Ryuichiro Hataya

According to our database1, Ryuichiro Hataya authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Sketch-based semantic retrieval of medical images.
Medical Image Anal., February, 2024

Glocal Hypergradient Estimation with Koopman Operator.
CoRR, 2024

Self-attention Networks Localize When QK-eigenspectrum Concentrates.
CoRR, 2024

2023
An Empirical Investigation of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration.
CoRR, 2023

MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era.
CoRR, 2023

Sketch-based Medical Image Retrieval.
CoRR, 2023

Noncommutative C<sup>*</sup>-algebra Net: Learning Neural Networks with Powerful Product Structure in C<sup>*</sup>-algebra.
CoRR, 2023

Towards AI-Driven Radiology Education: A Self-supervised Segmentation-Based Framework for High-Precision Medical Image Editing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Will Large-scale Generative Models Corrupt Future Datasets?
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Nyström Method for Accurate and Scalable Implicit Differentiation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Meta Approach to Data Augmentation Optimization.
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.
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.
Medical Image Anal., 2021

Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval.
CoRR, 2021

Graph Energy-based Model for Substructure Preserving Molecular Design.
CoRR, 2021

Visualizing Association in Exemplar-Based Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study.
Proceedings of the Neural Approaches to Dynamics of Signal Exchanges, 2020

Decomposing Normal and Abnormal Features of Medical Images for Content-based Image Retrieval.
CoRR, 2020

Unsupervised Brain Abnormality Detection Using High Fidelity Image Reconstruction Networks.
CoRR, 2020

Faster AutoAugment: Learning Augmentation Strategies Using Backpropagation.
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.
Neurocomputing, 2019

CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study.
CoRR, 2019

LOL: Learning To Optimize Loss Switching Under Label Noise.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019


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