Machine learning methods for histopathological image analysis: updates in 2024
Komura, Daisuke, Ochi, Mieko, Ishikawa, Shumpei·2025·Computational and Structural Biotechnology Journal
Cites (223)
Items 201–223 of 223
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- Exploring histological predictive biomarkers for immune checkpoint inhibitor therapy response in non–small cell lung cancerUiju Cho, Soyoung Im, Hyung Soon Park · 2024 · Journal of Pathology and Translational Medicine
- Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessmentsGan Gao, Andrew H. Song, Fiona Wang, David Brenes, Rui Wang, Sarah S. L. Chow, Kevin W. Bishop, Lawrence D. True, Faisal Mahmood, Jonathan T.C. Liu · 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
- A contrastive learning approach to integrate spatial transcriptomics and histological imagesYu Lin, Yanchun Liang, Duolin Wang, Yuzhou Chang, Qin Ma, Yan Wang, Fei He, Dong He Xu · 2024 · Computational and Structural Biotechnology Journal
- Counterfactual Diffusion Models for Interpretable Explanations of Artificial Intelligence Models in PathologyLaura Žigutytė, Tim Lenz, Tianyu Han, Katherine Jane Hewitt, Nic Gabriel Reitsam, Sebastian Foersch, Zunamys Itzell Carrero, Michaela Unger, Asier Rabasco Meneghetti, Alexander T. Pearson et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
- A pilot study of micro-CT-based whole tissue imaging (WTI) on endoscopic submucosal dissection (ESD) specimensHirotsugu Sakamoto, Makoto Nishimura, А. А. Теплов, Galen Leung, Peter Ntiamoah, Emine Cesmecioglu, Noboru Kawata, Takashi Ohnishi, Kareem Ibrahim, Jinru Shia et al. · 2022 · Scientific Reports
- Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive LearningRonald Xie, Kuan Pang, Chung, Sai W., Perciani, Catia T., MacParland, Sonya A., Bo Wang, Bader, Gary D. · 2023 · arXiv (Cornell University)
- Spatial Transcriptomics Prediction from Histology Images at Single-cell Resolution using RedeHistYunshan Zhong, Jiaxiang Zhang, Xianwen Ren · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
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- Immunocto: A massive immune cell database auto-generated for histopathologyMikaël Simard, Zhuoyan Shen, Konstantin Bräutigam, Rasha Abu Eid, M. Hawkins, Charles‐Antoine Collins‐Fekete · 2025 · Medical Image Analysis
- Histopathology Slide Indexing and Search — Are We There Yet?Shang, Helen H., Nasr, Mohammad Sadegh, Veerla, Jai Prakash, Saurav, Jillur Rahman, Hajighasemi, Amir, Malidarreh, Parisa, Huber, Manfred, Moleta, Chace, Makker, Jitin, Luber, Jacob M. · 2024 · NEJM AI
- Benchmarking Deep Learning-Based Image Retrieval of Oral Tumor HistologyRanny Rahaningrum Herdiantoputri, Daisuke Komura, Mieko Ochi, Yuki Fukawa, Kou Kayamori, Maiko Tsuchiya, Yoshinao Kikuchi, Tetsuo Ushiku, Tohru Ikeda, Shumpei Ishikawa · 2024 · Cureus
- Stain-invariant self supervised learning for histopathology image analysisAlexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Goh, Alvin C., Stefano Soatto, Saad Nadeem · 2022 · arXiv (Cornell University)
- Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention NetworkZhe Li, Yuming Jiang, Leon Liu, Yong Xia, Ruijiang Li · 2023 · Lecture notes in computer science
- SoftCTM: Cell Detection by Soft Instance Segmentation and Consideration of Cell-Tissue InteractionLydia A. Schoenpflug, Viktor Hendrik Koelzer · 2024 · Lecture notes in computer science
- HistoSPACE: Histology-inspired spatial transcriptome prediction and characterization engineShivam Kumar, Samrat Chatterjee · 2024 · Methods
- Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence ViewJianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Weidong Cai · 2024 · Lecture notes in computer science
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- PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of PathologyYuxuan Sun, Chenglu Zhu, Sunyi Zheng · 2023 · arXiv (Cornell University)
- Dense Prediction of Cell Centroids Using Tissue Context and Cell RefinementJoshua Millward, Zhen He, Aiden Nibali · 2024 · Lecture notes in computer science
- Immunocto: a massive immune cell database auto-generated for histopathologyCharles‐Antoine Collins‐Fekete, Mikaël Simard, Zhuoyan Shen, Abu-Eid, Rasha, M. Hawkins, Charles‐Antoine Collins‐Fekete · 2024 · arXiv (Cornell University)
- Mamba2MIL: State Space Duality Based Multiple Instance Learning for Computational PathologyZhang, Yuqi, Xiaoqian Zhang, Jiakai Wang, Yuancheng Yang, Taiying Peng, Tong, Chao · 2024 · arXiv (Cornell University)
- SegRep: Mask-Supervised Learning for Segment Representation in Pathology ImagesChichun Yang, Daisuke Komura, Mieko Ochi, Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa · 2024 · IEEE Access