Noriaki Hashimoto

30 papers A* 3B 1Journal 20Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Safe Distributionally Robust Feature Selection under Covariate Shift. CoRR Hiroyuki Hanada, Satoshi Akahane, Noriaki Hashimoto, Shion Takeno, Ichiro Takeuchi
2025	A*	`conf`	Distributionally Robust Active Learning for Gaussian Process Regression. ICML Shion Takeno, Yoshito Okura, Yu Inatsu, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	J	`jnl`	Distributionally Robust Active Learning for Gaussian Process Regression. CoRR Shion Takeno, Yoshito Okura, Yu Inatsu, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	J	`jnl`	Distributionally Robust Coreset Selection under Covariate Shift. CoRR Tomonari Tanaka, Hiroyuki Hanada, Hanting Yang, Tatsuya Aoyama, Yu Inatsu, Satoshi Akahane, Yoshito Okura, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	J	`jnl`	Distributionally Robust Coreset Selection under Covariate Shift. Trans. Mach. Learn. Res. Tomonari Tanaka, Hiroyuki Hanada, Hanting Yang, Tatsuya Aoyama, Yu Inatsu, Satoshi Akahane, Yoshito Okura, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	—	`conf`	Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. MICCAI (12) Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma
2025	J	`jnl`	Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. CoRR Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma
2025	J	`jnl`	Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation. CoRR Tatsuya Aoyama, Hanting Yang, Hiroyuki Hanada, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	J	`jnl`	Multi-Scale Representation of Follicular Lymphoma Pathology Images in a Single Hyperbolic Space. CoRR Kei Taguchi, Kazumasa Ohara, Tatsuya Yokota, Hiroaki Miyoshi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani
2024	J	`jnl`	Distributionally Robust Safe Sample Screening. CoRR Hiroyuki Hanada, Tatsuya Aoyama, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Shion Takeno, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2024	J	`jnl`	Distributionally Robust Safe Screening. CoRR Hiroyuki Hanada, Satoshi Akahane, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2024	—	`conf`	Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma. VISIGRAPP (2): VISAPP Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani
2023	J	`jnl`	Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. Medical Image Anal. Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Ken Tanaka, Yoshino Kawaguchi, Shigeo Nakamura, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
2023	J	`jnl`	Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. CoRR Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
2023	J	`jnl`	Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. Neural Comput. Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
2023	—	`conf`	Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
2023	J	`jnl`	Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. CoRR Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
2022	J	`jnl`	Subtype classification of malignant lymphoma using immunohistochemical staining pattern. Int. J. Comput. Assist. Radiol. Surg. Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani
2022	J	`jnl`	Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records. CoRR Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
2021	J	`jnl`	Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. CoRR Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
2020	A*	`conf`	Computing Valid P-Values for Image Segmentation by Selective Inference. CVPR Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
2020	A*	`conf`	Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. CVPR Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
2020	J	`jnl`	Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. CoRR Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
2019	J	`jnl`	Computing Valid p-values for Image Segmentation by Selective Inference. CoRR Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
2018	—	`conf`	Deep neural network convolution (NNC) for three-class classification of diffuse lung disease opacities in high-resolution CT (HRCT): Consolidation, ground-glass opacity (GGO), and normal opacity. Computer-Aided Diagnosis Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido
2018	—	`conf`	Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Computer-Aided Diagnosis Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
2017	J	`jnl`	Bioisostere Identification by Determining the Amino Acid Binding Preferences of Common Chemical Fragments. J. Chem. Inf. Model. Tomohiro Sato, Noriaki Hashimoto, Teruki Honma
2017	J	`jnl`	Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. Int. J. Comput. Assist. Radiol. Surg. Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
2010	—	`conf`	Color Enhancement of Multispectral Images for Effective Visualization. CGIV/MCS Noriaki Hashimoto, Yuri Murakami, Masahiro Yamaguchi, Takashi Obi, Nagaaki Ohyama
2008	B	`conf`	Hierarchical encryption using short encryption keys for scalable access control of JPEG 2000 coded images. ICIP Noriaki Hashimoto, Shoko Imaizumi, Masaaki Fujiyoshi, Hitoshi Kiya