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)

Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis. - Mieko Ochi; Daisuke Komura; Tetsuo Ushiku; Yasushi Rino; Shumpei Ishikawa (AMAI@MICCAI, 2024)

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)

Pathology Foundation Models. - Mieko Ochi; Daisuke Komura; Shumpei Ishikawa (CoRR, 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)