@book{CTT100881971,
  author = {Jon Krohn and Kenji Suzuki and 清水美樹},
  title = {Python, TensorFlowで実践する深層学習入門 しくみの理解と応用},
  publisher = {東京化学同人},
  year = 2022,
}

@book{CTT100901044,
  author = {Ze Jin and Taiguang Yuan and Yukiko Tokuda and Yasuto Naoi and Noriyuki Tomiyama and Kenji Suzuki},
  title = {Radiomics: Approach to Precision Medicine},
  publisher = {Springer},
  year = 2022,
}

@book{CTT100866051,
  author = {Kenji Suzuki},
  title = {Computerized Detection of Lesions in Diagnostic Images with Early Deep Learning Models},
  publisher = {Springer, Cham},
  year = 2022,
}

@book{CTT100871068,
  author = {Kenji Suzuki},
  title = {医用画像処理における深層学習},
  publisher = {日本医学出版},
  year = 2022,
}

@book{CTT100862854,
  author = {Kenji Suzuki},
  title = {Deep Learning in Medical Image Processing and Computer-Aided Diagnosis},
  publisher = {Jenny Stanford Publishing},
  year = 2021,
}

@book{CTT100828619,
  author = {Kenji Suzuki},
  title = {大規模学習ニューラルネット（MTANN）},
  publisher = {オーム社},
  year = 2020,
}

@book{CTT100888650,
  author = {Zarshenas A. and Suzuki K.},
  title = {Deep Learning for Medical Image Processing: Bones and Soft Tissue Separation in Chest Radiographs},
  publisher = {IOP Publishing},
  year = 2019,
}

@book{CTT100828314,
  author = {Suzuki K. and Reyes M. and Syeda-Mahmood T. and Konukoglu E. and Glocker B. and Wiest R. and Gur Y. and Greenspan H. and Madabhushi A.},
  title = {Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support},
  publisher = {Springer},
  year = 2019,
}

@book{CTT100828315,
  author = {Liao H. and Balocco S. and Wang G. and Zhang F. and Liu Y. and Ding Z. and Duong L. and Phellan R. and Zahnd G. and Breininger K. and Albarqouni S. and Moriconi S. and Lee S.-L. and Demirci S. and Suzuki K. and Greenspan H. and Wang Q. and van Ginneken B. and Zhou L.},
  title = {Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting},
  publisher = {Springer},
  year = 2019,
}

@book{CTT100828317,
  author = {Greenspan H. and Tanno R. and Erdt M. and Arbel T. and Baumgartner C. and Dalca A. and Sudre C.H. and Wells III W.M. and Drechsler K. and Linguraru M.G. and Oyarzun Laura C. and Shekhar R. and Wesarg S. and González Ballester M.Á. and Suzuki K. and Liao H. and Wang Q. and van Ginneken B. and Zhou L.},
  title = {Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures},
  publisher = {Springer},
  year = 2019,
}

@book{CTT100828621,
  author = {Tajbakhsh, N. and Kenji Suzuki},
  title = {A comparative study of modern machine learning approaches for focal lesion detection and classification in medical images: BoVW, CNN and MTANN},
  publisher = {Springer},
  year = 2018,
}

@book{CTT100828908,
  author = {Kenji Suzuki and Chen Yisong},
  title = {Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging},
  publisher = {Springer Cham},
  year = 2018,
}

@book{CTT100828622,
  author = {Zarshenas, A. and Kenji Suzuki},
  title = {Introduction to binary coordinate ascent: New insights into efficient feature subset selection for machine learning},
  publisher = {Springer},
  year = 2018,
}

@book{CTT100828909,
  author = {Jianwu Xu and Amin Zarshenas and Yisong Chen and Kenji Suzuki},
  title = {Massive-Training Support Vector Regression With Feature Selection in Application of Computer-Aided Detection of Polyps in CT Colonography},
  publisher = {IGI Global},
  year = 2018,
}

@book{CTT100828327,
  author = {Kenji Suzuki and Liu J. and Zarshenas A. and Higaki T. and Fukumoto W. and Awai, K.},
  title = {Neural network convolution (NNC) for converting ultra-low-dose to “virtual” high-dose CT images},
  publisher = {},
  year = 2017,
}

@book{CTT100828623,
  author = {Kenji Suzuki},
  title = {Computer-aided detection of lung cancer},
  publisher = {Springer},
  year = 2017,
}

@book{CTT100828915,
  author = {Wang Qian and Shi Yinghuan and Suk Heung-Il and Kenji Suzuki},
  title = {Machine Learning in Medical Imaging (Lecture Notes in Computer Science 10541)},
  publisher = {Springer Cham},
  year = 2017,
}

@book{CTT100828641,
  author = {Kenji Suzuki},
  title = {Computerized Detection of Lesions in Diagnostic Images},
  publisher = {Springer International Publishing},
  year = 2015,
}

@book{CTT100828919,
  author = {Chen, S. and Kenji Suzuki},
  title = {Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs combined with total variation minimization smoothing and consistency processing},
  publisher = {Springer},
  year = 2014,
}

@book{CTT100828952,
  author = {Kenji Suzuki},
  title = {Computational intelligence in biomedical imaging},
  publisher = {},
  year = 2014,
}

@book{CTT100828953,
  author = {Kenji Suzuki},
  title = {Pixel-based machine learning in computer-aided diagnosis of lung and colon Cancer},
  publisher = {Springer},
  year = 2013,
}

@book{CTT100828960,
  author = {Huynh, H.T. and Karademir, I. and Oto, A. and Kenji Suzuki},
  title = {Liver volumetry in MRI by using fast marching algorithm coupled with 3d geodesic active contour segmentation},
  publisher = {Springer},
  year = 2013,
}

@book{CTT100828956,
  author = {Kenji Suzuki},
  title = {Artificial Neural Networks - Architectures and Applications},
  publisher = {Intech},
  year = 2013,
}

@book{CTT100828963,
  author = {Guorong Wu and Daoqiang Zhang and Dinggang Shen and Pingkun Yan and Kenji Suzuki and Fei Wang},
  title = {Machine Learning in Medical Imaging (Lecture Notes in Computer Science 8184)},
  publisher = {Springer Cham},
  year = 2013,
}

@book{CTT100829163,
  author = {Kenji Suzuki},
  title = {MTANNs を応用した病巣陰影の識別},
  publisher = {オーム社},
  year = 2012,
}

@book{CTT100829162,
  author = {Kenji Suzuki},
  title = {Neural Networks},
  publisher = {オーム社},
  year = 2012,
}

@book{CTT100828972,
  author = {Sheng Chen and Kenji Suzuki},
  title = {Computerized Detection of Lung Nodules on Chest Radiographs: Application of Bone Suppression Imaging by Means of Multiple Massive-Training ANNs},
  publisher = {IGI Global},
  year = 2012,
}

@book{CTT100828931,
  author = {Kenji Suzuki},
  title = {Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis},
  publisher = {IGI Global},
  year = 2012,
}

@book{CTT100828978,
  author = {Fei Wang and Dinggang Shen and Pingkun Yan and Kenji Suzuki},
  title = {Machine Learning in Medical Imaging (Lecture Notes in Computer Science 7588)},
  publisher = {Springer Berlin, Heidelberg},
  year = 2012,
}

@book{CTT100828965,
  author = {Jian-Wu Xu and Kenji Suzuki},
  title = {Computer-Aided Detection of Polyps in CT Colonography by Means of Feature Selection and Massive-Training Support Vector Regression},
  publisher = {IGI Global},
  year = 2012,
}

@book{CTT100828624,
  author = {Kenji Suzuki},
  title = {Computer-aided detection of lung nodules in chest radiographs and thoracic CT},
  publisher = {CRC press},
  year = 2011,
}

@book{CTT100828982,
  author = {Kenji Suzuki},
  title = {Artificial Neural Networks - Industrial and Control Engineering Applications},
  publisher = {Intech},
  year = 2011,
}

@book{CTT100828981,
  author = {Kenji Suzuki},
  title = {Pixel-Based Artificial Neural Networks in Computer-Aided Diagnosis},
  publisher = {Intech},
  year = 2011,
}

@book{CTT100828980,
  author = {Kenji Suzuki},
  title = {Artificial Neural Networks - Methodological Advances and Biomedical Applications},
  publisher = {Intech},
  year = 2011,
}

@book{CTT100828985,
  author = {Kenji Suzuki},
  title = {Computerized Segmentation of Organs by Means of Geodesic Active-Contour Level-Set Algorithm},
  publisher = {Springer},
  year = 2011,
}

@book{CTT100828627,
  author = {Kenji Suzuki},
  title = {Massive-training artificial neural networks for supervised enhancement/suppression of lesions/patterns in medical images},
  publisher = {Nova Science Publishers},
  year = 2011,
}

@book{CTT100828990,
  author = {Kenji Suzuki and Dachman A. H.},
  title = {Usefulness of computer-aided diagnosis in CT colonography},
  publisher = {Liberia Akadia Editorial},
  year = 2011,
}

@book{CTT100829161,
  author = {Suzuki Kenji. and Wang F. and Shen D. and Yan P.},
  title = {Machine Learning in Medical Imaging (Lecture Notes in Computer Science 7009)},
  publisher = {Springer Berlin, Heidelberg},
  year = 2011,
}

@book{CTT100828983,
  author = {Kenji Suzuki and Dachman Abraham H.},
  title = {Computer-Aided Diagnosis in Computed Tomographic Colonography},
  publisher = {Springer},
  year = 2010,
}

@book{CTT100828992,
  author = {Kenji Suzuki},
  title = {Massive-Training Artificial Neural Networks (MTANN) in Computer-Aided Detection of Colorectal Polyps and Lung Nodules in CT},
  publisher = {Intech},
  year = 2010,
}

@book{CTT100828991,
  author = {Mark L. Epstein and Ivan Sheu and Kenji Suzuki},
  title = {Hessian Matrix-Based Shape Extraction and Volume Growing for 3D Polyp Segmentation in CT Colonography},
  publisher = {Intech},
  year = 2010,
}

@book{CTT100828993,
  author = {Fei Wang and Pingkun Yan and Kenji Suzuki and Dinggang Shen},
  title = {Machine Learning in Medical Imaging (Lecture Notes in Computer Science 6357)},
  publisher = {Springer Berlin, Heidelberg},
  year = 2010,
}

@book{CTT100828997,
  author = {Giger, M.L. and Kenji Suzuki},
  title = {Computer-aided diagnosis},
  publisher = {Academic Press},
  year = 2008,
}

@book{CTT100829164,
  author = {Kenji Suzuki},
  title = {平滑化 ，エッジ保存平滑化，ぼけ復元，焦点，動き，画像復元},
  publisher = {共立出版},
  year = 2002,
}

@article{CTT100911600,
  author = {Mahmood U. and Shukla-Dave A. and Chan H. P. and Drukker K. and Samala R. K. and Chen Q. and Vergara D. and Greenspan H. and Petrick N. and Sahiner B. and Huo Z. and Summers R. M. and Cha K. H. and Tourassi G. and Deserno T. M. and Grizzard K. T. and Nappi J. J. and Yoshida H. and Regge D. and Mazurchuk R. and Suzuki K. and Morra L. and Huisman H. and Armato and III S. G. and Hadjiiski L.},
  title = {Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing},
  journal = {BJR Artificial Intelligence},
  year = 2024,
}

@article{CTT100907778,
  author = {Pavarut S. and Preedanan W. and Kumazawa I. and Suzuki K. and Kobayashi M. and Tanaka H. and Ishioka J. and Matsuoka Y. and Fujii Y.},
  title = {Improving Kidney Tumor Classification With Multi-Modal Medical Images Recovered Partially by Conditional CycleGAN},
  journal = {IEEE Access},
  year = 2023,
}

@article{CTT100903080,
  author = {Wahyu Rahmaniar and Kenji Suzuki and Ting-Lan Lin},
  title = {Auto-CA: Automated Cobb Angle Measurement Based on Vertebrae Detection for Assessment of Spinal Curvature Deformity},
  journal = {IEEE Transactions on Biomedical Engineering},
  year = 2023,
}

@article{CTT100898707,
  author = {Tomoyuki Shishido and Yasuhiro Ono and Itsuo Kumazawa and Ichiro Iwai and kenji suzuki},
  title = {Artificial intelligence model substantially improves stratum corneum moisture content prediction from visible-light skin images and skin feature factors},
  journal = {Skin Research and Technology},
  year = 2023,
}

@article{CTT100887329,
  author = {Wongsakorn Preedanan and Kenji Suzuki and Toshiaki Kondo and Masaki Kobayashi and Hajime Tanaka and Junichiro Ishioka and Yoh Matsuoka and Yasuhisa Fujii and Itsuo Kumazawa},
  title = {Urinary Stones Segmentation in Abdominal X-Ray Images Using Cascaded U-Net Pipeline with Stone-Embedding Augmentation and Lesion-Size Reweighting Approach},
  journal = {IEEE Access},
  year = 2023,
}

