Ryuichiro Hataya

According to our database, Ryuichiro Hataya authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Sketch-based semantic retrieval of medical images.

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

Medical Image Anal., February, 2024

Automatic Domain Adaptation by Transformers in In-Context Learning.

Ryuichiro Hataya, Kota Matsui, Masaaki Imaizumi

CoRR, 2024

Quantum Circuit C^*-algebra Net.

Yuka Hashimoto, Ryuichiro Hataya

CoRR, 2024

Glocal Hypergradient Estimation with Koopman Operator.

Ryuichiro Hataya, Yoshinobu Kawahara

CoRR, 2024

Self-attention Networks Localize When QK-eigenspectrum Concentrates.

Han Bao, Ryuichiro Hataya, Ryo Karakida

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration.

Hiroki Naganuma, Ryuichiro Hataya

CoRR, 2023

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era.

Leonardo Placidi, Ryuichiro Hataya, Toshio Mori, Koki Aoyama, Hayata Morisaki, Kosuke Mitarai, Keisuke Fujii

CoRR, 2023

Sketch-based Medical Image Retrieval.

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

CoRR, 2023

Noncommutative C^*-algebra Net: Learning Neural Networks with Powerful Product Structure in C^*-algebra.

Ryuichiro Hataya, Yuka Hashimoto

CoRR, 2023

Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing.

Kazuma Kobayashi, Lin Gu, Ryuichiro Hataya, Mototaka Miyake, Yasuyuki Takamizawa, Sono Ito, Hirokazu Watanabe, Yukihiro Yoshida, Hiroki Yoshimura, Tatsuya Harada, Ryuji Hamamoto

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Will Large-scale Generative Models Corrupt Future Datasets?

Ryuichiro Hataya, Han Bao, Hiromi Arai

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Nyström Method for Accurate and Scalable Implicit Differentiation.

Ryuichiro Hataya, Makoto Yamada

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Meta Approach to Data Augmentation Optimization.

Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

DJMix: Unsupervised Task-agnostic Image Augmentation for Improving Robustness of Convolutional Neural Networks.

Ryuichiro Hataya, Hideki Nakayama

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Decomposing normal and abnormal features of medical images for content-based image retrieval of glioma imaging.

Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto

Medical Image Anal., 2021

Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval.

Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Mototaka Miyake, Masamichi Takahashi, Akiko Nakagawa, Tatsuya Harada, Ryuji Hamamoto

CoRR, 2021

Graph Energy-based Model for Substructure Preserving Molecular Design.

Ryuichiro Hataya, Hideki Nakayama, Kazuki Yoshizoe

CoRR, 2021

Visualizing Association in Exemplar-Based Classification.

Taiga Kashima, Ryuichiro Hataya, Hideki Nakayama

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study.

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

Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval.

Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Tatsuya Harada, Ryuji Hamamoto

CoRR, 2020

Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks.

Kazuma Kobayashi, Ryuichiro Hataya, Yusuke Kurose, Amina Bolatkan, Mototaka Miyake, Hirokazu Watanabe, Masamichi Takahashi, Naoki Mihara, Jun Itami, Tatsuya Harada, Ryuji Hamamoto

CoRR, 2020

Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation.

Ryuichiro Hataya, Jan Zdenek, Kazuki Yoshizoe, Hideki Nakayama

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets.

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

Neurocomputing, 2019

CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study.

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

CoRR, 2019

LOL: Learning To Optimize Loss Switching Under Label Noise.

Ryuichiro Hataya, Hideki Nakayama

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019