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ORCIDNoriaki Hashimoto
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2020 – today
- 2024
[c8]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: 519-527- [i8]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 abs/2404.16328 (2024) - [i7]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 abs/2406.05964 (2024) - 2023
- [j5]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: 102752 (2023) - [j4]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): 1970-2005 (2023) - [c7]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: 114-123 - [i6]Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi:
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. CoRR abs/2306.12670 (2023) - [i5]Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma:
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. CoRR abs/2310.12769 (2023) - 2022
- [j3]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): 1379-1389 (2022) - [i4]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 abs/2206.03003 (2022) - 2021
- [i3]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 abs/2107.03602 (2021) - 2020
- [c6]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: 3851-3860 - [c5]Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid P-Values for Image Segmentation by Selective Inference. CVPR 2020: 9550-9559 - [i2]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 abs/2001.01599 (2020)
2010 – 2019
- 2019
- [i1]Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid p-values for Image Segmentation by Selective Inference. CoRR abs/1906.00629 (2019) - 2018
- [c4]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: 1057534 - [c3]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: 1057536 - 2017
- [j2]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): 519-528 (2017) - [j1]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): 2938-2947 (2017) - 2010
- [c2]Noriaki Hashimoto, Yuri Murakami, Masahiro Yamaguchi, Takashi Obi, Nagaaki Ohyama:
Color Enhancement of Multispectral Images for Effective Visualization. CGIV/MCS 2010: 282-288
2000 – 2009
- 2008
- [c1]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: 3116-3119
Coauthor Index
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last updated on 2024-08-05 21:25 CEST by the dblp team
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