@article{CTT100885284,
  author = {Lubomir Hadjiiski and Kenny Cha and Heang-Ping Chan and Karen Drukker and Lia Morra and Janne J. Näppi and Berkman Sahiner and Hiroyuki Yoshida and Quan Chen and Thomas M. Deserno and Hayit Greenspan and Henkjan Huisman and Zhimin Huo and Richard Mazurchuk and Nicholas Petrick and Daniele Regge and Ravi Samala and Ronald M. Summers and Kenji Suzuki and Georgia Tourassi and Daniel Vergara and Samuel G. Armato III},
  title = {AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer-aided diagnosis in medical imaging},
  journal = {Medical Physics},
  year = 2022,
}

@article{CTT100885283,
  author = {Wongsakorn Preedanan and Kenji Suzuki and Kondo T. and Kobayashi M. and Tanaka H. and Ishioka J. and Matsuoka Y. and Fujii Y. and Itsuo Kumazawa},
  title = {Improvement of Urinary Stone Segmentation Using GAN-Based Urinary Stones Inpainting Augmentation},
  journal = {IEEE Access},
  year = 2022,
}

@article{CTT100861574,
  author = {Kobayashi M. and Ishioka J. and Matsuoka Y. and Fukuda Y. and Kohno Y. and Kawano K. and Morimoto S. and Muta R. and Fujiwara M. and Kawamura N. and Okuno T. and Yoshida S. and Yokoyama M. and Suda R. and Saiki R. and Suzuki K. and Kumazawa I. and Fujii Y.},
  title = {Computer-aided diagnosis with a convolutional neural network algorithm for automated detection of urinary tract stones on plain X-ray},
  journal = {BMC Urology},
  year = 2021,
}

@article{CTT100871065,
  author = {Kenji Suzuki},
  title = {深層学習による医用画像診断支援},
  journal = {BIO Clinica},
  year = 2021,
}

@article{CTT100862833,
  author = {Kenji Suzuki},
  title = {Artificial Intelligence for Virtual Medical Imaging for Accurate Diagnosis},
  journal = {},
  year = 2021,
}

@article{CTT100842315,
  author = {Kenji Suzuki},
  title = {スモールデータ深層学習とその医用画像処理・診断支援への応用},
  journal = {医学のあゆみ},
  year = 2020,
}

@article{CTT100842317,
  author = {Martínez-García M. and Zhang Y. and Kenji Suzuki and Zhang Y.},
  title = {Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring},
  journal = {IEEE Transactions on Industrial Informatics},
  year = 2020,
}

@article{CTT100828316,
  author = {Zarshenas A. and Liu J. and Forti P. and Kenji Suzuki},
  title = {Separation of bones from soft tissue in chest radiographs: Anatomy-specific orientation-frequency-specific deep neural network convolution},
  journal = {Medical Physics},
  year = 2019,
}

@article{CTT100828313,
  author = {Shi, Z. and Hao, H. and Zhao, M. and Feng, Y. and He, L. and Wang, Y. and Kenji Suzuki},
  title = {A deep CNN based transfer learning method for false positive reduction},
  journal = {Multimedia Tools and Applications},
  year = 2019,
}

@article{CTT100791217,
  author = {Kenji Suzuki},
  title = {Overview of deep learning in medical imaging},
  journal = {Radiological Physics and Technology},
  year = 2017,
}

@article{CTT100845096,
  author = {平野靖 and 伊藤貴佳 and 橋本典明 and 木戸尚治 and Kenji Suzuki},
  title = {胸腹部コンピューター支援診断におけるMTANN深層学習},
  journal = {Medical Imaging Technology},
  year = 2017,
}

@article{CTT100829269,
  author = {Kenji Suzuki},
  title = {Survey of Deep Learning Applications to Medical Image Analysis},
  journal = {Medical Imaging Technology},
  year = 2017,
}

@article{CTT100829270,
  author = {Kenji SUZUKI},
  title = {Machine Learning in Medical Imaging Before and After Introduction of Deep Learning},
  journal = {Medical Imaging and Information Sciences},
  year = 2017,
}

@article{CTT100828353,
  author = {Chen, Y. and Chan, A.B. and Lin, Z. and Wang, G. and Kenji Suzuki},
  title = {Efficient tree-structured SfM by RANSAC generalized Procrustes analysis},
  journal = {Computer Vision and Image Understanding},
  year = 2017,
}

@article{CTT100885833,
  author = {Ayman El-Baz and Georgy Gimel’farb and Kenji Suzuki},
  title = {Special issue: Machine Learning Applications in Medical Image Analysis},
  journal = {Computational and Mathematical Methods in Medicine},
  year = 2017,
}

@article{CTT100885834,
  author = {Kenji Suzuki and Luping Zhou and Qian Wang},
  title = {Special issue: Machine Learning in Medical Imaging},
  journal = {Pattern Recognition},
  year = 2017,
}

@article{CTT100828354,
  author = {Huynh, H.T. and Le-Trong, N. and Bao, P.T. and Oto, A. and Kenji Suzuki},
  title = {Fully automated MR liver volumetry using watershed segmentation coupled with active contouring},
  journal = {International Journal of Computer Assisted Radiology and Surgery},
  year = 2017,
}

@article{CTT100828351,
  author = {Tajbakhsh, N. and Kenji Suzuki},
  title = {Comparing two classes of end-to-end machine-learning models in lung nodule detection and classification: MTANNs vs. CNNs},
  journal = {Pattern Recognition},
  year = 2017,
}

@article{CTT100828406,
  author = {He, L. and Zhao, X. and Yao, B. and Yang, Y. and Chao, Y. and Shi, Z. and Kenji Suzuki},
  title = {A combinational algorithm for connected-component labeling and Euler number computing},
  journal = {Journal of Real-Time Image Processing},
  year = 2017,
}

@article{CTT100828359,
  author = {Zarshenas, A. and Kenji Suzuki},
  title = {Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning},
  journal = {Knowledge-Based Systems},
  year = 2016,
}

@article{CTT100885831,
  author = {Gonzalo Pajares Martinsanz and Philip Morrow and Kenji Suzuki},
  title = {Special issue: Image and Video Processing in Medicine},
  journal = {Journal of Imaging},
  year = 2016,
}

@article{CTT100885832,
  author = {Yi-Xiang Wang and Yong E. Chung and Weibo Cai and Kenji Suzuki},
  title = {Special issue: Advances in Translational Cancer Imaging: Opportunities and Challenges},
  journal = {BioMed Research International},
  year = 2016,
}

@article{CTT100828370,
  author = {Chen, S. and Zhong, S. and Yao, L. and Shang, Y. and Kenji Suzuki},
  title = {Enhancement of chest radiographs obtained in the intensive care unit through bone suppression and consistent processing},
  journal = {Physics in Medicine and Biology},
  year = 2016,
}

@article{CTT100828329,
  author = {Sihai, Y. and Xu, J. and Kenji Suzuki},
  title = {Density Index: Extension of Shape Index in Describing Local Intensity Variations in a 3D Image},
  journal = {Journal of Computer-Aided Design & Computer Graphics},
  year = 2016,
}

@article{CTT100828379,
  author = {Shi, Z. and Ma, J. and Zhao, M. and Liu, Y. and Feng, Y. and Zhang, M. and He, L. and Kenji Suzuki},
  title = {Many Is Better Than One: An Integration of Multiple Simple Strategies for Accurate Lung Segmentation in CT Images},
  journal = {BioMed Research International},
  year = 2016,
}

@article{CTT100829271,
  author = {Shi Z. and Ma J. and Feng L. and He L. and Kenji Suzuki},
  title = {Evaluation of MTANNs for eliminating false-positive with different computer aided pulmonary nodules detection software},
  journal = {Pakistan Journal of Pharmaceutical Sciences},
  year = 2015,
}

@article{CTT100828346,
  author = {Epstein M. L. and Obara P. R. and Chen Y. and Liu J. and Zarshenas A. and Makkinejad N. and Dachman A. H. and Kenji Suzuki},
  title = {Quantitative radiology: automated measurement of polyp volume in computed tomography colonography using Hessian matrix-based shape extraction and volume growing},
  journal = {Quantitative imaging in medicine and surgery},
  year = 2015,
}

@article{CTT100828392,
  author = {Shi, Z. and Xu, B. and Zhao, M. and Zhao, J. and Wang, Y. and Liu, Y. and Zhang, M. and He, L. and Kenji Suzuki},
  title = {A joint ROI extraction filter for computer aided lung nodule detection},
  journal = {Bio-Medical Materials and Engineering},
  year = 2015,
}

@article{CTT100828343,
  author = {Dai, P. and Luo, H. and Sheng, H. and Zhao, Y. and Li, L. and Wu, J. and Zhao, Y. and Kenji Suzuki},
  title = {A new approach to segment both main and peripheral retinal vessels based on gray-voting and Gaussian mixture model},
  journal = {PLoS ONE},
  year = 2015,
}

@article{CTT100828395,
  author = {Shi, Z. and Si, C. and Zhao, M. and He, L. and Zhang, M. and Kenji Suzuki},
  title = {An automatic method for lung segmentation in thin slice computed tomography based on random walks},
  journal = {Journal of Medical Imaging and Health Informatics},
  year = 2015,
}

@article{CTT100885830,
  author = {Kenji Suzuki},
  title = {Special issue: Machine Learning in Medical Imaging},
  journal = {Computerized Medical Imaging and Graphics},
  year = 2015,
}

@article{CTT100828438,
  author = {Wang Y. X. and Loffroy R. and Arora R. and Kenji Suzuki and Lee C. H. and Chung H. W. and Oei E. H. and Winston G. P. and Ng C. K.},
  title = {Relative income of clinical faculty members vs. science faculty members in university settings-a short survey of France, Hong Kong, India, Japan, South Korea, The Netherlands, Taiwan, UK, and USA},
  journal = {Quantitative Imaging in Medicine and Surgery},
  year = 2014,
}

@article{CTT100885829,
  author = {Fei Zuo and Jungong Han and Pingkun Yan and Hans van Assen and Kenji Suzuki},
  title = {Special issue: Advanced Computing for Image-Guided Intervention},
  journal = {},
  year = 2014,
}

@article{CTT100828430,
  author = {Yi-Xiang J Wang and Jing-Shan Gong and Kenji Suzuki and Sameh K Morcos},
  title = {Evidence based imaging strategies for solitary pulmonary nodule},
  journal = {Journal of Thoracic Disease},
  year = 2014,
}

@article{CTT100828421,
  author = {He, L. and Zhao, X. and Chao, Y. and Kenji Suzuki},
  title = {Configuration-transition-based connected-component labeling},
  journal = {IEEE Transactions on Image Processing},
  year = 2014,
}

@article{CTT100828420,
  author = {Huynh, H.T. and Karademir, I. and Oto, A. and Kenji Suzuki},
  title = {Computerized liver volumetry on MRI by using 3D geodesic active contour segmentation},
  journal = {American Journal of Roentgenology},
  year = 2014,
}

@article{CTT100885486,
  author = {Zhenghao Shi and Chunjiao Si and Yaning Feng and Lifeng He and Kenji Suzuki},
  title = {A new method based on MTANNs for cutting down false-positives:An evaluation on different versions of commercial pulmonary nodule detection CAD software},
  journal = {Bio-Medical Materials and Engineering,},
  year = 2014,
}

@article{CTT100828441,
  author = {Chen S. and Kenji Suzuki},
  title = {Separation of bones from chest radiographs by means of anatomically specific multiple massive-training ANNs combined with total variation minimization smoothing},
  journal = {IEEE Transactions on Medical Imaging},
  year = 2013,
}

@article{CTT100885826,
  author = {Pingkun Yan and Kenji Suzuki and Fei Wang and Dinggang Shen},
  title = {Special issue: Machine Learning in Medical Imaging},
  journal = {Machine Vision and Applications},
  year = 2013,
}

@article{CTT100828436,
  author = {Jian-Wu Xu and Kenji Suzuki},
  title = {Max-AUC feature selection in computer-aided detection of polyps in CT colonography},
  journal = {IEEE Journal of Biomedical and Health Informatics},
  year = 2013,
}

@article{CTT100828443,
  author = {Shi, Z. and Zhao, M. and He, L. and Wang, Y. and Zhang, M. and Kenji Suzuki},
  title = {A Computer Aided Pulmonary Nodule Detection System Using Multiple Massive Training SVMs},
  journal = {Applied Mathematics & Information Sciences},
  year = 2013,
}

@article{CTT100828449,
  author = {Li-Feng He and Yu-Yan Chao and Kenji Suzuki},
  title = {An algorithm for connected-component labeling, hole labeling and euler number computing},
  journal = {Journal of Computer Science and Technology},
  year = 2013,
}

@article{CTT100828462,
  author = {Kenji Suzuki},
  title = {Machine learning in computer-aided diagnosis of the thorax and colon in CT: A survey},
  journal = {IEICE Transactions on Information and Systems},
  year = 2013,
}

