@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,
}

@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{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{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{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{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{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{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{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{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{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{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{CTT100887968,
  author = {Kenji Suzuki},
  title = {AI-aided Diagnosis and Virtual AI Imaging with Small-Data Deep Learning},
  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{CTT100887260,
  author = {Kenji Suzuki},
  title = {Deep Residual Massive-Training Artificial Neural Network for Image Denoising},
  booktitle = {},
  year = 2023,
}

@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{CTT100903893,
  author = {鈴木賢治},
  title = {推定装置、推定方法及びプログラム},
  howpublished = {公開特許},
  year = 2023,
  month  = {},
  note   = {PCT/JP2022/044260(2022/11/30), WO 2023-100953(2023/06/08)}
}