Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs. - Zheng Shou 001; Dongang Wang; Shih-Fu Chang (CVPR, 2016)

Cross-media Event Extraction and Recommendation. - Di Lu 003; Clare R. Voss; Fangbo Tao; Xiang Ren 001; Rachel Guan; Rostyslav Korolov; Tongtao Zhang; Dongang Wang; Hongzhi Li 001; Taylor Cassidy; Heng Ji 001; Shih-Fu Chang; et al. (HLT-NAACL Demos, 2016)

Action Temporal Localization in Untrimmed Videos via Multi-stage CNNs. - Zheng Shou 001; Dongang Wang; Shih-Fu Chang (CoRR, 2016)

EventNet Version 1.1 Technical Report. - Dongang Wang; Zheng Shou 001; Hongyi Liu 004; Shih-Fu Chang (CoRR, 2016)

Dividing and Aggregating Network for Multi-view Action Recognition. - Dongang Wang; Wanli Ouyang; Wen Li 001; Dong Xu 001 (ECCV (9), 2018)

Masked Multi-Task Network for Case-Level Intracranial Hemorrhage Classification in Brain CT Volumes. - Dongang Wang; Chenyu Wang 001; Lynette Masters; Michael Barnett 006 (MICCAI (7), 2020)

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. - Dongnan Liu; Mariano Cabezas; Dongang Wang; Zihao Tang; Lei Bai 001; Geng Zhan; Yuling Luo; Kain Kyle; Linda Ly; James Yu; Chun-Chien Shieh; Aria Nguyen; et al. (CoRR, 2022)

A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. - Michael Barnett 006; Dongang Wang; Heidi Beadnall; Antje Bischof; David Brunacci; Helmut Butzkueven; J. William L. Brown; Mariano Cabezas; Tilak Das; Tej Dugal; Daniel Guilfoyle; Alexander Klistorner; et al. (npj Digit. Medicine, 2023)

Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis. - Yang Ma; Dongang Wang; Peilin Liu; Lynette Masters; Michael Barnett 006; Tom Weidong Cai; Chenyu Wang 001 (MICCAI (12), 2024)

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. - Lei Bai 001; Dongang Wang; Hengrui Wang; Michael Barnett 006; Mariano Cabezas; Weidong Cai 001; Fernando Calamante; Kain Kyle; Dongnan Liu; Linda Ly; Aria Nguyen; Chun-Chien Shieh; et al. (Artif. Intell. Medicine, 2024)

How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks. - Dongang Wang; Peilin Liu; Hengrui Wang; Heidi Beadnall; Kain Kyle; Linda Ly; Mariano Cabezas; Geng Zhan; Ryan Sullivan; Tom Weidong Cai; Wanli Ouyang; Fernando Calamante; et al. (CoRR, 2024)

Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-training: A Triple-Embedding Model Selector Approach. - Aowen Wang; Zhiwang Zhang; Dongang Wang; Fanyi Wang; Haotian Hu; Jinyang Guo; Yipeng Zhou; Chaoyi Pang; Shiting Wen (AAAI, 2025)

From Promise to Practical Reality: Transforming Diffusion MRI Analysis with Fast Deep Learning Enhancement. - Xinyi Wang; Michael Barnett 006; Frederique Boonstra; Yael Barnett; Mariano Cabezas; Arkiev D'Souza; Matthew C. Kiernan; Kain Kyle; Meng Law; Lynette Masters; Zihao Tang; Stephen Tisch; et al. (CoRR, 2025)