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ORCIDRyuji Hamamoto
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2020 – today
- 2024
[j6]Kazuma Kobayashi
, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto:
Can physician judgment enhance model trustworthiness? A case study on predicting pathological lymph nodes in rectal cancer. Artif. Intell. Medicine 154: 102929 (2024)- [j5]Satoshi Takahashi, Yusuke Sakaguchi, Nobuji Kouno, Ken Takasawa, Kenichi Ishizu, Yu Akagi, Rina Aoyama, Naoki Teraya, Amina Bolatkan, Norio Shinkai, Hidenori Machino, Kazuma Kobayashi, Ken Asada, Masaaki Komatsu, Syuzo Kaneko, Masashi Sugiyama, Ryuji Hamamoto:
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review. J. Medical Syst. 48(1): 84 (2024) - [j4]Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto:
Sketch-based semantic retrieval of medical images. Medical Image Anal. 92: 103060 (2024) - 2023
- [j3]Ryuji Hamamoto, Ken Takasawa, Norio Shinkai, Hidenori Machino, Nobuji Kouno, Ken Asada, Masaaki Komatsu, Syuzo Kaneko:
Analysis of super-enhancer using machine learning and its application to medical biology. Briefings Bioinform. 24(3) (2023) - [c1]Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto:
Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing. MICCAI (2) 2023: 403-413 - [i5]Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Takaaki Mizuno, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Yasuyuki Takamizawa, Yukihiro Yoshida, Satoshi Nakamura, Nobuji Kouno, Amina Bolatkan, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto:
Sketch-based Medical Image Retrieval. CoRR abs/2303.03633 (2023) - [i4]Kazuma Kobayashi, Yasuyuki Takamizawa, Mototaka Miyake, Sono Ito, Lin Gu, Tatsuya Nakatsuka, Yu Akagi, Tatsuya Harada, Yukihide Kanemitsu, Ryuji Hamamoto:
Can Physician Judgment Enhance Model Trustworthiness? A Case Study on Predicting Pathological Lymph Nodes in Rectal Cancer. CoRR abs/2312.09529 (2023) - 2022
- [j2]Ryuji Hamamoto, Ken Takasawa, Hidenori Machino, Kazuma Kobayashi, Satoshi Takahashi, Amina Bolatkan, Norio Shinkai, Akira Sakai, Rina Aoyama, Masayoshi Yamada, Ken Asada, Masaaki Komatsu, Koji Okamoto, Hirokazu Kameoka, Syuzo Kaneko:
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine. Briefings Bioinform. 23(4) (2022) - 2021
- [j1]Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto:
Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging. Medical Image Anal. 74: 102227 (2021) - [i3]Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto:
Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval. CoRR abs/2103.12328 (2021) - 2020
- [i2]Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Amina Bolatkan, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Naoki Mihara, Jun Itami, Tatsuya Harada, Ryuji Hamamoto:
Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks. CoRR abs/2005.12573 (2020) - [i1]Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto:
Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval. CoRR abs/2011.06224 (2020)
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