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


Jun 07, 2022
Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi

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Manifold Modeling in Quotient Space: Learning An Invariant Mapping with Decodability of Image Patches


Mar 10, 2022
Tatsuya Yokota, Hidekata Hontani

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


Jul 09, 2021
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

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


Jan 06, 2020
Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi

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Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"


Aug 08, 2019
Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki

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Computing Valid p-values for Image Segmentation by Selective Inference


Jun 03, 2019
Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi

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* 20 pages, 8 figures 

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Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space


Apr 05, 2018
Tatsuya Yokota, Burak Erem, Seyhmus Guler, Simon K. Warfield, Hidekata Hontani

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* accepted for CVPR2018 

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Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization


Jan 10, 2018
Tatsuya Yokota, Hidekata Hontani

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