Capturing the differences between humoral immunity in the normal and tumor environments from repertoire-seq of B-cell receptors using supervised machine learning. - Hiroki Konishi; Daisuke Komura; Hiroto Katoh; Shinichiro Atsumi; Hirotomo Koda; Asami Yamamoto; Yasuyuki Seto; Masashi Fukayama; Rui Yamaguchi; Seiya Imoto; Shumpei Ishikawa (BMC Bioinform., 2019)

Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists. - Daisuke Komura; Takumi Onoyama; Koki Shinbo; Hiroto Odaka; Minako Hayakawa; Mieko Ochi; Ranny Rahaningrum Herdiantoputri; Haruya Endo; Hiroto Katoh; Tohru Ikeda; Tetsuo Ushiku; Shumpei Ishikawa (Patterns, 2023)

SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images. - Chichun Yang; Daisuke Komura; Mieko Ochi; Miwako Kakiuchi; Hiroto Katoh; Tetsuo Ushiku; Shumpei Ishikawa (IEEE Access, 2024)

Comprehensive Pathological Image Segmentation via Teacher Aggregation for Tumor Microenvironment Analysis. - Daisuke Komura; Maki Takao; Mieko Ochi; Takumi Onoyama; Hiroto Katoh; Hiroyuki Abe; Hiroyuki Sano; Teppei Konishi; Toshio Kumasaka; Tomoyuki Yokose; Yohei Miyagi; Tetsuo Ushiku; et al. (CoRR, 2025)