| Fully automated echocardiogram interpretation in clinical practice: feasibility and diagnostic accuracy J Zhang, S Gajjala, P Agrawal, GH Tison, LA Hallock, L Beussink-Nelson, ... Circulation 138 (16), 1623-1635, 2018 | 820 | 2018 |
| Memory-Efficient Incremental Learning Through Feature Adaptation A Iscen, J Zhang, S Lazebnik, C Schmid ECCV 2020, 2020 | 188 | 2020 |
| Automated and interpretable patient ECG profiles for disease detection, tracking, and discovery GH Tison, J Zhang, FN Delling, RC Deo Circulation: Cardiovascular Quality and Outcomes 12 (9), e005289, 2019 | 167 | 2019 |
| Toward accurate and realistic outfits visualization with attention to details K Li, MJ Chong, J Zhang, J Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 47 | 2021 |
| An end-to-end computer vision pipeline for automated cardiac function assessment by echocardiography RC Deo, J Zhang, LA Hallock, S Gajjala, L Nelson, E Fan, MA Aras, ... CoRR, 2017 | 12 | 2017 |
| POVNet: Image-based virtual try-on through accurate warping and residual K Li, J Zhang, D Forsyth IEEE transactions on pattern analysis and machine intelligence 45 (10 …, 2023 | 8 | 2023 |
| Preserving Image Properties Through Initializations in Diffusion Models J Zhang, SY Chang, K Li, D Forsyth Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| Controlling Virtual Try-on Pipeline Through Rendering Policies K Li, J Zhang, SY Chang, D Forsyth Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 2* | 2024 |
| ACDG-VTON: Accurate and Contained Diffusion Generation for Virtual Try-On J Zhang, K Li, SY Chang, D Forsyth arXiv preprint arXiv:2403.13951, 2024 | 1 | 2024 |
| Automated cardiac function assessment by echocardiography RC Deo, J Zhang US Patent US11950961B2, 2024 | | 2024 |
| Controllable image-based virtual try-on system K Li, J Zhang US Patent US20230086880A1, 2023 | | 2023 |
