A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. - Holger R. Roth; Chen Shen 002; Hirohisa Oda; Takaaki Sugino; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (MICCAI (4), 2018)

On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks. - Chen Shen 002; Holger R. Roth; Hirohisa Oda; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (CoRR, 2018)

Deep learning and its application to medical image segmentation. - Holger R. Roth; Chen Shen 002; Hirohisa Oda; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (CoRR, 2018)

Improving V-Nets for multi-class abdominal organ segmentation. - Chen Shen 002; Fausto Milletari; Holger R. Roth; Hirohisa Oda; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (Image Processing, 2019)

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset. - Yuichiro Hayashi; Chen Shen 002; Holger R. Roth; Masahiro Oda 001; Kazunari Misawa; Masahiro Jinzaki; Masahiro Hashimoto; Kanako K. Kumamaru; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2020)

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. - Pochuan Wang; Chen Shen 002; Holger R. Roth; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Kazunari Misawa; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Weichung Wang; Kensaku Mori (DART/DCL@MICCAI, 2020)

Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization. - Chen Shen 002; Chenglong Wang; Holger R. Roth; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (Image Processing, 2020)

Attention-Guided Pancreatic Duct Segmentation from Abdominal CT Volumes. - Chen Shen 002; Holger R. Roth; Yuichiro Hayashi; Masahiro Oda 001; Tadaaki Miyamoto; Gen Sato; Kensaku Mori (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. - Chen Shen 002; Pochuan Wang; Holger R. Roth; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Weichung Wang; Chiou-Shann Fuh; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Kensaku Mori (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks. - Yuichiro Hayashi; Masahiro Oda 001; Chen Shen 002; Masahiro Hashimoto; Yoshito Otake; Toshiaki Akashi; Kensaku Mori (Computer-Aided Diagnosis, 2021)

Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. - Chen Shen 002; Pochuan Wang; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Chiou-Shann Fuh; Kensaku Mori; Weichung Wang; Holger R. Roth (DeCaF/FAIR@MICCAI, 2022)

Effective hyperparameter optimization with proxy data for multi-organ segmentation. - Chen Shen 002; Holger R. Roth; Vishwesh Nath; Yuichiro Hayashi; Masahiro Oda 001; Kazunari Misawa; Kensaku Mori (Image Processing, 2022)

A cascaded fully convolutional network framework for dilated pancreatic duct segmentation. - Chen Shen 002; Holger R. Roth; Yuichiro Hayashi; Masahiro Oda 001; Tadaaki Miyamoto; Gen Sato; Kensaku Mori (Int. J. Comput. Assist. Radiol. Surg., 2022)

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. - Pochuan Wang; Chen Shen 002; Weichung Wang; Masahiro Oda 001; Chiou-Shann Fuh; Kensaku Mori; Holger R. Roth (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Federated Learning with Partially Labeled Data: A Conditional Distillation Approach. - Pochuan Wang; Chen Shen 002; Masahiro Oda 001; Chiou-Shann Fuh; Kensaku Mori; Weichung Wang; Holger R. Roth (CoRR, 2024)

Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. - Chen Shen 002; Holger R. Roth; Yuichiro Hayashi; Masahiro Oda 001; Gen Sato; Tadaaki Miyamoto; Daniel Rueckert; Kensaku Mori (Int. J. Comput. Assist. Radiol. Surg., 2024)