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ORCIDRyuichiro Hataya
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Journal Articles
- 2024
[j3]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)- 2021
- [j2]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) - 2019
- [j1]Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga:
USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. Neurocomputing 365: 31-43 (2019)
Conference and Workshop Papers
- 2024
- [c9]Han Bao, Ryuichiro Hataya, Ryo Karakida:
Self-attention Networks Localize When QK-eigenspectrum Concentrates. ICML 2024 - 2023
- [c8]Ryuichiro Hataya, Makoto Yamada:
Nyström Method for Accurate and Scalable Implicit Differentiation. AISTATS 2023: 4643-4654 - [c7]Ryuichiro Hataya, Han Bao, Hiromi Arai:
Will Large-scale Generative Models Corrupt Future Datasets? ICCV 2023: 20498-20508 - [c6]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 - 2022
- [c5]Ryuichiro Hataya, Hideki Nakayama:
DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks. IJCNN 2022: 1-8 - [c4]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Meta Approach to Data Augmentation Optimization. WACV 2022: 3535-3544 - 2021
- [c3]Taiga Kashima, Ryuichiro Hataya, Hideki Nakayama:
Visualizing Association in Exemplar-Based Classification. ICASSP 2021: 1780-1784 - 2020
- [c2]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation. ECCV (25) 2020: 1-16 - 2019
- [c1]Ryuichiro Hataya, Hideki Nakayama:
LOL: Learning To Optimize Loss Switching Under Label Noise. ICIP 2019: 3621-3625
Parts in Books or Collections
- 2020
- [p1]Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri:
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study. Neural Approaches to Dynamics of Signal Exchanges 2020: 269-280
Informal and Other Publications
- 2024
- [i18]Han Bao, Ryuichiro Hataya, Ryo Karakida:
Self-attention Networks Localize When QK-eigenspectrum Concentrates. CoRR abs/2402.02098 (2024) - [i17]Ryuichiro Hataya, Yoshinobu Kawahara:
Glocal Hypergradient Estimation with Koopman Operator. CoRR abs/2402.02741 (2024) - [i16]Yuka Hashimoto, Ryuichiro Hataya:
Quantum Circuit C*-algebra Net. CoRR abs/2404.06218 (2024) - [i15]Ryuichiro Hataya, Kota Matsui, Masaaki Imaizumi:
Automatic Domain Adaptation by Transformers in In-Context Learning. CoRR abs/2405.16819 (2024) - 2023
- [i14]Ryuichiro Hataya, Yuka Hashimoto:
Noncommutative C*-algebra Net: Learning Neural Networks with Powerful Product Structure in C*-algebra. CoRR abs/2302.01191 (2023) - [i13]Ryuichiro Hataya, Makoto Yamada:
Nystrom Method for Accurate and Scalable Implicit Differentiation. CoRR abs/2302.09726 (2023) - [i12]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) - [i11]Leonardo Placidi, Ryuichiro Hataya, Toshio Mori, Koki Aoyama, Hayata Morisaki, Kosuke Mitarai, Keisuke Fujii:
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era. CoRR abs/2306.16627 (2023) - [i10]Hiroki Naganuma, Ryuichiro Hataya:
An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration. CoRR abs/2307.08187 (2023) - 2022
- [i9]Ryuichiro Hataya, Han Bao, Hiromi Arai:
Will Large-scale Generative Models Corrupt Future Datasets? CoRR abs/2211.08095 (2022) - 2021
- [i8]Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe:
Graph Energy-based Model for Substructure Preserving Molecular Design. CoRR abs/2102.04600 (2021) - [i7]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
- [i6]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) - [i5]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Meta Approach to Data Augmentation Optimization. CoRR abs/2006.07965 (2020) - [i4]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) - 2019
- [i3]Leonardo Rundo, Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Carmelo Militello, Claudio Ferretti, Marco S. Nobile, Andrea Tangherloni, Maria Carla Gilardi, Salvatore Vitabile, Hideki Nakayama, Giancarlo Mauri:
CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. CoRR abs/1903.12571 (2019) - [i2]Leonardo Rundo, Changhee Han, Yudai Nagano, Jin Zhang, Ryuichiro Hataya, Carmelo Militello, Andrea Tangherloni, Marco S. Nobile, Claudio Ferretti, Daniela Besozzi, Maria Carla Gilardi, Salvatore Vitabile, Giancarlo Mauri, Hideki Nakayama, Paolo Cazzaniga:
USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. CoRR abs/1904.08254 (2019) - [i1]Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama:
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation. CoRR abs/1911.06987 (2019)
Coauthor Index
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