@article{CTT100828455,
  author = {Chen, S. and Kenji Suzuki},
  title = {Computerized detection of lung nodules by means of 'virtual dual-energy' radiography},
  journal = {IEEE Transactions on Biomedical Engineering},
  year = 2013,
}

@article{CTT100885613,
  author = {El-Baz A. and Beache G. M. and Gimel'farb G. and Kenji Suzuki and Okada K. and Elnakib A. and Soliman A. and Abdollahi B.},
  title = {Computer-Aided Diagnosis Systems for Lung Cancer: Challenges and Methodologies},
  journal = {International Journal of Biomedical Imaging},
  year = 2013,
}

@article{CTT100828464,
  author = {Yu, Q. and He, L. and Nakamura, T. and Chao, Y. and Kenji Suzuki},
  title = {A mutual-information-based global matching method for chest-radiography temporal subtraction},
  journal = {Journal of Advanced Computational Intelligence and Intelligent Informatics},
  year = 2012,
}

@article{CTT100885828,
  author = {Ayman El-Baz and Garth M. Beache and Georgy Gimel'farb and Kenji Suzuki and Kazunori Okada},
  title = {Special issue: Lung Imaging Data Analysis},
  journal = {},
  year = 2012,
}

@article{CTT100885827,
  author = {Kenji Suzuki},
  title = {Special Issue: Machine Learning for Medical Imaging 2012},
  journal = {Algorithms},
  year = 2012,
}

@article{CTT100828472,
  author = {Kenji Suzuki},
  title = {A review of computer-aided diagnosis in thoracic and colonic imaging},
  journal = {Quantitative Imaging in Medicine and Surgery},
  year = 2012,
}

@article{CTT100828494,
  author = {Shi Z. and Li L. and Zhao M. and He L. and Wang Y. and Zhang M. and Kenji Suzuki},
  title = {Sparse field snake model: A novel active contour model used for lung segmentation on chest radiographs},
  journal = {ICIC Express Letters, Part B: Applications},
  year = 2012,
}

@article{CTT100828475,
  author = {Shi, Z. and Zhao, M. and Wang, Y. and He, L. and Kenji Suzuki and Jin, C. and Zhang, M.},
  title = {Hessian-log: A novel dot enhancement filter},
  journal = {ICIC Express Letters, Part B: Applications},
  year = 2012,
}

@article{CTT100828468,
  author = {Shi, Z. and Li, L. and Kenji Suzuki and Wang, Y. and He, L. and Jin, C. and Zhang, M.},
  title = {A new computer aided detection system for pulmonary nodule detection in chest radiography},
  journal = {Advanced Science Letters},
  year = 2012,
}

@article{CTT100828484,
  author = {Kenji Suzuki},
  title = {Pixel-based machine learning in medical imaging},
  journal = {International Journal of Biomedical Imaging},
  year = 2012,
}

@article{CTT100828486,
  author = {Liao S. and Penney B.C. and Zhang H. and Kenji Suzuki and Pu Y.},
  title = {Prognostic Value of the Quantitative Metabolic Volumetric Measurement on 18F-FDG PET/CT in Stage IV Nonsurgical Small-cell Lung Cancer},
  journal = {Academic Radiology},
  year = 2012,
}

@article{CTT100828471,
  author = {He, L. and Chao, Y. and Kenji Suzuki},
  title = {A new first-scan method for two-scan labeling algorithms},
  journal = {IEICE Transactions on Information and Systems},
  year = 2012,
}

@article{CTT100828503,
  author = {Hori, M. and Kenji Suzuki and Epstein, M.L. and Baron, R.L.},
  title = {Computed tomography liver volumetry using 3-dimensional image data in living donor liver transplantation: Effects of the slice thickness on the volume calculation},
  journal = {Liver Transplantation},
  year = 2011,
}

@article{CTT100828500,
  author = {Chao, Y. and He, L. and Kenji Suzuki},
  title = {A new connected-component labeling algorithm},
  journal = {American Journal of Engineering and Technology Research},
  year = 2011,
}

@article{CTT100828489,
  author = {Kenji Suzuki and Epstein M.L. and Kohlbrenner R. and Garg S. and Hori M. and Oto A. and Baron R.L.},
  title = {Quantitative radiology: Automated CT liver volumetry compared with interactive volumetry and manual volumetry},
  journal = {American Journal of Roentgenology},
  year = 2011,
}

@article{CTT100828526,
  author = {Liao S. and Penney B.C. and Wroblewski K. and Zhang H. and Simon C.A. and Kampalath R. and Shih M.-C. and Shimada N. and Chen S. and Salgia R. and Appelbaum D.E. and Kenji Suzuki and Chen C.-T. and Pu Y.},
  title = {Prognostic value of metabolic tumor burden on <sup>18</sup>F-FDG PET in nonsurgical patients with non-small cell lung cancer},
  journal = {European Journal of Nuclear Medicine and Molecular Imaging},
  year = 2011,
}

@article{CTT100828446,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Nakamura, T.},
  title = {A new first-scan strategy for raster-scan-based labeling algorithms},
  journal = {Journal of Information Processing Society of Japan},
  year = 2011,
}

@article{CTT100828521,
  author = {Jian-Wu Xu and Kenji Suzuki},
  title = {Massive-training support vector regression and Gaussian process for false-positive reduction in computer-aided detection of polyps in CT colonography},
  journal = {Medical Physics},
  year = 2011,
}

@article{CTT100828513,
  author = {Chen, S. and Kenji Suzuki and MacMahon, H.},
  title = {Development and evaluation of a computer-aided diagnostic scheme for lung nodule detection in chest radiographs by means of two-stage nodule enhancement with support vector classification},
  journal = {Medical Physics},
  year = 2011,
}

@article{CTT100828536,
  author = {He L. and Chao Y. and Kenji Suzuki},
  title = {Two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images},
  journal = {IEEE Transactions on Image Processing},
  year = 2011,
}

@article{CTT100828497,
  author = {Yu, Q. and He, L. and Nakamura, T. and Kenji Suzuki and Chao, Y.},
  title = {A Multilayered Partitioning Image Registration Method for Chest-Radiograph Temporal Subtraction},
  journal = {American Journal of Engineering and Technology Research},
  year = 2011,
}

@article{CTT100828502,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Yu, Q. and Tang, W. and Shi, Z.},
  title = {An Algorithm for Labeling Connected Components and Holes},
  journal = {American Journal of Engineering and Technology Research},
  year = 2011,
}

@article{CTT100828541,
  author = {Lostumbo, A. and Kenji Suzuki and Dachman, A.H.},
  title = {Flat lesions in CT colonography},
  journal = {Abdominal Imaging},
  year = 2010,
}

@article{CTT100828499,
  author = {Shi, Z. and Bai, J. and Kenji Suzuki and He, L. and Yao, Q. and Nakamura, T.},
  title = {A method for enhancing dot-like regions in chest X-rays based on directional scale LoG filter},
  journal = {Journal of Information and Computational Science},
  year = 2010,
}

@article{CTT100828518,
  author = {Kenji Suzuki and Zhang, J. and Xu, J.},
  title = {Massive-training artificial neural network coupled with laplacian-eigenfunction-based dimensionality reduction for computer-aided detection of polyps in CT colonography},
  journal = {IEEE Transactions on Medical Imaging},
  year = 2010,
}

@article{CTT100828504,
  author = {He, L. and Chao, Y. and Kenji Suzuki},
  title = {A Run-based one-and-a-half-scan connected-component labeling algorithm},
  journal = {International Journal of Pattern Recognition and Artificial Intelligence},
  year = 2010,
}

@article{CTT100828514,
  author = {Kenji Suzuki and Kohlbrenner, R. and Epstein, M.L. and Obajuluwa, A.M. and Xu, J. and Hori, M.},
  title = {Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms},
  journal = {Medical Physics},
  year = 2010,
}

@article{CTT100828505,
  author = {He, L. and Chao, Y. and Kenji Suzuki},
  title = {An efficient first-scan method for label-equivalence-based labeling algorithms},
  journal = {Pattern Recognition Letters},
  year = 2010,
}

@article{CTT100828509,
  author = {Lostumbo, A. and Wanamaker, C. and Tsai, J. and Kenji Suzuki and Dachman, A.H.},
  title = {Comparison of 2D and 3D Views for Evaluation of Flat Lesions in CT Colonography},
  journal = {Academic Radiology},
  year = 2010,
}

@article{CTT100828506,
  author = {Kenji Suzuki and Rockey, D.C. and Dachman, A.H.},
  title = {CT colonography: Advanced computer-aided detection scheme utilizing MTANNs for detection of "missed" polyps in a multicenter clinical trial},
  journal = {Medical Physics},
  year = 2009,
}

@article{CTT100828525,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Nakamura, T. and Itoh, H.},
  title = {A high-speed labeling algorithm for three-dimensional binary images},
  journal = {Transactions of IEICE},
  year = 2009,
}

@article{CTT100828544,
  author = {Oda, S. and Awai, K. and Kenji Suzuki and Yanaga, Y. and Funama, Y. and MacMahon, H. and Yamashita, Y.},
  title = {Performance of radiologists in detection of small pulmonary nodules on chest radiographs: Effect of rib suppression with a massive-training artificial neural network},
  journal = {American Journal of Roentgenology},
  year = 2009,
}

@article{CTT100828537,
  author = {Hori, M. and Oto, A. and Orrin, S. and Kenji Suzuki and Baron, R.L.},
  title = {Diffusion-weighted MRI: A new tool for the diagnosis of fistula in ano},
  journal = {Journal of Magnetic Resonance Imaging},
  year = 2009,
}

@article{CTT100828539,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Wu, K.},
  title = {Fast connected-component labeling},
  journal = {Pattern Recognition},
  year = 2009,
}

@article{CTT100828533,
  author = {Kenji Suzuki},
  title = {A supervised 'lesion-enhancement' filter by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD)},
  journal = {Physics in Medicine and Biology},
  year = 2009,
}

@article{CTT100828543,
  author = {Wu, K. and Otoo, E. and Kenji Suzuki},
  title = {Optimizing two-pass connected-component labeling algorithms},
  journal = {Pattern Analysis and Applications},
  year = 2009,
}

@article{CTT100828530,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Nakamura, T. and Itoh, H.},
  title = {A strategy for efficiency improvement of the first-scan in raster-scan-based labeling algorithms},
  journal = {Transactions of IEICE},
  year = 2009,
}

@article{CTT100885478,
  author = {Takeshi Inaba and Lifeng He and Kenji Suzuki and Kazuhito Murakami and Yuyan Chao},
  title = {A Genetic-Algorithm-Based Temporal Subtraction for Chest Radiographs},
  journal = {Journal of Advanced Computational Intelligence and Intelligent Informatics},
  year = 2009,
}

@article{CTT100828547,
  author = {Shi Z. and He L. and Nakamura T. and Kenji Suzuki and Itoh H.},
  title = {Survey on Neural Networks Used for Medical Image Processing},
  journal = {International Journal of Computational Science},
  year = 2009,
}

@article{CTT100828528,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Nakamura, T. and Itoh, H.},
  title = {A label-equivalence-based one-scan labeling algorithm},
  journal = {Journal of Information Processing Society of Japan},
  year = 2009,
}

@article{CTT100828550,
  author = {Lifeng, H. and Yuyan, C. and Kenji Suzuki and Nakamura, T. and Itoh, H.},
  title = {A high-speed run-based two-scan labeling algorithm},
  journal = {Journal of the Institute of Image Information and Television Engineers},
  year = 2008,
}

@article{CTT100828556,
  author = {Kenji Suzuki and Yoshida, H. and Näppi, J. and Armato III, S.G. and Dachman, A.H.},
  title = {Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography},
  journal = {Medical Physics},
  year = 2008,
}

@article{CTT100828553,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Nakamura, T. and Itoh, H.},
  title = {An efficient two-scan connected-component labeling algorithm},
  journal = {Transactions of IEICE},
  year = 2008,
}

@article{CTT100828557,
  author = {Shi, Z. and Chao, Y. and He, L. and Kenji Suzuki and Nakamura, T. and Itoh, H.},
  title = {Object Location and Track in Image Sequences by Means of Newral Networks},
  journal = {International Journal of Computational Science},
  year = 2008,
}

@article{CTT100828552,
  author = {He, L. and Chao, Y. and Kenji Suzuki},
  title = {A run-based two-scan labeling algorithm},
  journal = {IEEE Transactions on Image Processing},
  year = 2008,
}

@article{CTT100885517,
  author = {King M. and Giger M.L. and Suzuki K. and Pan X.},
  title = {Feature-based characterization of motion-contaminated calcified plaques in cardiac multidetector CT},
  journal = {Medical Physics},
  year = 2007,
}

@article{CTT100828563,
  author = {King, M. and Giger, M.L. and Kenji Suzuki and Bardo, D.M.E. and Greenberg, B. and Lan, L. and Pan, X.},
  title = {Computerized assessment of motion-contaminated calcified plaques in cardiac multidetector CT},
  journal = {Medical Physics},
  year = 2007,
}

