Publications by authors named "David J Ho"

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Deep Learning-Based Segmentation of Lung Adenocarcinoma Whole-Slide Images for Objective Grading, Tumor Spread Through Air Spaces Identification, and Mutation Prediction.
David Joon Ho, Jason C Chang, Rania G Aly, Hai Cao Truong Nguyen, Prasad S Adusumilli, Thomas J Fuchs

Mod Pathol· December 2025

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Artificial Intelligence-Driven Cancer Diagnostics: Enhancing Radiology and Pathology through Reproducibility, Explainability, and Multimodality.
Pegah Khosravi, Thomas J Fuchs, David Joon Ho

Cancer Res· July 2025

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A Need for Multi-Institutional Collaboration for Deep Learning-Driven Assessment of Osteosarcoma Treatment Response.
David Joon Ho, Narasimhan P Agaram, John H Healey, Meera R Hameed

Am J Pathol· June 2025

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Toward Deploying a Deep Learning Model for Diagnosis of Rhabdomyosarcoma.
David Joon Ho, Narasimhan P Agaram, Arthur O Frankel, Melvin Lathara, Daniel Catchpoole

Mod Pathol· March 2024

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PAIP 2020: Microsatellite instability prediction in colorectal cancer.
Kyungmo Kim, Kyoungbun Lee, Sungduk Cho, Dong Un Kang, Seongkeun Park, Gheeyoung Choe, Choyeon Hong, Doo-Hyun Choi, David Joon Ho, Gyeong Hoon Kang, Jinwook Choi

Med Image Anal· October 2023

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Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction.
David J Ho, Narasimhan P Agaram, Marc-Henri Jean, Stephanie D Suser, Cynthia Chu, Thomas J Fuchs

Am J Pathol· March 2023

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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.
David Joon Ho, M Herman Chui, Chad M Vanderbilt, Jiwon Jung, Mark E Robson, Thomas J Fuchs

J Pathol Inform· November 2022

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Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens.
Timothy M D'Alfonso, David Joon Ho, Matthew G Hanna, Anne Grabenstetter, Dig Vijay Kumar Yarlagadda, Thomas J Fuchs

Mod Pathol· August 2021

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Deep Multi-Magnification Networks for multi-class breast cancer image segmentation.
David Joon Ho, Dig V K Yarlagadda, Timothy M D'Alfonso, Matthew G Hanna, Anne Grabenstetter, Thomas J Fuchs

Comput Med Imaging Graph· March 2021

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Post-Operative Permanent Hypoparathyroidism and Preoperative Vitamin D Prophylaxis.
Tara Kannan, Yasmin Foster, David J Ho, Scott J Gelzinnis, Michael Merakis

J Clin Med· January 2021

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Sphere estimation network: three-dimensional nuclei detection of fluorescence microscopy images.
David Joon Ho, Daniel Mas Montserrat, Chichen Fu, Paul Salama, Kenneth W Dunn

J Med Imaging (Bellingham)· July 2020

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DeepSynth: Three-dimensional nuclear segmentation of biological images using neural networks trained with synthetic data.
Kenneth W Dunn, Chichen Fu, David Joon Ho, Soonam Lee, Shuo Han

Sci Rep· December 2019

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