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2020 – today
- 2023
[j2]Kyungmo Kim, Kyoungbun Lee, Sungduk Cho
, Dong Un Kang, Seongkeun Park, Yunsook Kang, Hyunjeong Kim, Gheeyoung Choe, Kyung Chul Moon, Kyu Sang Lee, Jeong Hwan Park, Choyeon Hong, Ramin Nateghi, Fattaneh Pourakpour, Xiyue Wang, Sen Yang, Seyed Alireza Fatemi Jahromi, Aliasghar Khani, Hwa-Rang Kim, Doo-Hyun Choi, Chang Hee Han, Jin Tae Kwak, Fan Zhang, Bing Han, David Joon Ho, Gyeong Hoon Kang, Se Young Chun, Won-Ki Jeong, Peom Park, Jinwook Choi:
PAIP 2020: Microsatellite instability prediction in colorectal cancer. Medical Image Anal. 89: 102886 (2023)- 2022
- [i8]David Joon Ho, M. Herman Chui, Chad M. Vanderbilt, Ji Won Jung, Mark E. Robson, Chan-Sik Park, Jin Roh, Thomas J. Fuchs:
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation. CoRR abs/2203.15015 (2022) - [i7]Gabriele Campanella, David Joon Ho, Ida Häggström, Anton S. Becker, Jason Chang, Chad M. Vanderbilt, Thomas J. Fuchs:
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma. CoRR abs/2206.10573 (2022) - [i6]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:
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction. CoRR abs/2208.04910 (2022) - [i5]Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Stefano Soatto, Saad Nadeem:
Stain-invariant self supervised learning for histopathology image analysis. CoRR abs/2211.07590 (2022) - 2021
- [j1]David Joon Ho, Dig Vijay Kumar Yarlagadda, Timothy M. D'Alfonso, Matthew G. Hanna, Anne Grabenstetter, Peter Ntiamoah, Edi Brogi, Lee K. Tan, Thomas J. Fuchs:
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation. Comput. Medical Imaging Graph. 88: 101866 (2021) - 2020
- [c8]David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs:
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. MICCAI (5) 2020: 540-549 - [i4]David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs:
Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. CoRR abs/2007.01383 (2020)
2010 – 2019
- 2019
- [c7]David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images. BHI 2019: 1-4 - [i3]David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images. CoRR abs/1909.05992 (2019) - [i2]David Joon Ho, Dig Vijay Kumar Yarlagadda, Timothy M. D'Alfonso, Matthew G. Hanna, Anne Grabenstetter, Peter Ntiamoah, Edi Brogi, Lee K. Tan, Thomas J. Fuchs:
Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation. CoRR abs/1910.13042 (2019) - 2018
- [c6]Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation. CVPR Workshops 2018: 2221-2229 - [c5]David Joon Ho, Qian Lin:
Person Segmentation Using Convolutional Neural Networks With Dilated Convolutions. IMAWM 2018: 1-7 - [c4]David Joon Ho, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networks. ISBI 2018: 418-422 - [i1]Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks. CoRR abs/1801.07198 (2018) - 2017
- [c3]David Joon Ho, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks. CVPR Workshops 2017: 834-842 - [c2]Chichen Fu, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Nuclei segmentation of fluorescence microscopy images using convolutional neural networks. ISBI 2017: 704-708 - [c1]David Joon Ho, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Boundary segmentation for fluorescence microscopy using steerable filters. Image Processing 2017: 101330E
Coauthor Index
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