| Kid-net: convolution networks for kidney vessels segmentation from ct-volumes A Taha, P Lo, J Li, T Zhao International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 84 | 2018 |
| Systems and methods for segmentation of anatomical structures for image-guided surgery J Li, PCP Lo, A Taha, T Zhao US Patent 10,885,630, 2021 | 80 | 2021 |
| Knowledge Evolution in Neural Networks A Taha, A Shrivastava, L Davis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 38 | 2021 |
| Boosting standard classification architectures through a ranking regularizer A Taha, YT Chen, T Misu, A Shrivastava, L Davis Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 35* | 2020 |
| Unsupervised data uncertainty learning in visual retrieval systems A Taha, YT Chen, T Misu, A Shrivastava, L Davis arXiv preprint arXiv:1902.02586, 2019 | 21 | 2019 |
| Segmentation of renal structures for image-guided surgery J Li, P Lo, A Taha, H Wu, T Zhao International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 17 | 2018 |
| Two stream self-supervised learning for action recognition A Taha, M Meshry, X Yang, YT Chen, L Davis arXiv preprint arXiv:1806.07383, 2018 | 12 | 2018 |
| M&m: Tackling false positives in mammography with a multi-view and multi-instance learning sparse detector YN Truong Vu, D Guo, A Taha, J Su, TP Matthews International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 10 | 2023 |
| Systems for modeling uncertainty in multi-modal retrieval and methods thereof A Taha, Y Chen, T Misu, L Davis, X Yang US Patent App. 16/254,439, 2020 | 10 | 2020 |
| A Generic Visualization Approach for Convolutional Neural Networks A Taha, X Yang, A Shrivastava, L Davis Proceedings of the European Conference on Computer Vision (ECCV), 2020 | 10 | 2020 |
| Exploring uncertainty in conditional multi-modal retrieval systems A Taha, YT Chen, X Yang, T Misu, L Davis arXiv preprint arXiv:1901.07702, 2019 | 10 | 2019 |
| Texture synthesis with recurrent variational auto-encoder R Chandra, S Grover, K Lee, M Meshry, A Taha arXiv preprint arXiv:1712.08838, 2017 | 10 | 2017 |
| Deep is a Luxury We Don't Have A Taha, YNT Vu, B Mombourquette, TP Matthews, J Su, S Singh International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 5 | 2022 |
| Methods and systems for visual recognition using triplet loss A Taha, Y Chen, T Misu, L Davis US Patent 10,902,303, 2021 | 5 | 2021 |
| Seeded laplacian: An interactive image segmentation approach using eigenfunctions A Taha, M Torki 2015 IEEE International Conference on Image Processing (ICIP), 11-15, 2015 | 5 | 2015 |
| System for performing intersection scenario retrieval and method thereof YT Chen, N Agarwal, B Dariush, A Taha US Patent 11,741,723, 2023 | 4 | 2023 |
| Systems and methods for segmentation of anatomical structures for image-guided surgery J Li, PCP Lo, A Taha, T Zhao US Patent 11,657,502, 2023 | 3 | 2023 |
| Multi-Modality Feature Transform: An Interactive Image Segmentation Approach. M Meshry, A Taha, M Torki BMVC, 72.1-72.12, 2015 | 3 | 2015 |
| Systems and methods for segmentation of anatomical structures for image-guided surgery J Li, PCP Lo, A Taha, T Zhao US Patent 12,033,325, 2024 | 1 | 2024 |
| Problems and shortcuts in deep learning for screening mammography T Tsue, B Mombourquette, A Taha, TP Matthews, YNT Vu, J Su arXiv preprint arXiv:2303.16417, 2023 | 1 | 2023 |
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
