| Deep learning and its application to medical image segmentation HR Roth, C Shen, H Oda, M Oda, Y Hayashi, K Misawa, K Mori Medical Imaging Technology 36 (2), 63-71, 2018 | 178 | 2018 |
| A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation HR Roth, C Shen, H Oda, T Sugino, M Oda, Y Hayashi, K Misawa, K Mori Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 104 | 2018 |
| On the influence of dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks C Shen, HR Roth, H Oda, M Oda, Y Hayashi, K Misawa, K Mori IEICE Technical Report; IEICE Tech. Rep. 117 (281), 15-20, 2017 | 60 | 2017 |
| Multi-task federated learning for heterogeneous pancreas segmentation C Shen, P Wang, HR Roth, D Yang, D Xu, M Oda, W Wang, CS Fuh, ... Clinical Image-Based Procedures, Distributed and Collaborative Learning …, 2021 | 42 | 2021 |
| Automated pancreas segmentation using multi-institutional collaborative deep learning P Wang, C Shen, HR Roth, D Yang, D Xu, M Oda, K Misawa, PT Chen, ... Domain Adaptation and Representation Transfer, and Distributed and …, 2020 | 28 | 2020 |
| A cascaded fully convolutional network framework for dilated pancreatic duct segmentation C Shen, HR Roth, Y Hayashi, M Oda, T Miyamoto, G Sato, K Mori International Journal of Computer Assisted Radiology and Surgery 17 (2), 343-354, 2022 | 13 | 2022 |
| Joint multi organ and tumor segmentation from partial labels using federated learning C Shen, P Wang, D Yang, D Xu, M Oda, PT Chen, KL Liu, WC Liao, ... International Workshop on Distributed, Collaborative, and Federated Learning …, 2022 | 10 | 2022 |
| Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning P Wang, C Shen, HR Roth, D Yang, D Xu, M Oda, K Misawa, PT Chen, ... Springer, 2020 | 7 | 2020 |
| Condistfl: Conditional distillation for federated learning from partially annotated data P Wang, C Shen, W Wang, M Oda, CS Fuh, K Mori, HR Roth International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
| Attention-guided pancreatic duct segmentation from abdominal CT volumes C Shen, HR Roth, H Yuichiro, M Oda, T Miyamoto, G Sato, K Mori Clinical Image-Based Procedures, Distributed and Collaborative Learning …, 2021 | 6 | 2021 |
| Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization C Shen, C Wang, HR Roth, M Oda, Y Hayashi, K Misawa, K Mori Medical Imaging 2020: Image Processing 11313, 261-267, 2020 | 6 | 2020 |
| Improving V-Nets for multi-class abdominal organ segmentation C Shen, F Milletari, HR Roth, H Oda, M Oda, Y Hayashi, K Misawa, K Mori Medical Imaging 2019: Image Processing 10949, 76-82, 2019 | 6 | 2019 |
| Deep learning and its application to medical image segmentation. 2018 HR Roth, C Shen, H Oda, M Oda, Y Hayashi, K Misawa, K Mori arXiv preprint arXiv:1803.08691, 0 | 5 | |
| Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset Y Hayashi, C Shen, HR Roth, M Oda, K Misawa, M Jinzaki, M Hashimoto, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 913-918, 2020 | 4 | 2020 |
| Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT C Shen, HR Roth, Y Hayashi, M Oda, G Sato, T Miyamoto, D Rueckert, ... International Journal of Computer Assisted Radiology and Surgery 19 (4), 655-664, 2024 | 1 | 2024 |
| Effective hyperparameter optimization with proxy data for multi-organ segmentation C Shen, HR Roth, V Nath, Y Hayashi, M Oda, K Misawa, K Mori Medical Imaging 2022: Image Processing 12032, 200-206, 2022 | 1 | 2022 |
| Unpaired medical image translation between portal-venous phase and non-contrast CT volumes for multi-organ segmentation C Shen, Y Hayashi, M Oda, K Misawa, K Mori International Forum on Medical Imaging in Asia 2021: Processing SPIE 11792 …, 2021 | 1 | 2021 |
| Extraction of lung and lesion regions from COVID-19 CT volumes using 3D fully convolutional networks Y Hayashi, M Oda, C Shen, M Hashimoto, Y Otake, T Akashi, K Mori Medical Imaging 2021: Computer-Aided Diagnosis 11597, 531-536, 2021 | 1 | 2021 |
| On the influence of data augmentation and network structures in bleeding detection from brain CT images using deep learning Z Lu, M Oda, T Zheng, C Shen, T Hu, T Watadani, O Abe, M Hashimoto, ... IEICE Technical Report; IEICE Tech. Rep. 119 (51), 65-70, 2019 | 1 | 2019 |
| Continual pretraining for enhanced multi-organ segmentation from CT images Y Yang, C Shen, Y Tang, HR Roth, M Oda, Y Hayashi, K Misawa, K Mori Medical Imaging 2024: Image Processing 12926, 150-155, 2024 | | 2024 |
Masahiro OdaInformation Technology Center, Nagoya UniversityDirección de correo verificada de is.nagoya-u.ac.jp