@article{CTT100828559,
  author = {Yuan, Y. and Giger, M.L. and Li, H. and Kenji Suzuki and Sennett, C.},
  title = {A dual-stage method for lesion segmentation on digital mammograms},
  journal = {Medical Physics},
  year = 2007,
}

@article{CTT100828562,
  author = {Doshi, T. and Rusinak, D. and Halvorsen, R.A. and Rockey, D.C. and Kenji Suzuki and Dachman, A.H.},
  title = {CT colonography: False-negative interpretations},
  journal = {Radiology},
  year = 2007,
}

@article{CTT100828561,
  author = {Yu-Yan Chao and Li-Feng He and Tsuyoshi Nakamura and Zheng-Hao Shi and Kenji Suzuki and Hidenori Itoh},
  title = {An improvement of Herbrand's theorem and its application to model generation theorem proving},
  journal = {Journal of Computer Science and Technology},
  year = 2007,
}

@article{CTT100828560,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Shi, Z. and Itoh, H.},
  title = {An Improvement on Sub-Herbrand Universe Computation},
  journal = {The Open Artificial Intelligence Journal},
  year = 2007,
}

@article{CTT100828576,
  author = {Kenji Suzuki and Yoshida, H. and Näppi, J. and Dachman, A.H.},
  title = {Massive-training artificial neural network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes},
  journal = {Medical Physics},
  year = 2006,
}

@article{CTT100828573,
  author = {Muramatsu, C. and Li, Q. and Schmidt, R. and Kenji Suzuki and Shiraishi, J. and Newstead, G. and Doi, K.},
  title = {Experimental determination of subjective similarity for pairs of clustered microcalcifications on mammograms: Observer study results},
  journal = {Medical Physics},
  year = 2006,
}

@article{CTT100828571,
  author = {Shiraishi, J. and Li, Q. and Kenji Suzuki and Engelmann, R. and Doi, K.},
  title = {Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: Localized search method based on anatomical classification},
  journal = {Medical Physics},
  year = 2006,
}

@article{CTT100828574,
  author = {Kenji Suzuki and Abe, H. and MacMahon, H. and Doi, K.},
  title = {Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN)},
  journal = {IEEE Transactions on Medical Imaging},
  year = 2006,
}

@article{CTT100828580,
  author = {Li, F. and Arimura, H. and Kenji Suzuki and Shiraishi, J. and Li, Q. and Abe, H. and Engelmann, R. and Sone, S. and MacMahon, H. and Doi, K.},
  title = {Computer-aided detection of peripheral lung cancers missed at CT: ROC analyses without and with localization},
  journal = {Radiology},
  year = 2005,
}

@article{CTT100828586,
  author = {Kenji Suzuki and Doi, K.},
  title = {How can a massive training artificial neural network (MTANN) be trained with a small number of cases in the distinction between nodules and vessels in thoracic CT?},
  journal = {Academic Radiology},
  year = 2005,
}

@article{CTT100828581,
  author = {Li, Q. and Li, F. and Kenji Suzuki and Shiraishi, J. and Abe, H. and Engelmann, R. and Nie, Y. and MacMahon, H. and Doi, K.},
  title = {Computer-aided diagnosis in thoracic CT},
  journal = {Seminars in Ultrasound, CT and MRI},
  year = 2005,
}

@article{CTT100828582,
  author = {Kenji Suzuki and Li, F. and Sone, S. and Doi, K.},
  title = {Computer-aided diagnostic scheme for distinction between benign and malignant nodules in thoracic low-dose CT by use of massive training artificial neural network},
  journal = {IEEE Transactions on Medical Imaging},
  year = 2005,
}

@article{CTT100828588,
  author = {Muramatsu, C. and Li, Q. and Kenji Suzuki and Schmidt, R.A. and Shiraishi, J. and Newstead, G.M. and Doi, K.},
  title = {Investigation of psychophysical measure for evaluation of similar images for mammographic masses: Preliminary results},
  journal = {Medical Physics},
  year = 2005,
}

@article{CTT100828585,
  author = {Kenji Suzuki and Shiraishi, J. and Abe, H. and MacMahon, H. and Doi, K.},
  title = {False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network},
  journal = {Academic Radiology},
  year = 2005,
}

@article{CTT100828592,
  author = {Kenji Suzuki},
  title = {Determining the receptive field of a neural filter},
  journal = {Journal of Neural Engineering},
  year = 2004,
}

@article{CTT100845095,
  author = {Kenji Suzuki},
  title = {Supervised Nonlinear Image Processing Based on Artificial Neural Networks: Basic Principle of Neural Image Processing and Its Applications},
  journal = {核医学技術},
  year = 2004,
}

@article{CTT100828596,
  author = {Li F. and Aoyama M. and Shiraishi J. and Abe H. and Li Q. and Kenji Suzuki and Engelmann R. and Sone S. and MacMahon H. and Doi K.},
  title = {Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy},
  journal = {American Journal of Roentgenology},
  year = 2004,
}

@article{CTT100828591,
  author = {Arimura, H. and Katsuragawa, S. and Kenji Suzuki and Li, F. and Shiraishi, J. and Sone, S. and Doi, K.},
  title = {Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening},
  journal = {Academic Radiology},
  year = 2004,
}

@article{CTT100828593,
  author = {Kenji Suzuki and Horiba, I. and Sugie, N. and Nanki, M.},
  title = {Extraction of Left Ventricular Contours From Left Ventriculograms by Means of a Neural Edge Detector},
  journal = {IEEE Transactions on Medical Imaging},
  year = 2004,
}

@article{CTT100828603,
  author = {Kenji Suzuki and Horiba, I. and Sugie, N.},
  title = {Neural Edge Enhancer for Supervised Edge Enhancement from Noisy Images},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year = 2003,
}

@article{CTT100828604,
  author = {Uchiyama Y. and Katsuragawa S. and Abe H. and Shiraishi J. and Li F. and Li Q. and Zhang C.-T. and Kenji Suzuki and Doi K.},
  title = {Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography},
  journal = {Medical Physics},
  year = 2003,
}

@article{CTT100828602,
  author = {Kenji Suzuki and Armato III, S.G. and Li, F. and Sone, S. and Doi, K.},
  title = {Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography},
  journal = {Medical Physics},
  year = 2003,
}

@article{CTT100845093,
  author = {Kenji Suzuki and 堀場勇夫 and 杉江昇},
  title = {ニューラルエッジ検出器によるノイズに埋もれた画像からのエッジ検出},
  journal = {電子情報通信学会論文誌 D-2},
  year = 2003,
}

@article{CTT100828598,
  author = {Kenji Suzuki and Horiba, I. and Sugie, N. and Nanki, M.},
  title = {Contour extraction of left ventricular cavity from digital subtraction angiograms using a neural edge detector},
  journal = {Systems and Computers in Japan},
  year = 2003,
}

@article{CTT100828600,
  author = {Kenji Suzuki and Horiba, I. and Sugie, N.},
  title = {Linear-time connected-component labeling based on sequential local operations},
  journal = {Computer Vision and Image Understanding},
  year = 2003,
}

@article{CTT100828607,
  author = {Kenji Suzuki and Horiba, I. and Sugie, N. and Nanki, M.},
  title = {Neural filter with selection of input features and its application to image quality improvement of medical image sequences},
  journal = {IEICE Transactions on Information and Systems},
  year = 2002,
}

@article{CTT100828605,
  author = {Kenji Suzuki and Horiba, I. and Sugie, N.},
  title = {Efficient approximation of neural filters for removing quantum noise from images},
  journal = {IEEE Transactions on Signal Processing},
  year = 2002,
}

@article{CTT100885570,
  author = {Ninagawa K. and Umeyama T. and Kenji Suzuki and Sugie N.},
  title = {Sound Source Separation in the Frequency Domain with Image Processing},
  journal = {IEEJ Transactions on Electronics, Information and Systems},
  year = 2001,
}

@article{CTT100845090,
  author = {Kenji Suzuki and 堀場勇夫 and 杉江昇 and 南木道生},
  title = {Improving Image Quality of Medical X-ray Image Sequences Using a Neural Filter with Selection of Input Features},
  journal = {情報処理学会論文誌},
  year = 2001,
}

@article{CTT100828609,
  author = {Kenji Suzuki and Horiba, I. and Sugie, N.},
  title = {A simple neural network pruning algorithm with application to filter synthesis},
  journal = {Neural Processing Letters},
  year = 2001,
}

@article{CTT100845089,
  author = {Kenji Suzuki and 堀場勇夫 and 杉江昇},
  title = {Fast Connected-Component Labeling through Sequential Local Operations in the Course of Forward Raster Scan Followed by Backward Raster Scan},
  journal = {情報処理学会論文誌},
  year = 2000,
}

@article{CTT100845088,
  author = {Kenji Suzuki and 堀場勇夫 and 杉江昇 and 南木道生},
  title = {ニューラルエッジ検出器を利用したDSAにおける左心室の輪郭抽出},
  journal = {電子情報通信学会論文誌 D},
  year = 2000,
}

@article{CTT100845086,
  author = {Kenji Suzuki and 堀場勇夫 and 杉江昇},
  title = {An Analysis of the Neural Filter Trained to Improve Quality of images with Quantum Noise and Realization of Approximate Filter},
  journal = {情報処理学会},
  year = 2000,
}

@article{CTT100845082,
  author = {Kenji Suzuki and 林達也 and 池田重之 and 堀場勇夫 and 杉江昇 and 南木道生},
  title = {ニューラルフィルタを用いた医用低線量X線動画像の画質改善},
  journal = {電気学会論文誌 C},
  year = 1999,
}

@article{CTT100845085,
  author = {Kenji Suzuki and 堀場勇夫 and 杉江昇},
  title = {A Method for Determining Reduced Structure of Neural Filter},
  journal = {情報処理学会論文誌},
  year = 1996,
}

@article{CTT100845081,
  author = {上田浩次 and 山田宗男 and 堀場勇夫 and 池谷和夫 and Kenji Suzuki},
  title = {アナログ出力ニューラルネットワークを用いた駐車率の直接推定方法},
  journal = {情報処理学会論文誌},
  year = 1995,
}

@article{CTT100828613,
  author = {Kenji Suzuki and Horiba I. and Ikegaya K. and Nanki M.},
  title = {Recognition of Coronary Arterial Stenosis Using Neural Network on DSA System},
  journal = {Systems and Computers in Japan},
  year = 1995,
}

@article{CTT100845080,
  author = {Kenji Suzuki and 堀場勇夫 and 池谷和夫 and 南木道生},
  title = {ニューラルネットを用いた冠動脈DSAにおける狭窄率認識},
  journal = {電子情報通信学会論文誌 D-2},
  year = 1994,
}

@inproceedings{CTT100911599,
  author = {Yuqiao Yang and Ze Jin and Fumihiko Nakatani and Mototaka Miyake and Kenji Suzuki},
  title = {“Small-data” Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation},
  booktitle = {},
  year = 2024,
}

@inproceedings{CTT100911585,
  author = {Kentaro Someya and Shogo Kodera and Hiroko Oshibe and Ze Jin and Kenji Suzuki},
  title = {CTにおける複数のMTANNを組み合わせた肺結節のセグメンテーション},
  booktitle = {},
  year = 2024,
}

@inproceedings{CTT100911586,
  author = {Takuya Ihara and Tomohiko Waki and Koji Fujita and Chenggeer Li and Ze Jin and Hiroko Oshibe and Kenji Suzuki},
  title = {スモールデータ深層学習を用いた単純X 線画像での舟状骨骨折検知AI システムの開発},
  booktitle = {},
  year = 2024,
}

@inproceedings{CTT100907908,
  author = {Kodera S. and Rahmaniar W. and Oshibe H. and Jin Z. and Watadani T. and Abe O. and Suzuki K.},
  title = {Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database},
  booktitle = {},
  year = 2024,
}

@inproceedings{CTT100907906,
  author = {Jin Z. and Pang M. and Qu T. and Oshibe H. and Sasage R. and Suzuki K.},
  title = {Feature Map Visualization for Explaining Black-Box Deep Learning Model in Liver Tumor Segmentation},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100907907,
  author = {Yang Y. and Jin Z. and Nakatani F. and Miyake M. and Suzuki K.},
  title = {Development of a small-data deep-learning model based on an MTANN for soft tissue sarcoma diagnosis in MRI},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100907905,
  author = {Yang S. and Xiang M. and Qu T. and Jin Z. and Suzuki K.},
  title = {Reconstruction of Fast Acquisition MRI with Under-sampled K-space Data by Using Massive-Training Artificial Neural Networks (MTANNs)},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100907904,
  author = {Yang Y. and Jin Z. and Suzuki K.},
  title = {Federated learning - Game changing AI concept to train AI without sending patient data out from hospitals},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100902505,
  author = {Sirisanwannakul K. and Siripool N. and Suzuki K. and Kongprawechnon W. and Karnjana J.},
  title = {Detection and Correction of Defective Relative Humidity Data Collected from the Greenhouse Environment Using Nested Kalman Filters with Standard Deviation Analysis},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100907099,
  author = {Kenji Suzuki},
  title = {ROC-Score-Based Ensemble Training for Multiple Deep Learning Modules in Classification between Polyps and Non-Polyps in CT Colonography},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100904973,
  author = {Ze Jin and Maolin Pang and Yuqiao Yang and Fahad Parvez Mahdi and Tianyi Qu and Ren Sasage and Kenji Suzuki},
  title = {Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models},
  booktitle = {Lecture notes in computer science, LNCS},
  year = 2023,
}

