Noriaki Hashimoto

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Mahalanobis Metric

Metric Learning

Multilevel Thresholding

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Int. J. Comput. Assist. Radiol. Surg.

Publications

Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani
Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma. VISIGRAPP (2): VISAPP (2024)
Hiroyuki Hanada, Satoshi Akahane, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi
Distributionally Robust Safe Screening. CoRR (2024)
Hiroyuki Hanada, Tatsuya Aoyama, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Shion Takeno, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi
Distributionally Robust Safe Sample Screening. CoRR (2024)
Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. Neural Comput. 35 (12) (2023)
Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. CoRR (2023)
Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) (2023)
Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. CoRR (2023)
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
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. Medical Image Anal. 85 (2023)
Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani
Subtype classification of malignant lymphoma using immunohistochemical staining pattern. Int. J. Comput. Assist. Radiol. Surg. 17 (7) (2022)
Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records. CoRR (2022)
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
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. CoRR (2021)
Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. CoRR (2020)
Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
Computing Valid P-Values for Image Segmentation by Selective Inference. CVPR (2020)
Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. CVPR (2020)
Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
Computing Valid p-values for Image Segmentation by Selective Inference. CoRR (2019)
Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto
Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information. Medical Imaging: Computer-Aided Diagnosis (2018)
Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido
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. Medical Imaging: Computer-Aided Diagnosis (2018)
Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido
Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns. Int. J. Comput. Assist. Radiol. Surg. 12 (3) (2017)
Tomohiro Sato, Noriaki Hashimoto, Teruki Honma
Bioisostere Identification by Determining the Amino Acid Binding Preferences of Common Chemical Fragments. J. Chem. Inf. Model. 57 (12) (2017)
Noriaki Hashimoto, Yuri Murakami, Masahiro Yamaguchi, Takashi Obi, Nagaaki Ohyama
Color Enhancement of Multispectral Images for Effective Visualization. CGIV/MCS (2010)
Noriaki Hashimoto, Shoko Imaizumi, Masaaki Fujiyoshi, Hitoshi Kiya
Hierarchical encryption using short encryption keys for scalable access control of JPEG 2000 coded images. ICIP (2008)