"Kodera S.,Mohammad C.S.,Jin Z.,Watadani T.,Abe O.,Suzuki K.","Super-efficient AI for lung nodule classification in CT based on small-data massive-training artificial neural network (MTANN)","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024)",,,,,,2024,Dec.
"Deng Z.,Jin Z.,Suzuki K.","Dual-domain MTANN for virtual high-dose imaging in digital breast tomosynthesis (DBT)","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024)",,,,,,2024,Dec.
"Yuan T.,Jin Z.,Tokuda Y.,Tomiyama N.,Naoi Y.,Suzuki K.","Forecast of genetic assessments for tumor response to chemotherapy only with pretherapeutic breast MRI by means of radiogenomic imaging biomarker scheme","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024)",,,,,,2024,Dec.
"Zhang C.,Jin Z.,Hori M.,Sofue K.,Murakami T.,Suzuki K.","AI-aided diagnostic system providing explanations in LI-RADS language in liver cancer diagnosis using MRI","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024)",,,,,,2024,Dec.
"Qu T.,Yang Y.,Jin Z.,Suzuki K.","Annotation-free AI learning of lung nodule segmentation in CT using weakly-supervised Massive -training Artificial neural networks","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA 2024)",,,,,,2024,Dec.
"Rahmaniar W,Deng Z.,Yang Y.,Jin Z.,Suzuki K.","Decentralized Diagnostics: The Role of Federated Learning in Modern Medical Imaging",,"Advances in Intelligent Disease Diagnosis and Treatment","Springer",,,"pp. 223-239",2024,Sept.
"Yuqiao Yang,Ze Jin,Fumihiko Nakatani,Mototaka Miyake,Kenji Suzuki","“Small-data” Patch-wise Multi-dimensional Output Deep-learning for Rare Cancer Diagnosis in MRI under Limited Sample-size Situation","21st IEEE International Symposium on Biomedical Imaging (ISBI 2024)",,,,,,2024,May
"染谷健太郎,小寺昇冴,押部弘子,??,鈴木賢治","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","メディカルイメージング連合フォーラム2024",,,,,,2024,Mar.
"井原拓哉,脇智彦,藤田浩二,Li Chenggeer,Ze Jin,押部弘子,鈴木賢治","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","2023年度生体医歯工学共同研究拠点成果報告会",,,,,,2024,Mar.
"Kodera S.,Rahmaniar W.,Oshibe H.,Jin Z.,Watadani T.,Abe O.,Suzuki K.","Super-Efficient Lung Nodule Classification Using Massive-Training Artificial Neural Network (MTANN) Compact Model on LIDC-IDRI Database","2024 6th International Conference on Image, Video and Signal Processing (IVSP 2024)",,,,,,2024,Mar.
"Yang Y.,Jin Z.,Suzuki K.","Federated learning - Game changing AI concept to train AI without sending patient data out from hospitals","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)",,,,,,2023,Nov.
"Yang Y.,Jin Z.,Nakatani F.,Miyake M.,Suzuki K.","Development of a small-data deep-learning model based on an MTANN for soft tissue sarcoma diagnosis in MRI","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)",,,,,,2023,Nov.
"Jin Z.,Pang M.,Qu T.,Oshibe H.,Sasage R.,Suzuki K.","Feature Map Visualization for Explaining Black-Box Deep Learning Model in Liver Tumor Segmentation","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)",,,,,,2023,Nov.
"Yang S.,Xiang M.,Qu T.,Jin Z.,Suzuki K.","Reconstruction of Fast Acquisition MRI with Under-sampled K-space Data by Using Massive-Training Artificial Neural Networks (MTANNs)","Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA)",,,,,,2023,Nov.
"Ze Jin,Maolin Pang,Yuqiao Yang,Fahad Parvez Mahdi,Tianyi Qu,Ren Sasage,Kenji Suzuki","Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models","The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023)","Lecture notes in computer science, LNCS",,,,,2023,Oct.
"Deng Z.,Jin Z.,Suzuki K.","Radiation Dose Reduction in Digital Breast Tomosynthesis by MTANN with Multi-scale Kernels","45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023)",,,,,,2023,July
"Yang Y.,Jin Z.,Nakatani F.,Miyake M.,Suzuki K.","AI-aided Diagnosis of Rare Soft-Tissue Sarcoma by Means of Massive-Training Artificial Neural Network (MTANN)","45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023)",,,,,,2023,July
"Yang S.,Xiang M.,Qu T.,Jin Z.,Suzuki K.","Under-sampled Image Reconstruction in Fast Acquisition MRI with Massive-Training Artificial Neural Networks (MTANNs) Deep Learning Approach","45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2023)",,,,,,2023,July
"Pang M.,Jin Z.,Qu T.,Mahdi F. P.,Sasage R.,Suzuki K.","Functional Model Visualization for Explaining Massive-Training Artificial Neural Network for Liver Tumor Segmentation","45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023)",,,,,,2023,July
"Xu L.,Mahdi F. P.,Jin Z.,Noguchi Y.,Murata M.,Suzuki K.","Generating simulated fluorescence images for enhancing proteins from optical microscopy images of cells using massive-training artificial neural networks","SPIE Medical Imaging (SPIE MI)","Proceedings of SPIE",,,,,2023,Apr.
"Zhipeng Deng,Ze Jin,Kenji Suzuki","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","European Congress of Radiology (ECR 2023)",,,,,,2023,Mar.
"Zhipeng Deng,Yuqiao Yang,Ze Jin,Kenji Suzuki","FedAL: An Federated Active Learning Framework for Ef?cient Labeling in Skin Lesion Analysis","International Conference on Systems, Man, and Cybernetics (IEEE SMC 2022)",,,,,,2022,Oct.
