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Cancer Research|July 2, 2025
Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and MultimodalityPegah Khosravi, Thomas J Fuchs, David Joon HoJournal of Medical Imaging (Bellingham, Wash.)|September 9, 2020
Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy imagesDavid Joon Ho, Daniel Mas Montserrat, Chichen Fu, et al.Scientific Reports|December 5, 2019
DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic dataKenneth W Dunn, Chichen Fu, David Joon Ho, et al.Journal of Pathology Informatics|January 19, 2026
MuCoSA: Multi-contextual similarity assessment for histopathology image searchGyu Yeong Kim, Yongjun Jeon, Hoyeon Jeong, et al.Journal of Pathology Informatics|December 20, 2022
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutationDavid Joon Ho, M Herman Chui, Chad M Vanderbilt, et al.Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 23, 2021
Deep Multi-Magnification Networks for multi-class breast cancer image segmentationDavid Joon Ho, Dig V K Yarlagadda, Timothy M D'Alfonso, et al.Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|October 11, 2025
Deep Learning-Based Segmentation of Lung Adenocarcinoma Whole-Slide Images for Objective Grading, Tumor Spread Through Air Spaces Identification, and Mutation PredictionDavid Joon Ho, Jason C Chang, Rania G Aly, et al.Modern Pathology : an Official Journal of the United States and Canadian Academy of Pathology, Inc|April 27, 2021
Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimensTimothy M D'Alfonso, David Joon Ho, Matthew G Hanna, et al.Medical Image Analysis|July 26, 2023
PAIP 2020: Microsatellite instability prediction in colorectal cancerKyungmo Kim, Kyoungbun Lee, Sungduk Cho, et al.Pageof 1