@inproceedings{CTT100907112,
  author = {Kenji Suzuki},
  title = {Small-data AI and Its Applications to Diagnostic Aid and Virtual AI Imaging},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100907110,
  author = {Kenji Suzuki},
  title = {Small-Data Deep Learning for Computer-Aided Diagnosis for Rare Diseases},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100898547,
  author = {Pang M. and Jin Z. and Qu T. and Mahdi F. P. and Sasage R. and Suzuki K.},
  title = {Functional Model Visualization for Explaining Massive-Training Artificial Neural Network for Liver Tumor Segmentation},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100891312,
  author = {Yang S. and Xiang M. and Qu T. and Jin Z. and Suzuki K.},
  title = {Under-sampled Image Reconstruction in Fast Acquisition MRI with Massive-Training Artificial Neural Networks (MTANNs) Deep Learning Approach},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100891310,
  author = {Deng Z. and Jin Z. and Suzuki K.},
  title = {Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100891311,
  author = {Yang Y. and Jin Z. and Nakatani F. and Miyake M. and Suzuki K.},
  title = {AI-aided Diagnosis of Rare Soft-Tissue Sarcoma by Means of Massive-Training Artificial Neural Network (MTANN)},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100887968,
  author = {Kenji Suzuki},
  title = {AI-aided Diagnosis and Virtual AI Imaging with Small-Data Deep Learning},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100891309,
  author = {Xu L. and Mahdi F. P. and Jin Z. and Noguchi Y. and Murata M. and Suzuki K.},
  title = {Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks},
  booktitle = {Proceedings of SPIE},
  year = 2023,
}

@inproceedings{CTT100887260,
  author = {Kenji Suzuki},
  title = {Deep Residual Massive-Training Artificial Neural Network for Image Denoising},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100887257,
  author = {Zhipeng Deng and Ze Jin and Kenji Suzuki},
  title = {Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means  of Multi-scale-Kernel Massive-Training Artificial Neural Network (MTANN)  for Generating Virtual High-Dose Images},
  booktitle = {},
  year = 2023,
}

@inproceedings{CTT100882452,
  author = {Kenji Suzuki},
  title = {AI Doctor for Diagnostic Aid and Medical AI Imaging with Deep Learning},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100885699,
  author = {Kenji Suzuki},
  title = {国プロによる医療AIの先端開発の現況と展望},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100882450,
  author = {Kenji Suzuki},
  title = {AI Doctor and Medical AI Imaging with Deep Learning},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100882451,
  author = {Kenji Suzuki},
  title = {Small Data Deep Learning in AI-aided Medical Image Diagnosis},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100881599,
  author = {Zhipeng Deng and Yuqiao Yang and Ze Jin and Kenji Suzuki},
  title = {FedAL: An Federated Active Learning Framework for Efficient Labeling in Skin Lesion Analysis},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100887656,
  author = {Jingyi You and Dongyuan Li and Manabu Okumura and Kenji Suzuki},
  title = {JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation,},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100885470,
  author = {Kenji Suzuki},
  title = {AI-aided Diagnosis and Virtual AI Imaging in Medicine},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100882448,
  author = {Kenji Suzuki},
  title = {AI Doctor and Smart Medical Imaging with Deep Learning},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100885471,
  author = {Kenji Suzuki},
  title = {AI-aided Diagnostic Systems and Virtual AI Imaging in Medicine},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100881601,
  author = {Yuqiao Yang and Ze Jin and Kenji Suzuki},
  title = {Federated Tumor Segmentation with Patch-wise Deep Learning Model},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100875035,
  author = {小林正貴 and 松岡陽 and 上原翔 and 田中一 and 吉田宗一郎 and 横山みなと and 河野友亮 and 川野圭三 and 酒井康之 and 藤原基裕 and 川村尚子 and 奥野哲男 and Kenji Suzuki and Itsuo kumazawa and 藤井靖久},
  title = {ディープラーニングを用いたKUBにおける上部尿路結石自動診断技術の開発},
  booktitle = {日本泌尿器科学会東部総会プログラム・抄録集},
  year = 2022,
}

@inproceedings{CTT100879346,
  author = {Kenji Suzuki},
  title = {Small data deep learning for lung cancer detection and diagnosis in CT},
  booktitle = {Proceedings of IEEE International Conference on Big Data Computing Service and Machine Learning Applications (IEEE BigDataService 2022)},
  year = 2022,
}

@inproceedings{CTT100879354,
  author = {Yuqiao Yang and Ze Jin and Kenji Suzuki},
  title = {Federated Learning Coupled with Massive-Training Artificial Neural Networks in Tumor Segmentation in CT Images.},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100879345,
  author = {Wang L. and Qi J. and Cheng J. and Kenji Suzuki},
  title = {Action unit detection by exploiting spatial-temporal and label-wise attention with transformer},
  booktitle = {Proceedings of 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW 2022)},
  year = 2022,
}

@inproceedings{CTT100879348,
  author = {Kenji Suzuki},
  title = {Generating simulated higher-dose CT images from ultra-low-dose CT images by means of massive-training artificial neural networks},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100885702,
  author = {Kenji Suzuki},
  title = {米国におけるAI画像診断},
  booktitle = {},
  year = 2022,
}

@inproceedings{CTT100875045,
  author = {Kenji Suzuki},
  title = {AI Doctor and Smart Medical Imaging with Deep Learning},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100862832,
  author = {Sato M. and Yang Y. and Jin Z. and Suzuki K.},
  title = {Segmentation of Liver Tumor in Hepatic CT by Using MTANN Deep Learning with Small Training Dataset Size},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100862831,
  author = {Onai Y. and Mahdi F. P. and Jin Z. and Suzuki K.},
  title = {Virtual High-Radiation-Dose Image Generation from Low-Radiation-Dose Image in Digital Breast Tomosynthesis (DBT) Using Massive-Training Artificial Neural Network (MTANN)},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100862830,
  author = {Xiang M. and Jin Z. and Suzuki K.},
  title = {Massive-Training Artificial Neural Network (MTANN) for Image Quality Improving in Fast-Acquisition MRI of the Knee},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100875046,
  author = {Kenji Suzuki},
  title = {Artificial Intelligence for Medical Image Processing and Diagnosis},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100875044,
  author = {Kenji Suzuki},
  title = {Intelligent Medical Image Processing and Analysis with Deep Learning},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100868795,
  author = {Wang L. and Wang S. and Qi J. and Suzuki K.},
  title = {A Multi-task Mean Teacher for Semi-supervised Facial Affective Behavior Analysis},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100875043,
  author = {Kenji Suzuki},
  title = {Artificial intelligence for medical image diagnosis},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100875042,
  author = {Kenji Suzuki},
  title = {Artificial Intelligence in Computer-aided Diagnosis and Medical Image Processing},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100862828,
  author = {Sato M. and Jin Z. and Suzuki K.},
  title = {Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100862829,
  author = {Xiang M. and Jin Z. and Suzuki K.},
  title = {Massive-Training Artificial Neural Network (MTANN) with Special Kernel for Artifact Reduction In Fast-Acquisition MRI of the Knee},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100875038,
  author = {Kenji Suzuki},
  title = {Artificial Intelligence for Virtual Medical Imaging for Accurate Diagnosis},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100845008,
  author = {Onai Y. and Jin Z. and Suzuki K.},
  title = {Generation of Virtual High-Radiation-Dose Images from Low-Dose Images in Digital Breast Tomosynthesis (DBT) with Massive-Training Artificial Neural Network (MTANN)},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100845006,
  author = {Xiang M. and Jin Z. and Suzuki K.},
  title = {Fast Acquisition MRI of the Knee by Means of Massive-Training Artificial Neural Network (MTANN) with Special Kernel},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100845007,
  author = {Sato M. and Jin Z. and Suzuki K.},
  title = {Small-Training-Set Deep Learning for Semantic Segmentation of Liver Tumors in Contrast-enhanced Hepatic CT},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100885695,
  author = {Kenji Suzuki},
  title = {ディープラーニングによる検診のためのAI支援画像診断と医用画像処理},
  booktitle = {},
  year = 2021,
}

@inproceedings{CTT100828643,
  author = {Taiguang Yuan and Ze Jin and Yukiko Tokuda and Yasuto Naoi and Noriyuki Tomiyama and Takashi Obi and Kenji Suzuki},
  title = {Prediction of Genetically-Evaluated Tumour Responses to Chemotherapy from Breast MRI using Machine Learning with Model Selection},
  booktitle = {Journal of Physics: Conference Series},
  year = 2020,
}

@inproceedings{CTT100828642,
  author = {Taiguang Yuan and Ze Jin and Tokuda Y. and Naoi Y. and Tomiyama N. and Kenji Suzuki},
  title = {MR Imaging biomarkers for Prediction of Genetic Assessment for Breast Cancer Recurrence: A Radiogenomics Study},
  booktitle = {IEICE Technical Report},
  year = 2020,
}

@inproceedings{CTT100828644,
  author = {Taiguang Yuan and Ze Jin and Tokuda Y. and Naoi Y. and Tomiyama N. and Kenji Suzuki},
  title = {Discovery of MR Imaging Biomarkers for Prediction of Pathological Complete Responses to Chemotherapy for Breast Cancer},
  booktitle = {Proceeding of 4th International Symposium on Biomedical Engineering (ISBE2019)},
  year = 2019,
}

@inproceedings{CTT100828645,
  author = {Yuchen Wang and Ze Jin and Tokuda Y. and Naoi Y. and Tomiyama N. and Kenji Suzuki},
  title = {Neural Network Convolution Deep Learning for Semantic Segmentation of Breast Tumor in MRI},
  booktitle = {Proceeding of 4th International Symposium on Biomedical Engineering (ISBE2019)},
  year = 2019,
}

@inproceedings{CTT100844632,
  author = {Zhao Y. and Zarshenas A. and Higaki T. and Awai K. and Suzuki K.},
  title = {Radiation dose reduction in chest CT at a micro-dose (mD) level by noise simulation and noise-specific anatomic neural network convolution (NNC) deep-learning (DL) with K-means clustering},
  booktitle = {},
  year = 2019,
}

@inproceedings{CTT100828647,
  author = {Taiguang Yuan and Ze Jin and Tokuda, Y. and Naoi, Y. and Tomiyama, N. and Kenji Suzuki},
  title = {Development of deep-learning segmentation for breast cancer in mr images based on neural network convolution},
  booktitle = {Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition},
  year = 2019,
}

@inproceedings{CTT100828646,
  author = {Zarshenas, A. and Kenji Suzuki},
  title = {Deep Neural Network Convolution for Natural Image Denoising},
  booktitle = {Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018},
  year = 2019,
}

@inproceedings{CTT100828649,
  author = {Zarshenas, A. and Liu, J. and Forti, P. and Kenji Suzuki},
  title = {Mixture of Deep-Learning Experts for Separation of Bones from Soft Tissue in Chest Radiographs},
  booktitle = {Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018},
  year = 2019,
}

@inproceedings{CTT100806380,
  author = {Hiroki Imai and Tomoya Nakamura and Kenji Suzuki and Masahiro Yamaguchi and Tokiya Abe and Akinori Hashiguchi and Michiie Sakamoto},
  title = {H&E染色組織標本に対するブロックベース深層学習による肝細胞癌識別手法の検討},
  booktitle = {第18回デジタルパソロジー研究会総会 抄録集},
  year = 2019,
}

@inproceedings{CTT100828648,
  author = {Martinez-Garcia, M. and Zhang, Y. and Kenji Suzuki and Zhang, Y.},
  title = {Measuring system entropy with a deep recurrent neural network model},
  booktitle = {IEEE International Conference on Industrial Informatics (INDIN)},
  year = 2019,
}

