河村大輔

コウムラダイスケ | Daisuke Komura

所属機関・部署：
職名：助教

研究分野 (4件)：人体病理学 , 生命、健康、医療情報学 , 知能情報学 , システムゲノム科学

競争的資金等の研究課題 (5件)：

論文 (76件)：

Ranny R Herdiantoputri, Daisuke Komura, Mieko Ochi, Yuki Fukawa, Kou Kayamori, Maiko Tsuchiya, Yoshinao Kikuchi, Tetsuo Ushiku, Tohru Ikeda, Shumpei Ishikawa. Benchmarking Deep Learning-Based Image Retrieval of Oral Tumor Histology. Cureus. 2024. 16. 6. e62264
Sae Ito, Ryo Matsunaga, Makoto Nakakido, Daisuke Komura, Hiroto Katoh, Shumpei Ishikawa, Kouhei Tsumoto. High-throughput system for the thermostability analysis of proteins. Protein science : a publication of the Protein Society. 2024. 33. 6. e5029
Seiei Torazawa, Satoru Miyawaki, Hideaki Imai, Hiroki Hongo, Hideaki Ono, Shotaro Ogawa, Yu Sakai, Satoshi Kiyofuji, Satoshi Koizumi, Daisuke Komura, et al. Association of Genetic Variants with Postoperative Donor Artery Development in Moyamoya Disease: RNF213 and Other Moyamoya Angiopathy-Related Gene Analysis. Translational stroke research. 2024
Mieko Ochi, Daisuke Komura, Takumi Onoyama, Koki Shinbo, Haruya Endo, Hiroto Odaka, Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa. Registered multi-device/staining histology image dataset for domain-agnostic machine learning models. Scientific data. 2024. 11. 1. 330-330
Chichun Yang, Daisuke Komura, Miwako Kakiuchi, Mieko Ochi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa. SegRep: Mask-Based Self-Supervised Learning for Segment Representation in Pathology Images. TechRxiv. 2024

MISC (34件)：

Daisuke Komura, Shumpei Ishikawa. Meet the authors: Daisuke Komura and Shumpei Ishikawa. Patterns (New York, N.Y.). 2023. 4. 7. 100794-100794
河村大輔, 石川俊平. 腫瘍微小環境の空間トランスクリプトーム解析. 遺伝子医学. 2023. 13. 3. 78-83
渡部朱織, 菊地良直, 河村大輔, 宇於崎宏. 大腸癌と胃癌の播種巣における中皮間葉転換の誘導と免疫抑制微小環境の形成. 日本病理学会会誌. 2023. 112. 1. 278-278
越智三枝子, 河村大輔, 斧山巧, 新保幸輝, 遠藤春哉, 牛久哲男, 石川俊平. 多種撮像媒体および染色条件による多様なH&E染色病理画像データセットの構築とその活用. 日本病理学会会誌. 2023. 112. 1. 339-339
河村大輔, 斧山巧, 越智三枝子, 加藤洋人, 牛久哲男, 石川俊平. 同一標本に対するH&E染色と免疫染色を利用した細胞セグメンテーションのためのがん病理組織像データセットの開発(SegPath: cancer histopathology dataset for cell segmentation using H&E staining and immunostaining on the same specimen). 日本病理学会会誌. 2022. 111. 2. 121-121

特許 (7件)：

書籍 (3件)：

講演・口頭発表等 (102件)：

AI-based quantification of TILs using hematoxylin and eosin and immunohistochemistry-stained slides in triple-negative breast cancer
(2024 ASCO Annual Meeting 2024)
Deep learning-based quantitative assessment of tumor-infiltrating lymphocytes from hematoxylin and eosin-stained slides in triple-negative breast cancer: A prognostic study
(2024 ASCO Annual Meeting 2024)
Immunoglobulin Repertoire Sequencing of Tumor-Infiltrating B cells Identifies Therapeutically Applicable Anti-Tumor Human Antibodies
(Keystone Symposia "Antibodies as Drugs: The Art in Antibody Engineering" 2024)
Translational Research of CDK12/13 Inhibitor, CTX-439, Informing Clinical Trial Strategy
(American Association for Cancer Research 2024)
Subtype-level Segmentation Model for Inflammatory Cells in H&E images
(USCAP 113th Annual Meeting 2024)

Works (4件)：

deeptexture : Tools for deep texture representation for histology images
2023 - 現在
Viola: flexible and powerful python package designed specifically for analysis of genomic structural variant (SV) signatures
2022 - 現在
Luigi : Large-scale histopathological image retrieval system
2018 - 現在
GEMCA: Genotyping Microarray based CNV Analysis
2006 -

学位 (1件)：

委員歴 (3件)：

受賞 (1件)：

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河村 大輔