@book{CTT100925780,
  author = {Rahmaniar W and Deng Z. and Yang Y. and Jin Z. and Suzuki K.},
  title = {Decentralized Diagnostics: The Role of Federated Learning in Modern Medical Imaging},
  publisher = {Springer},
  year = 2024,
}

@inproceedings{CTT100919885,
  author = {Qu T. and Yang Y. and Jin Z. and Suzuki K.},
  title = {Annotation-free AI learning of lung nodule segmentation in CT using weakly-supervised Massive -training Artificial neural networks},
  booktitle = {},
  year = 2024,
}

@inproceedings{CTT100927537,
  author = {Dai P. and Ou Y. and Yang Y. and Liu D. and Hashimoto M. and Jinzaki M. and Miyake M. and Suzuki K.},
  title = {SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography},
  booktitle = {Lecture notes in computer science, LNCS},
  year = 2024,
}

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