@inproceedings{CTT100844657,
  author = {Zhao Y. and Zarshenas A. and Higaki T. and Awai K. and Suzuki K.},
  title = {Effect of Simulated Micro-Dose (mD) CT on the Performance of Neural Network Convolution (NNC) Deep-Learning (DL) In Radiation Dose Reduction in Chest CT},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100844656,
  author = {Zarshenas A. and Wang, Y. and Liu J. and Dai Z. and Suzuki K.},
  title = {Virtual Dual-Energy (VDE) Imaging: Separation of Bones from Soft Tissue in Chest Radiographs (CXRs) by Means of Deep Residual Learning (DRL)},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100844654,
  author = {Liu. J and Qadir S. and Zarshenas A. and Yang L. and Fajardo L. L. and Suzuki K.},
  title = {Blinded Observer Study: “Virtual” Full-Dose (VFD) Digital Breast Tomosynthesis (DBT) Images Derived from Reduced-Dose Acquisitions versus Clinical Full-Dose DBT Images},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100844653,
  author = {Zarshenas A. and Zhao Y. and Liu J. and Higaki T. and Awai K. and Suzuki K.},
  title = {“Virtual” High-Dose Technology: Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC)},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100844658,
  author = {Kido S. and Murakami K. and Hashimoto N. and Hirano Y. and Mabu S. and Suzuki K.},
  title = {Deep Learning Techniques for Automated Segmentation of Diffuse Lung Disease Opacities on CT Images},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100844652,
  author = {Liu J. and Zarshenas A. and Qadir S. and Yang L. and Fajardo L. L. and Suzuki K.},
  title = {“Virtual” Full-Dose (VFD) Technology: Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Neural Network Convolution (NNC) Deep Learning},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100844659,
  author = {Liu J. and Zarshenas A. and Qadir S. and Yang L. and Fajardo L. L. and Suzuki K.},
  title = {Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Neural Network Convolution (NNC) Deep Learning},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100844650,
  author = {Liu J. and Zarshenas A. and Qadir S. and Yang L. and Fajardo L. L. and Suzuki K.},
  title = {A Two-Stage Deep-Learning Scheme for Reducing Radiation Dose in Digital Breast Tomosynthesis (DBT)},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100844649,
  author = {Suzuki K. and Zarshenas A. and Liu J. and Zhao Y. and Luo Y.},
  title = {Historical Overview of Machine Learning (ML) and Deep Learning in Medical Image Analysis - What are the Sources of the Power of Deep Learning?},
  booktitle = {},
  year = 2018,
}

@inproceedings{CTT100829304,
  author = {Zarshenas A. and Zhao Y. and Liu J. and Higaki T. and Fukumoto W. and Awai K. and Suzuki K},
  title = {Deep 3D Anatomy-Specific Neural Network Convolution for Radiation Dose Reduction in Chest CT at a Micro-Dose Level},
  booktitle = {Proc. International Conference on IEEE Engineering in Medicine & Biology Society (IEEE EMBC)},
  year = 2018,
}

@inproceedings{CTT100829308,
  author = {Liu J. and Zarshenas A. and Wei Z. and Yang L. and Fajardo L. and Suzuki K.},
  title = {Sequential Neural Network Convolution (NNC) Deep Learning in Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT): Preliminary Results},
  booktitle = {Proc. International Conference on IEEE Engineering in Medicine & Biology Society (IEEE EMBC)},
  year = 2018,
}

@inproceedings{CTT100829313,
  author = {Liu J. and Zarshenas A. and Qadir S and Yang L. and Fajardo L. and Suzuki K.},
  title = {Radiation dose reduction in digital breast tomosynthesis (DBT) by means of neural network convolution (NNC) deep learning},
  booktitle = {Proc.SPIE},
  year = 2018,
}

@inproceedings{CTT100828717,
  author = {Liu J. and Zarshenas A. and Qadir A. and Wei Z. and Yang L. and Fajardo L. and Kenji Suzuki},
  title = {Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2018,
}

@inproceedings{CTT100828716,
  author = {Hashimoto N. and Kenji Suzuki and Liu J. and Hirano Y. and MacMahon H. and Kido S.},
  title = {Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2018,
}

@inproceedings{CTT100828727,
  author = {Makkinejad N. and Tajbakhsh N. and Zarshenas A. and Khokhar A. and Kenji Suzuki},
  title = {Reduction in training time of a deep learning model in detection of lesions in CT},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2018,
}

@inproceedings{CTT100844668,
  author = {Tajbakhsh N. and Zarshenas A. and Liu J. and Suzuki K.},
  title = {How Deep Should We Go with Deep Learning in Medical Image Analysis?},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844678,
  author = {Tajbakhsh N. and Zarshenas A. and Liu J. and Suzuki K.},
  title = {Investigating the Depth of Convolutional Neural Networks (CNNs) in Computer-aided Detection and Classification of Focal Lesions: Lung Nodules in Thoracic CT and Colorectal Polyps in CT Colonography},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844677,
  author = {Tajbakhsh N. and Zarshenas A. and Liu J. and Suzuki K.},
  title = {Two Deep-Learning Models for Lung Nodule Detection and Classification in CT: Convolutional Neural Network (CNN) vs Neural Network Convolution (NNC)},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844676,
  author = {Zarshenas A. and Zhao Y. and Liu J. and Higaki T. and Awai K. and Suzuki K.},
  title = {Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC)},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844675,
  author = {Ito T. and Hirano Y. and Suzuki K. and Kido S.},
  title = {First-Reader Computerized System for Distinction between Malignant and Benign Nodules on Thoracic CT Images By Means of End-To-End Deep Learning: Convolutional Neural Network (CNN) and Neural Network Convolution (NNC) Approaches},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844674,
  author = {Fukumoto W. and Suzuki K. and Higaki T. and Zhao Y. and Zarshenas A. and Awai K.},
  title = {Detection of Solid Pulmonary Nodules in Micro-Dose CT (mDCT) with “Virtual” Higher-Dose (vHD) CT Technology: An Observer Performance Study},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844673,
  author = {Zarshenas A. and Patel J. V. and Liu J. and Forti P. and Suzuki K.},
  title = {Virtual Dual-Energy (VDE) Imaging: Separation of Bones from Soft Tissue in Chest Radiographs (CXRs) by Means of Anatomy-Specific (AS) Orientation-Frequency-Specific (OFS) Deep Neural Network Convolution (NNC)},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844672,
  author = {Zarshenas A. and Liu J. and Suzuki K.},
  title = {Highly Efficient Biomarker Selection (BS) Based on Novel Binary Coordinate Accent (BCA) for Machine Learning with a Large Dataset in Radiomics},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844671,
  author = {Liu J. and Zarshenas A. and Wei Z. and Yang L. and Fajardo L. L. and Suzuki K.},
  title = {Computer-Based Interactive Demonstration and Comparative Study: Virtual Full-Dose (VFD) Digital Breast Tomosynthesis (DBT) Images Derived From Reduced-Dose Acquisitions versus Clinical Full-Dose DBT Images},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844670,
  author = {Suzuki K. and Zarshenas A. and Liu J. and Zhao Y. and Luo Y.},
  title = {What Was Changed in Machine Learning (ML) in Medical Image Analysis After the Introduction of Deep Learning?},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844669,
  author = {Liu J. and Zarshenas A. and Wei Z. and Yang L. and Fajardo L. L. and Suzuki K.},
  title = {Virtual High-Dose (VHD) Technology: Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT) by Means of Supervised Deep-Learning Image Processing (DLIP)},
  booktitle = {},
  year = 2017,
}

@inproceedings{CTT100844680,
  author = {Liu J. and Zarshenas A. and Fajardo L. and Suzuki K.},
  title = {Radiation dose reduction in digital breast tomosynthesis (DBT) by means of patch-based trainable nonlinear regression (PTNR)},
  booktitle = {},
  year = 2016,
}

@inproceedings{CTT100844679,
  author = {Tajbakhsh N. and Liu J. and Fukumoto W. and Higaki T. and Awai K. and Suzuki K.},
  title = {Conversion of ultra-low-dose (ULD) to “virtual” high-dose (VHD) thin-slice chest CT by means of 3D supervised volume-based artificial neural network (ANN)},
  booktitle = {},
  year = 2016,
}

@inproceedings{CTT100829324,
  author = {Suzuki Kenji and Zarshenas M. and Liu J. and Fan Y. and Makkinejad N. and Forti P. and Dachman A.},
  title = {Development of Computer-Aided Diagnostic (CADx) System for Distinguishing Neoplastic from Nonneoplastic Lesions in CT Colonography (CTC): Toward CTC beyond Detection},
  booktitle = {Proc. IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2015)},
  year = 2015,
}

@inproceedings{CTT100829332,
  author = {Kenji Suzuki},
  title = {Patch-based Machine Learning and Deep Learning in Medical Image Processing and Diagnosis},
  booktitle = {Proc. 4th International Conference on Informatics, Electronics & Vision (ICIEV 2015)},
  year = 2015,
}

@inproceedings{CTT100829364,
  author = {Kenji Suzuki},
  title = {Mining of Training Samples for Multiple Learning Machines in Computer-Aided Detection of Lesions in CT Images},
  booktitle = {2014 IEEE International Conference on Data Mining Workshop},
  year = 2014,
}

@inproceedings{CTT100829342,
  author = {Cao, G. and Liu, Y. and Kenji Suzuki},
  title = {A new method for false-positive reduction in detection of lung nodules in CT images},
  booktitle = {International Conference on Digital Signal Processing, DSP},
  year = 2014,
}

@inproceedings{CTT100829344,
  author = {Tanaka R. and Sanada S. and Oda M. and Mitsutaka, M. and Kenji Suzuki and Sakuta K. and Kawashima H.},
  title = {Quantitative analysis of rib movement based on dynamic chest bone images: Preliminary results},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2014,
}

@inproceedings{CTT100829368,
  author = {Kenji Suzuki and Huynh, H.T. and Liu, Y. and Calabrese, D. and Zhou, K. and Oto, A. and Hori, M.},
  title = {Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring},
  booktitle = {Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS},
  year = 2013,
}

@inproceedings{CTT100829369,
  author = {Kenji Suzuki and Hori, M. and Iinuma, G. and Dachman, A.H.},
  title = {Effect of CADe on radiologists' performance in detection of "difficult" polyps in CT colonography},
  booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
  year = 2013,
}

@inproceedings{CTT100829367,
  author = {He L. and Chao Y. and Yang Y. and Li S. and Kenji Suzuki},
  title = {A Novel Two-Scan Connected-Component Labeling Algorithm},
  booktitle = {IAENG Transactions on Engineering Technologies: Special Volume of the World Congress on Engineering 2012},
  year = 2013,
}

@inproceedings{CTT100829408,
  author = {Chen, S. and Kenji Suzuki},
  title = {Bone suppression in chest radiographs by means of anatomically specific multiple massive-training ANNs},
  booktitle = {Proceedings - International Conference on Pattern Recognition},
  year = 2012,
}

@inproceedings{CTT100829406,
  author = {He, L. and Chao, Y. and Kenji Suzuki},
  title = {A new algorithm for labeling connected-components and calculating the Euler number, connected-component number, and hole number},
  booktitle = {Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)},
  year = 2012,
}

@inproceedings{CTT100829404,
  author = {Yu, Q. and He, L. and Nakamura, T. and Kenji Suzuki and Chao, Y.},
  title = {A multilayered partitioning image registration method for chest-radiograph temporal subtraction},
  booktitle = {Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012},
  year = 2012,
}

@inproceedings{CTT100829405,
  author = {Yu, Q. and He, L. and Chao, Y. and Kenji Suzuki and Nakamura, T.},
  title = {A mutual-information-based image registration method for chest-radiograph temporal subtraction},
  booktitle = {Proceedings - 2012 International Conference on Computer Science and Information Processing, CSIP 2012},
  year = 2012,
}

@inproceedings{CTT100829407,
  author = {He, L. and Chao, Y. and Kenji Suzuki},
  title = {A new two-scan algorithm for labeling connected components in binary images},
  booktitle = {Lecture Notes in Engineering and Computer Science},
  year = 2012,
}

@inproceedings{CTT100829409,
  author = {Jian-Wu Xu and Kenji Suzuki},
  title = {Computer-aided detection of polyps in CT colonography by means of AdaBoost},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2012,
}

@inproceedings{CTT100829410,
  author = {Jian-Wu Xu and Kenji Suzuki},
  title = {Maximal partial AUC feature selection in computer-aided detection of hepatocellular carcinoma in contrast-enhanced hepatic CT},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2012,
}

@inproceedings{CTT100829429,
  author = {He L. and Chao Y. and Kenji Suzuki},
  title = {A Labeling Algorithm for Connected Components and Holes},
  booktitle = {Proceeding of 2011 International Conference on Opto-Electronics Engineering and Information Science (ICOEIS2011)},
  year = 2011,
}

@inproceedings{CTT100829430,
  author = {Chao Y. and He L. and Kenji Suzuki},
  title = {A new connected-component labeling algorithm},
  booktitle = {proceeding of 2011 International Conference on Opto-Electronics Engineering and Information Science (ICOEIS2011)},
  year = 2011,
}

@inproceedings{CTT100829435,
  author = {Xu J. and Kenji Suzuki},
  title = {False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography: A Massive-Training Support Vector Regression Approach},
  booktitle = {Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities},
  year = 2011,
}

@inproceedings{CTT100829432,
  author = {Jian-Wu Xu and Kenji Suzuki},
  title = {Computer-Aided Detection of Polyps in CT Colonography with Pixel-Based Machine Learning Techniques},
  booktitle = {Machine Learning in Medical Imaging},
  year = 2011,
}

