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David Joon Ho

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Stain-invariant self supervised learning for histopathology image analysis

Nov 14, 2022
Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Stefano Soatto, Saad Nadeem

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Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction

Aug 09, 2022
David Joon Ho, Narasimhan P. Agaram, Marc-Henri Jean, Stephanie D. Suser, Cynthia Chu, Chad M. Vanderbilt, Paul A. Meyers, Leonard H. Wexler, John H. Healey, Thomas J. Fuchs, Meera R. Hameed

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Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation

Mar 28, 2022
David Joon Ho, M. Herman Chui, Chad M. Vanderbilt, Jiwon Jung, Mark E. Robson, Chan-Sik Park, Jin Roh, Thomas J. Fuchs

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Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment

Jul 02, 2020
David Joon Ho, Narasimhan P. Agaram, Peter J. Schueffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs

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Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation

Oct 29, 2019
David Joon Ho, Dig V. K. Yarlagadda, Timothy M. D'Alfonso, Matthew G. Hanna, Anne Grabenstetter, Peter Ntiamoah, Edi Brogi, Lee K. Tan, Thomas J. Fuchs

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Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images

Sep 13, 2019
David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp

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Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation

Apr 21, 2018
Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp

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