"Yuqiao Yang,Ze Jin,Kenji Suzuki","Federated Tumor Segmentation with Patch-wise Deep Learning Model","25th International Conference on Medical Image Computing and Computer Assisted InterventionInternational (MICCAI) Workshop on machine learning in medical imaging (MLMI)",,,,,,2022,Sept.
"Ze Jin,Taiguang Yuan,Yukiko Tokuda,Yasuto Naoi,Noriyuki Tomiyama,Kenji Suzuki","Radiomics: Approach to Precision Medicine",,"Artificial Intelligence and Machine Learning for Healthcare","Springer",,,"pp. 17-29",2022,Sept.
"Yuqiao Yang,Ze Jin,Kenji Suzuki","Federated Learning Coupled with Massive-Training Artificial Neural Networks in Tumor Segmentation in CT Images.","The 44th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2022)",,,,,,2022,July
"Onai Y.,Mahdi F. P.,Jin Z.,Suzuki K.","Virtual High-Radiation-Dose Image Generation from Low-Radiation-Dose Image in Digital Breast Tomosynthesis (DBT) Using Massive-Training Artificial Neural Network (MTANN)","The 6th International Symposium on Biomedical Engineering (ISBE2021)",,,,,,2021,Dec.
"Sato M.,Yang Y.,Jin Z.,Suzuki K.","Segmentation of Liver Tumor in Hepatic CT by Using MTANN Deep Learning with Small Training Dataset Size","The 6th International Symposium on Biomedical Engineering (ISBE2021)",,,,,,2021,Dec.
"Xiang M.,Jin Z.,Suzuki K.","Massive-Training Artificial Neural Network (MTANN) for Image Quality Improving in Fast-Acquisition MRI of the Knee","The 6th International Symposium on Biomedical Engineering (ISBE2021)",,,,,,2021,Dec.
"Xiang M.,Jin Z.,Suzuki K.","Massive-Training Artificial Neural Network (MTANN) with Special Kernel for Artifact Reduction In Fast-Acquisition MRI of the Knee","2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)",,,,,"pp. 1210-1213",2021,May
"Sato M.,Jin Z.,Suzuki K.","Semantic Segmentation of Liver Tumor in Contrast-enhanced Hepatic CT by Using Deep Learning with Hessian-based Enhancer with Small Training Dataset Size","2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)",,,,,"pp. 34-37",2021,May
"Onai Y.,Jin Z.,Suzuki K.","Generation of Virtual High-Radiation-Dose Images from Low-Dose Images in Digital Breast Tomosynthesis (DBT) with Massive-Training Artificial Neural Network (MTANN)","European Congress of Radiology 2021",,,,,,2021,Mar.
"Sato M.,Jin Z.,Suzuki K.","Small-Training-Set Deep Learning for Semantic Segmentation of Liver Tumors in Contrast-enhanced Hepatic CT","European Congress of Radiology 2021",,,,,,2021,Mar.
"Xiang M.,Jin Z.,Suzuki K.","Fast Acquisition MRI of the Knee by Means of Massive-Training Artificial Neural Network (MTANN) with Special Kernel","European Congress of Radiology 2021",,,,,,2021,Mar.
"Taiguang Yuan,Ze Jin,Yukiko Tokuda,Yasuto Naoi,Noriyuki Tomiyama,Takashi Obi,Kenji Suzuki","Prediction of Genetically-Evaluated Tumour Responses to Chemotherapy from Breast MRI using Machine Learning with Model Selection",,"Journal of Physics: Conference Series",,"vol. 1780",,,2020,Oct.
"Onai Y.,Jin Z.,Obi T.,Suzuki K.","Neural Network Convolution (NNC) Deep Learning for Radiation Dose Reduction in Digital Breast Tomosynthesis (DBT)",,"Proceedings of Annual Meeting of Research Center for Biomedical Engineering 2019",,,,,2020,Feb.
"Taiguang Yuan,Ze Jin,Tokuda Y.,Naoi Y.,Tomiyama N.,Kenji Suzuki","MR Imaging biomarkers for Prediction of Genetic Assessment for Breast Cancer Recurrence: A Radiogenomics Study","IEICE Technical Committee on Medical Imaging (MI)","IEICE Technical Report",,,,"pp. 227-230",2020,Jan.
"Taiguang Yuan,Ze Jin,Tokuda Y.,Naoi Y.,Tomiyama N.,Kenji Suzuki","Discovery of MR Imaging Biomarkers for Prediction of Pathological Complete Responses to Chemotherapy for Breast Cancer","The 4th International Symposium on Biomedical Engineering (ISBE2019)","Proceeding of 4th International Symposium on Biomedical Engineering (ISBE2019)",,,,,2019,Nov.
"Yuchen Wang,Ze Jin,Tokuda Y.,Naoi Y.,Tomiyama N.,Kenji Suzuki","Neural Network Convolution Deep Learning for Semantic Segmentation of Breast Tumor in MRI","The 4th International Symposium on Biomedical Engineering (ISBE2019)","Proceeding of 4th International Symposium on Biomedical Engineering (ISBE2019)",,,,"pp. 286-287",2019,Nov.
"Taiguang Yuan,Ze Jin,Tokuda, Y.,Naoi, Y.,Tomiyama, N.,Kenji Suzuki","Development of deep-learning segmentation for breast cancer in mr images based on neural network convolution","2019 8th International Conference on Computing and Pattern Recognition","Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition",,,,"pp. 187-191",2019,Oct.