David Joon Ho - RankMe

18 papers B 1Journal 10Unranked 7

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	PAIP 2020: Microsatellite instability prediction in colorectal cancer. Medical Image Anal. 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
2022	J	`jnl`	Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation. CoRR David Joon Ho, M. Herman Chui, Chad M. Vanderbilt, Ji Won Jung, Mark E. Robson, Chan-Sik Park, Jin Roh, Thomas J. Fuchs
2022	J	`jnl`	Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction. CoRR 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
2022	J	`jnl`	H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma. CoRR Gabriele Campanella, David Joon Ho, Ida Häggström, Anton S. Becker, Jason Chang, Chad M. Vanderbilt, Thomas J. Fuchs
2022	J	`jnl`	Stain-invariant self supervised learning for histopathology image analysis. CoRR Alexandre Tiard, Alex Wong, David Joon Ho, Yangchao Wu, Eliram Nof, Stefano Soatto, Saad Nadeem
2021	J	`jnl`	Deep Multi-Magnification Networks for multi-class breast cancer image segmentation. Comput. Medical Imaging Graph. 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
2020	—	`conf`	Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. MICCAI (5) David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs
2020	J	`jnl`	Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment. CoRR David Joon Ho, Narasimhan P. Agaram, Peter J. Schüffler, Chad M. Vanderbilt, Marc-Henri Jean, Meera R. Hameed, Thomas J. Fuchs
2019	—	`conf`	Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images. BHI David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp
2019	J	`jnl`	Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images. CoRR David Joon Ho, Shuo Han, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp
2019	J	`jnl`	Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation. CoRR 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
2018	J	`jnl`	Fluorescence Microscopy Image Segmentation Using Convolutional Neural Network With Generative Adversarial Networks. CoRR Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp
2018	—	`conf`	Nuclei detection and segmentation of fluorescence microscopy images using three dimensional convolutional neural networks. ISBI David Joon Ho, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp
2018	—	`conf`	Person Segmentation Using Convolutional Neural Networks With Dilated Convolutions. IMAWM David Joon Ho, Qian Lin
2018	—	`conf`	Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation. CVPR Workshops Chichen Fu, Soonam Lee, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp
2017	B	`conf`	Boundary segmentation for fluorescence microscopy using steerable filters. Image Processing David Joon Ho, Paul Salama, Kenneth W. Dunn, Edward J. Delp
2017	—	`conf`	Nuclei Segmentation of Fluorescence Microscopy Images Using Three Dimensional Convolutional Neural Networks. CVPR Workshops David Joon Ho, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp
2017	—	`conf`	Nuclei segmentation of fluorescence microscopy images using convolutional neural networks. ISBI Chichen Fu, David Joon Ho, Shuo Han, Paul Salama, Kenneth W. Dunn, Edward J. Delp