@inproceedings{CTT100829428,
  author = {Kenji Suzuki},
  title = {Computer-aided diagnosis - research, development, commercialization and clinical implementation},
  booktitle = {Proceedings of Workshop on Fusion of Information Technology and Medicine},
  year = 2011,
}

@inproceedings{CTT100829431,
  author = {Ferraro, F.O. and Kawaler, E. and Kenji Suzuki},
  title = {A spinning tangent based CAD system for detection of flat lesions in CT colonography},
  booktitle = {Proceedings - International Symposium on Biomedical Imaging},
  year = 2011,
}

@inproceedings{CTT100829433,
  author = {Jian-Wu Xu and Kenji Suzuki},
  title = {Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection},
  booktitle = {Proceedings - 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year = 2011,
}

@inproceedings{CTT100829438,
  author = {Kenji Suzuki and Armato III S.G. and Engelmann R. and Caligiuri P. and MacMahon H.},
  title = {Temporal subtraction of "virtual dual-energy" chest radiographs for improved conspicuity of growing cancers and other pathologic changes},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2011,
}

@inproceedings{CTT100829436,
  author = {Chen, S. and Kenji Suzuki and MacMahon, H.},
  title = {Improved computerized detection of lung nodules in chest radiographs by means of "virtual dual-energy" radiography},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2011,
}

@inproceedings{CTT100829434,
  author = {Xu, J.-W. and Kenji Suzuki and Hori, M. and Oto, A. and Baron, R.},
  title = {Computer-aided detection of hepatocellular carcinoma in multiphase contrast-enhanced hepatic CT: A preliminary study},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2011,
}

@inproceedings{CTT100829437,
  author = {Kenji Suzuki},
  title = {Recent Advances in Reduction of False Positives in Computerized Detection of Polyps in CT Colonography},
  booktitle = {Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities (Lecture Notes in Computer Science)},
  year = 2011,
}

@inproceedings{CTT100829444,
  author = {Kenji Suzuki and Xu J. and Zhang J. and Sheu I.},
  title = {Principal-Component Massive-Training Machine-Learning Regression for False-Positive Reduction in Computer-Aided Detection of Polyps in CT Colonography},
  booktitle = {Machine Learning in Medical Imaging (Lecture Notes in Computer Science)},
  year = 2010,
}

@inproceedings{CTT100829441,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Tang, W. and Shi, Z. and Nakamura, T.},
  title = {An efficient run-based connected-component labeling algorithm for three-dimensional binary images},
  booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
  year = 2010,
}

@inproceedings{CTT100829440,
  author = {He, L. and Inaba, T. and Kenji Suzuki and Murakami, K. and Chao, Y. and Tanga, W. and Shie, Z. and Nakamura, T.},
  title = {A global registration method for temporal subtraction of chest radiographs},
  booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
  year = 2010,
}

@inproceedings{CTT100829439,
  author = {Shi Z. and Kenji Suzuki and He L.},
  title = {A filtering method for enhancing dot-like regions in chest x-rays},
  booktitle = {Proc. the 8th International Bioinformatics Workshop (IBW2010)},
  year = 2010,
}

@inproceedings{CTT100829442,
  author = {Kenji Suzuki and Epstein, M.L. and Xu, J. and Obara, P. and Rockey, D.C. and Dachman, A.H.},
  title = {Automated scheme for measuring polyp volume in CT colonography using Hessian matrix-based shape extraction and 3D volume growing},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2010,
}

@inproceedings{CTT100829443,
  author = {Kenji Suzuki and Epstein, M.L. and Kohlbrenner, R. and Obajuluwa, A. and Xu, J. and Hori, M. and Baron, R.},
  title = {CT liver volumetry using geodesic active contour segmentation with a level-set algorithm},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2010,
}

@inproceedings{CTT100829450,
  author = {Shi Z. and Kenji Suzuki and He L.},
  title = {Reducing FPs in nodule detection using neural networks ensemble},
  booktitle = {2nd International Symposium on Information Science and Engineering, ISISE 2009},
  year = 2009,
}

@inproceedings{CTT100829448,
  author = {He, L. and Chao, Y. and Kenji Suzuki and Itoh, H.},
  title = {A fast first-scan algorithm for label-equivalence-based connected-component labeling},
  booktitle = {Proceedings - International Conference on Image Processing, ICIP},
  year = 2009,
}

@inproceedings{CTT100829445,
  author = {Suzuki Kenji and Hori M and McFarland E. G. and Friedman A. C. and Iinuma G. and Rockey D. C. and Dachman, A. H.},
  title = {Observer performance study with CAD in detection of polyps in false-negative cases: Preliminary results},
  booktitle = {Proc. International Symposium on Virtual Colonoscopy (ISVC)},
  year = 2009,
}

@inproceedings{CTT100829451,
  author = {Lifeng He and Yuyan Chao and Kenji Suzuki and Hidenori Itoh},
  title = {A Run-Based One-Scan Labeling Algorithm},
  booktitle = {Image Analysis and Recognition},
  year = 2009,
}

@inproceedings{CTT100829446,
  author = {Rockey, D.C. and Kenji Suzuki and Sheu, I. and Dachman, A.H.},
  title = {A CAD utilizing 3D massive-training ANNs for detection of flat lesions in CT colonography: Preliminary results},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2009,
}

@inproceedings{CTT100829850,
  author = {Kenji Suzuki},
  title = {Segmentation of lesions with improved specificity in computer-aided diagnosis using a massive-training artificial neural network (MTANN)},
  booktitle = {Proceedings - 7th International Conference on Machine Learning and Applications, ICMLA 2008},
  year = 2008,
}

@inproceedings{CTT100829851,
  author = {Kenji Suzuki and Shi Z. and Zhang J.},
  title = {Supervised enhancement of lung nodules by use of a massive-training artificial neural network (MTANN) in computer-aided diagnosis (CAD)},
  booktitle = {Proceedings - International Conference on Pattern Recognition},
  year = 2008,
}

@inproceedings{CTT100829843,
  author = {Kenji Suzuki and Epstein M. L. and Kuo J. and Obara P. R. and Rockey D. C. and Dachman A. H.},
  title = {CT colonography polyp volumetrics: Fully automated scheme for measuring polyp volume using 3D volume-growing and sub-voxel refinement techniques},
  booktitle = {Proc. International Symposium on Virtual Colonoscopy (ISVC)},
  year = 2008,
}

@inproceedings{CTT100829848,
  author = {Kenji Suzuki and Sheu I. and Rockey D. C. and Dachman A. H.},
  title = {Detection of flat lesions: Performance of a CAD utilizing 3D massive-training ANNs on a cohort from a large multicenter clinical trial},
  booktitle = {Proc. International Symposium on Virtual Colonoscopy (ISVC)},
  year = 2008,
}

@inproceedings{CTT100829844,
  author = {Inaba T. and He L. and Chao Y. and Kenji Suzuki and Murakami K.},
  title = {A genetic-algorithm-based method for temporal subtraction in chest radiography},
  booktitle = {Proceeding of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS)},
  year = 2008,
}

@inproceedings{CTT100829845,
  author = {He L. and Chao Y. and Kenji Suzuki and Nakamura T. and Itoh H.},
  title = {A survey of labeling algorithms},
  booktitle = {Proceeding of Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS & ISIS)},
  year = 2008,
}

@inproceedings{CTT100829849,
  author = {Kenji Suzuki and Epstein, M. and Sheu, I. and Kohlbrenner, R. and Rockey, D.C. and Dachman, A.H.},
  title = {Massive-training artificial neural networks for CAD for detection of polyps in CT colonography: False-negative cases in a large multicenter clinical trial},
  booktitle = {2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI},
  year = 2008,
}

@inproceedings{CTT100829847,
  author = {Rodgers, Z.B. and King, M. and Giger, M.L. and Vannier, M. and Bardo, D.M.E. and Lan, L. and Kenji Suzuki},
  title = {Computerized assessment of coronary calcified plaques in CT images of a dynamic cardiac phantom},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2008,
}

@inproceedings{CTT100829846,
  author = {Kenji Suzuki and Sheu, I. and Epstein, M. and Kohlbrenner, R. and Lostumbo, A. and Rockey, D.C. and Dachman, A.H.},
  title = {An MTANN CAD for detection of polyps in false-negative CT colonography cases in a large multicenter clinical trial: Preliminary results},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2008,
}

@inproceedings{CTT100829852,
  author = {Lostumbo A. and Tsai J. and Kenji Suzuki and Dachman A. H.},
  title = {Comparison of 2D and 3D views for measurement and conspicuity of flat lesions in CT colonography},
  booktitle = {Proc. International Symposium on Virtual Colonoscopy (ISVC)},
  year = 2007,
}

@inproceedings{CTT100829853,
  author = {Kenji Suzuki and Sheu I. and Epstein M. L. and Verceles J. and Rockey D. C. and Dachman A. H.},
  title = {Performance of CAD based on MTANNs for detection of false-negative polyps in a multicenter clinical trial},
  booktitle = {Proc. International Symposium on Virtual Colonoscopy (ISVC)},
  year = 2007,
}

@inproceedings{CTT100829855,
  author = {He, L. and Chao, Y. and Kenji Suzuki},
  title = {A linear-time two-scan labeling algorithm},
  booktitle = {Proceedings - International Conference on Image Processing, ICIP},
  year = 2007,
}

@inproceedings{CTT100829858,
  author = {King, M. and Giger, M. and Kenji Suzuki and Pan, X.},
  title = {Image quality evaluation of motion-contaminated calcified plaques in cardiac CT},
  booktitle = {IEEE Nuclear Science Symposium Conference Record},
  year = 2007,
}

@inproceedings{CTT100829854,
  author = {He L. and Chao Y. and Kenji Suzuki},
  title = {A Run-Based Two-Scan Labeling Algorithm},
  booktitle = {Image Analysis and Recognition},
  year = 2007,
}

@inproceedings{CTT100828565,
  author = {Muramatsu C. and Li Q. and Schmidt R.A. and Shiraishi J. and Kenji Suzuki and Newstead G.M. and Doi K.},
  title = {Determination of subjective similarity for pairs of masses and pairs of clustered microcalcifications on mammograms: Comparison of similarity ranking scores and absolute similarity ratings},
  booktitle = {Medical Physics},
  year = 2007,
}

@inproceedings{CTT100829856,
  author = {King, M. and Giger, M. and Kenji Suzuki and Pan, X.},
  title = {Computer-aided assessment of cardiac computed tomographic images},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2007,
}

@inproceedings{CTT100829857,
  author = {Muramatsu, C. and Li, Q. and Schmidt, R.A. and Shiraishi, J. and Kenji Suzuki and Newstead, G.M. and Doi, K.},
  title = {Determination of subjective and objective similarity for pairs of masses on mammograms for selection of similar images},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2007,
}

@inproceedings{CTT100829859,
  author = {Kenji Suzuki and Lifeng, H. and Khankari, S. and Liang, G. and Verceles, J. and Dachman, A.H.},
  title = {Mixture of expert artificial neural networks with ensemble training for reduction of various sources of false positives in CAD},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2007,
}

@inproceedings{CTT100829860,
  author = {King, M. and Pan, X. and Giger, M. and Kenji Suzuki},
  title = {Motion compensated reconstructions of calcified coronary plaques in cardiac CT},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2007,
}

@inproceedings{CTT100829861,
  author = {Hui Li and Maryellen L. Giger and Yading Yuan and Li Lan and Kenji Suzuki and Andrew Jamieson and Laura Yarusso and Robert M. Nishikawa and Charlene Sennett},
  title = {Comparison of Computerized Image Analyses for Digitized Screen-Film Mammograms and Full-Field Digital Mammography Images},
  booktitle = {Digital Mammography},
  year = 2006,
}

@inproceedings{CTT100829862,
  author = {Kenji Suzuki and Li F. and Li Q. and MacMahon H. and Doi K.},
  title = {Comparison between 2D and 3D massive-training ANNs (MTANNs) in CAD for lung nodule detection on MDCT},
  booktitle = {International Journal of Computer Assisted Radiology and Surgery},
  year = 2006,
}

@inproceedings{CTT100829863,
  author = {Yuan, Y. and Giger, M.L. and Kenji Suzuki and Li, H. and Jamieson, A.R.},
  title = {A two-stage method for lesion segmentation on digital mammograms},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2006,
}

@inproceedings{CTT100829864,
  author = {Kenji Suzuki and Li, F. and Aoyama, M. and Shiraishi, J. and Abe, H. and Li, Q. and Engelmann, R. and Sone, S. and MacMahon, H. and Doi, K.},
  title = {Effect of CAD on radiologists' responses in distinction between malignant and benign pulmonary nodules on high-resolution CT},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2005,
}

