Noriaki Hashimoto

According to our database, Noriaki Hashimoto authored at least 18 papers between 2008 and 2024.

Collaborative distances:

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

2024

Distributionally Robust Safe Sample Screening.

Hiroyuki Hanada, Tatsuya Aoyama, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Shion Takeno, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi

CoRR, 2024

Distributionally Robust Safe Screening.

Hiroyuki Hanada, Satoshi Akahane, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi

CoRR, 2024

Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma.

Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications.

Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi

Neural Comput., December, 2023

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.

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

Medical Image Anal., April, 2023

Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping.

Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

2022

Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records.

Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi

CoRR, 2022

Subtype classification of malignant lymphoma using immunohistochemical staining pattern.

Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani

Int. J. Comput. Assist. Radiol. Surg., 2022

2021

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.

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

CoRR, 2021

2020

Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images.

Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi

CoRR, 2020

Computing Valid P-Values for Image Segmentation by Selective Inference.

Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images.

Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Opacity annotation of diffuse lung diseases using deep convolutional neural network with multi-channel information.

Shingo Mabu, Shoji Kido, Noriaki Hashimoto, Yasushi Hirano, Takashi Kuremoto

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

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.

Noriaki Hashimoto, Kenji Suzuki, Junchi Liu, Yasushi Hirano, Heber MacMahon, Shoji Kido

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017

Bioisostere Identification by Determining the Amino Acid Binding Preferences of Common Chemical Fragments.

Tomohiro Sato, Noriaki Hashimoto, Teruki Honma

J. Chem. Inf. Model., December, 2017

Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns.

Shingo Mabu, Masanao Obayashi, Takashi Kuremoto, Noriaki Hashimoto, Yasushi Hirano, Shoji Kido

Int. J. Comput. Assist. Radiol. Surg., 2017

2010

Color Enhancement of Multispectral Images for Effective Visualization.

Noriaki Hashimoto, Yuri Murakami, Masahiro Yamaguchi, Takashi Obi, Nagaaki Ohyama

Proceedings of the 5th European Conference on Colour in Graphics, 2010

2008

Hierarchical encryption using short encryption keys for scalable access control of JPEG 2000 coded images.

Noriaki Hashimoto, Shoko Imaizumi, Masaaki Fujiyoshi, Hitoshi Kiya

Proceedings of the International Conference on Image Processing, 2008