| 2025 | MICCAI | Unsupervised Anomaly Detection on Preclinical Liver H &E Whole Slide Images Using Graph Based Feature Distillation. | Lin Li, Lillie Shelton, Thomas Forest, Kyathanahalli Janardhan, Tiffany Jenkins, Michael J. Napolitano, Roujia Wang, David Leigh, Tosha Shah, Grady Earl Carlson, Rajath Soans, Antong Chen |
| 2022 | MICCAI | Sequential Multi-task Learning for Histopathology-Based Prediction of Genetic Mutations with Extremely Imbalanced Labels. | Haleh Akrami, Tosha Shah, Amir Vajdi, Andrew Brown, Radha Krishnan, Razvan Cristescu, Antong Chen |
| 2021 | ICLR | Group Equivariant Generative Adversarial Networks. | Neel Dey, Antong Chen, Soheil Ghafurian |
| 2021 | MICCAI | Segmentation of Left Atrial MR Images via Self-supervised Semi-supervised Meta-learning. | Dani Kiyasseh, Albert Swiston, Ronghua Chen, Antong Chen |
| 2019 | WACV | A Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions. | Bo Zhou, Antong Chen, Randolph Crawford, Belma Dogdas, Gregory Goldmacher |
| 2017 | MICCAI | Transfer Learning for the Fully Automatic Segmentation of Left Ventricle Myocardium in Porcine Cardiac Cine MR Images. | Antong Chen, Tian Zhou, Ilknur Icke, Sarayu Parimal, Belma Dogdas, Joseph Forbes, Smita Sampath, Ansuman Bagchi, Chih-Liang Chin |