@inproceedings{CTT100829865,
  author = {Kenji Suzuki and Shiraishi, J. and Li, F. and Abe, H. and MacMahon, H. and Doi, K.},
  title = {Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs},
  booktitle = {Progress in Biomedical Optics and Imaging - Proceedings of SPIE},
  year = 2005,
}

@inproceedings{CTT100829868,
  author = {Li F. and Li Q. and Aoyama M. and Shiraishi J. and Abe H. and Kenji Suzuki and Engelmann R. and Sone S. and MacMahon H. and Doi K.},
  title = {Usefulness of computerized scheme for differentiating benign from malignant lung nodules on high-resolution CT},
  booktitle = {Proceedings of the 18th International Congress and Exhibition},
  year = 2004,
}

@inproceedings{CTT100829867,
  author = {Kenji Suzuki and Doi K.},
  title = {Characteristics of a massive training artificial neural network in the distinction between lung nodules and vessels in CT images},
  booktitle = {Proceedings of the 18th International Congress and Exhibition},
  year = 2004,
}

@inproceedings{CTT100829869,
  author = {Kenji Suzuki and Abe H. and Li F. and Doi K.},
  title = {Suppression of the contrast of ribs in chest radiographs by means of massive training artificial neural network},
  booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
  year = 2004,
}

@inproceedings{CTT100829870,
  author = {Kenji Suzuki and Armato III, S.G. and Li, F. and Sone, S. and Doi, K.},
  title = {Effect of a small number of training cases on the performance of massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT},
  booktitle = {Proceedings of SPIE - The International Society for Optical Engineering},
  year = 2003,
}

@inproceedings{CTT100829885,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {Simple unit-pruning with gain-changing training},
  booktitle = {Neural Networks for Signal Processing - Proceedings of the IEEE Workshop},
  year = 2001,
}

@inproceedings{CTT100829880,
  author = {Ninagawa K. and Umeyama T. and Kenji Suzuki and Sugie N.},
  title = {Voice separation in the frequency domain using image processing},
  booktitle = {Int. Conf. Software Engineering, Artificial Intelligence, Networking & Parallel/Distributed Computing (SNPD)},
  year = 2001,
}

@inproceedings{CTT100829886,
  author = {Ninagawa K. and Umeyama T. and Kenji Suzuki and Sugie N.},
  title = {Sound Source Separation in the Frequency Domain with Image Processing},
  booktitle = {Human-Computer Interaction INTERACT '01: IFIP TC13 International               Conference on Human-Computer Interaction, Tokyo, Japan, July 9-13,               2001},
  year = 2001,
}

@inproceedings{CTT100829884,
  author = {Kenji Suzuki and Horiba I. and SugieN.},
  title = {Neural Edge Detector - A Good Mimic of Conventional One Yet Robuster against Noise},
  booktitle = {Bio-Inspired Applications of Connectionism (Lecture Notes in Computer Science)},
  year = 2001,
}

@inproceedings{CTT100829887,
  author = {Kenji Suzuki and Horiba I. and Sugie N. and Nanki M.},
  title = {Computer-aided diagnosis system for coronary artery stenosis using a neural network},
  booktitle = {Proc.SPIE},
  year = 2001,
}

@inproceedings{CTT100829888,
  author = {Kenji Suzuki and Horiba I. and Sugie N. and Nanki M.},
  title = {Extraction of the contours of left ventricular cavity according with those traced by medical doctors from left ventriculograms using a neural edge detector},
  booktitle = {Proc.SPIE},
  year = 2001,
}

@inproceedings{CTT100829889,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {Edge detection from noisy images using a neural edge detector},
  booktitle = {Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop},
  year = 2000,
}

@inproceedings{CTT100829890,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {Training under achievement quotient criterion},
  booktitle = {Neural Networks for Signal Processing X. Proceedings of the 2000 IEEE Signal Processing Society Workshop (Cat. No.00TH8501)},
  year = 2000,
}

@inproceedings{CTT100829895,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {Signal-preserving training for neural networks for signal processing},
  booktitle = {Proc. IEEE Int. Symp. Intelligent Signal Processing and Communication Systems (ISPACS)},
  year = 2000,
}

@inproceedings{CTT100829894,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {Neural filter with selection of input features and its application to image quality improvement of medical image sequences},
  booktitle = {Proc. IEEE Int. Symp. Intelligent Signal Processing and Communication Systems (ISPACS)},
  year = 2000,
}

@inproceedings{CTT100829891,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {Fast connected-component labeling based on sequential local operations in the course of forward raster scan followed by backward raster scan},
  booktitle = {Proceedings 15th International Conference on Pattern Recognition (ICPR 2000)},
  year = 2000,
}

@inproceedings{CTT100829892,
  author = {Kenji Suzuki and Horiba I. and SugieN.},
  title = {An Approach to Synthesize Filters with Reduced Structures Using a Neural Network},
  booktitle = {Quantum Information II},
  year = 2000,
}

@inproceedings{CTT100829896,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {Efficient approximation of a neural filter for quantum noise removal in X-ray images},
  booktitle = {Neural Networks for Signal Processing IX: Proceedings of the 1999 IEEE Signal Processing Society Workshop (Cat. No.98TH8468)},
  year = 1999,
}

@inproceedings{CTT100829901,
  author = {Kenji Suzuki and Horiba I. and Sugie N. and Nanki M.},
  title = {Noise reduction of medical x-ray image sequences using a neural filter with spatiotemporal inputs},
  booktitle = {Proc. Int. Symp. Noise Reduction for Imaging and Communication Systems (ISNIC)},
  year = 1998,
}

@inproceedings{CTT100829900,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {A recurrent neural filter for reducing noise in medical x-ray image sequences},
  booktitle = {Proc. Int. Conf. Neural Information Processing (ICONIP)},
  year = 1998,
}

@inproceedings{CTT100829898,
  author = {Kenji Suzuki and Horiba I. and Sugie N.},
  title = {Designing the optimal structure of a neural filter},
  booktitle = {Neural Networks for Signal Processing VIII. Proceedings of the 1998 IEEE Signal Processing Society Workshop (Cat. No.98TH8378)},
  year = 1998,
}

@inproceedings{CTT100829902,
  author = {Kenji Suzuki and Horiba I. and Sugie N. and Ikeda S},
  title = {Improvement of image quality of x-ray fluoroscopy using spatiotemporal neural filter which learns noise reduction, edge enhancement and motion compensation},
  booktitle = {Proc. Int. Conf. Signal Processing Applications and Technology (ICSPAT)},
  year = 1996,
}

@misc{CTT100885839,
  author = {Wan Azani Mustafa and Kenji Suzuki},
  title = {Special Issue: Editorial Board Members’ Collection Series in “Computer-Aided Diagnosis and Prognosis of Diseases"},
  year = 2023,
}

@misc{CTT100885838,
  author = {Giacinto Barresi and Sabrina Cipolletta and Andreas Triantafyllidis and Kenji Suzuki},
  title = {Special issue: Intelligent Systems for One Digital Health},
  year = 2023,
}

@misc{CTT100885837,
  author = {Kenji Suzuki and José Machado},
  title = {Special Issue: Feature Papers for AI},
  year = 2023,
}

@misc{CTT100871067,
  author = {Kenji Suzuki},
  title = {スモールデータ深層学習による医用画像診断支援},
  year = 2022,
}

@misc{CTT100885836,
  author = {Kenji Suzuki},
  title = {Special Issue: Frontiers in Artificial Intelligence},
  year = 2020,
}

@misc{CTT100828620,
  author = {Kenji Suzuki},
  title = {深層学習による医用画像処理と診断支援},
  year = 2020,
}

@misc{CTT100885621,
  author = {Kenji Suzuki},
  title = {AI: A New Open Access Journal for Artificial Intelligence},
  year = 2020,
}

@misc{CTT100844665,
  author = {Onai Y. and Jin Z. and Obi T. and Suzuki K.},
  title = {Neural Network Convolution (NNC) Deep Learning for Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT)},
  year = 2020,
}

@misc{CTT100828333,
  author = {Kenji Suzuki},
  title = {医用画像システム},
  year = 2020,
}

@misc{CTT100828318,
  author = {Kenji Suzuki},
  title = {人工知能（AI）最新動向 – 画像処理},
  year = 2019,
}

@misc{CTT100828348,
  author = {Kenji Suzuki},
  title = {大腸CTにおけるAI支援画像診断},
  year = 2019,
}

@misc{CTT100885835,
  author = {Luc Bidaut and Kenji Suzuki},
  title = {Special Issue: Computer-Aided Diagnosis and Characterization of Diseases},
  year = 2018,
}

@misc{CTT100845103,
  author = {Kenji Suzuki},
  title = {画像診断領域における深層学習の最先端技術とAI支援画像診断},
  year = 2018,
}

@misc{CTT100829299,
  author = {Kenji Suzuki},
  title = {ディープラーニングによる画像処理・認識技術の最前線},
  year = 2018,
}

@misc{CTT100885549,
  author = {Kenji Suzuki},
  title = {Deep Learning Applications, Research and Development in Medical Imaging: Introduction},
  year = 2017,
}

@misc{CTT100885596,
  author = {El-Baz A. and Gimel'farb G. and Kenji Suzuki},
  title = {Machine Learning Applications in Medical Image Analysis},
  year = 2017,
}

@misc{CTT100885597,
  author = {Kenji Suzuki and Zhou L. and Wang Q.},
  title = {Machine learning in medical imaging},
  year = 2017,
}

@misc{CTT100885595,
  author = {Shen D. and Wu G. and Zhang D. and Kenji Suzuki and Wang F. and Yan P.},
  title = {Machine learning in medical imaging},
  year = 2015,
}

@misc{CTT100885593,
  author = {Kenji Suzuki and Yan P. and Wang F. and Shen D.},
  title = {Machine Learning in Medical Imaging},
  year = 2012,
}

@misc{CTT100885825,
  author = {Kenji Suzuki and Pingkun Yan and Fei Wang and Dinggang Shen},
  title = {Special issue: Machine Learning in Medical Imaging},
  year = 2011,
}

@misc{CTT100845100,
  author = {何 立風 and 巣 宇燕 and Kenji Suzuki and 中村剛士},
  title = {同等ラベル解析に基づく三次元2値画像における高速ラベル付けアルゴリズム},
  year = 2010,
}

@misc{CTT100885824,
  author = {Kenji Suzuki},
  title = {Special issue: Machine Learning for Medical Imaging},
  year = 2009,
}

@misc{CTT100845099,
  author = {何 立風 and 巣 宇燕 and Kenji Suzuki and 中村剛士 and 伊藤英則},
  title = {2値画像における高速2回走査ラベル付けアルゴリズム},
  year = 2008,
}

@misc{CTT100885586,
  author = {Kenji Suzuki},
  title = {Massive training artificial neural network (MTANN)を利用したCADの胸部診断領域への応用},
  year = 2007,
}

@misc{CTT100829866,
  author = {Wu K. and Otoo E. and Kenji Suzuki},
  title = {Two Strategies to speed up connected component labeling algorithms},
  year = 2005,
}

@misc{CTT100885579,
  author = {Kenji Suzuki},
  title = {Massive Training Artificial Neural Network (MTANN): CADのための正常・異常陰影を学ぶ汎用性の高いパターン処理},
  year = 2004,
}

@misc{CTT100885581,
  author = {Kenji Suzuki},
  title = {ニューラルネットワークに関する文献紹介},
  year = 2003,
}

@misc{CTT100845097,
  author = {Kenji Suzuki and 堀場勇夫},
  title = {アナログ予測ニューラルネットを用いた狭窄率認識},
  year = 1995,
}

@misc{CTT100844914,
  author = {Kenji Suzuki},
  title = {医用X線像のニューラル画像処理の研究},
  year = ,
}

@misc{CTT100903893,
  author = {Kenji Suzuki},
  title = {推定装置、推定方法及びプログラム},
  howpublished = {PublishedPatent},
  year = 2023,
  month  = {},
  note   = {PCT/JP2022/044260(2022/11/30), WO 2023/100953(2023/06/08)}
}


@misc{CTT100884605,
  author = {Kenji Suzuki and Ze Jin},
  title = {画像処理装置、画像処理方法及びプログラムが格納された非一時的なコンピュータ可読媒体},
  howpublished = {PublishedPatent},
  year = 2022,
  month  = {},
  note   = {PCT/JP2022/008813(2022/03/02), WO 2022/186263(2022/09/09)}
}


@misc{CTT100842102,
  author = {Kenji Suzuki and TAKASHI OBI and HIROYUKI SUZUKI},
  title = {染色画像推定器学習装置、画像処理装置、染色画像推定器学習方法、画像処理方法、染色画像推定器学習プログラム、及び、画像処理プログラム},
  howpublished = {PublishedPatent},
  year = 2020,
  month  = {},
  note   = {特願2019-041046(2019/03/06), 特開2020-144012(2020/09/10)}
}




@phdthesis{CTT100844914,
  author = {Kenji Suzuki},
  title = {医用X線像のニューラル画像処理の研究},
  school = {},
  year = ,
}