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Tomoharu Kiyuna
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2020 – today
- 2022
- [c8]Tomoharu Kiyuna, Noriko Motoi, Hiroshi Yoshida, Hidehito Horinouchi, Tatsuya Yoshida, Takashi Kohno, Shun-ichi Watanabe, Yuichiro Ohe, Atsushi Ochiai:
Drug response prediction using deep neural network trained by adaptive resampling of histopathological images. Computer-Aided Diagnosis 2022 - 2021
- [c7]Eric Cosatto, Kyle Gerard, Hans Peter Graf, Maki Ogura, Tomoharu Kiyuna, Kanako C. Hatanaka, Yoshihiro Matsuno, Yutaka Hatanaka:
A multi-scale conditional deep model for tumor cell ratio counting. Digital Pathology 2021 - [i1]Eric Cosatto, Kyle Gerard, Hans Peter Graf, Maki Ogura, Tomoharu Kiyuna, Kanako C. Hatanaka, Yoshihiro Matsuno, Yutaka Hatanaka:
A Multi-Scale Conditional Deep Model for Tumor Cell Ratio Counting. CoRR abs/2101.11731 (2021)
2010 – 2019
- 2019
- [j1]Maulana Abdul Aziz, Tomoya Nakamura, Masahiro Yamaguchi, Tomoharu Kiyuna, Yoshiko Yamashita, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto:
Effectiveness of color correction on the quantitative analysis of histopathological images acquired by different whole-slide scanners. Artif. Life Robotics 24(1): 28-37 (2019) - 2014
- [c6]Yuri Murakami, Tokiya Abe, Yoshiko Yamashita, Masahiro Yamaguchi, Masahiro Ishikawa, Akinori Hashiguchi, Tomoharu Kiyuna, Akira Saito, Michiie Sakamoto:
Color processing in pathology image analysis system for liver biopsy. CIC 2014: 184-188 - 2013
- [c5]Tomoharu Kiyuna, Akira Saito, Atsushi Marugame, Yoshiko Yamashita, Maki Ogura, Eric Cosatto, Tokiya Abe, Akinori Hashiguchi, Michiie Sakamoto:
Automatic classification of hepatocellular carcinoma images based on nuclear and structural features. Digital Pathology 2013: 86760Y - [c4]Akira Saito, Eric Cosatto, Tomoharu Kiyuna, Michiie Sakamoto:
Dawn of the digital diagnosis assisting system, can it open a new age for pathology? Digital Pathology 2013: 867602 - [c3]Eric Cosatto, Pierre-François Laquerre, Christopher Malon, Hans Peter Graf, Akira Saito, Tomoharu Kiyuna, Atsushi Marugame, Ken'ichi Kamijo:
Automated gastric cancer diagnosis on H&E-stained sections; ltraining a classifier on a large scale with multiple instance machine learning. Digital Pathology 2013: 867605
2000 – 2009
- 2008
- [c2]Tomoharu Kiyuna, Akira Saito, Elizabeth Kerr, Wendy A. Bickmore:
Characterization of chromatin texture by contour complexity for cancer cell classification. BIBE 2008: 1-6
1990 – 1999
- 1998
- [c1]Ken'ichi Kamijo, Tomoharu Kiyuna, Toshimasa Yamazaki:
Application of PDM Digital Neural Network System to Real-Time Brain Activity Source Localization. ICONIP 1998: 1414-1417
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