Seuraa
Ahmed Taha
Ahmed Taha
WhiteRabbit.AI (previously at University of Maryland)
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.umd.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Kid-net: convolution networks for kidney vessels segmentation from ct-volumes
A Taha, P Lo, J Li, T Zhao
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
682018
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
442021
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
29*2020
Knowledge Evolution in Neural Networks
A Taha, A Shrivastava, L Davis
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
172021
Unsupervised data uncertainty learning in visual retrieval systems
A Taha, YT Chen, T Misu, A Shrivastava, L Davis
arXiv preprint arXiv:1902.02586, 2019
162019
Segmentation of renal structures for image-guided surgery
J Li, P Lo, A Taha, H Wu, T Zhao
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
162018
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
92020
Two stream self-supervised learning for action recognition
A Taha, M Meshry, X Yang, YT Chen, L Davis
arXiv preprint arXiv:1806.07383, 2018
92018
Texture synthesis with recurrent variational auto-encoder
R Chandra, S Grover, K Lee, M Meshry, A Taha
arXiv preprint arXiv:1712.08838, 2017
82017
Exploring uncertainty in conditional multi-modal retrieval systems
A Taha, YT Chen, X Yang, T Misu, L Davis
arXiv preprint arXiv:1901.07702, 2019
72019
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
52020
Seeded laplacian: An interactive image segmentation approach using eigenfunctions
A Taha, M Torki
2015 IEEE International Conference on Image Processing (ICIP), 11-15, 2015
52015
Multi-Modality Feature Transform: An Interactive Image Segmentation Approach.
M Meshry, A Taha, M Torki
BMVC, 72.1-72.12, 2015
32015
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
22022
System for performing intersection scenario retrieval and method thereof
YT Chen, N Agarwal, B Dariush, A Taha
US Patent 11,741,723, 2023
12023
Seeded laplaican: An eigenfunction solution for scribble based interactive image segmentation
A Taha, M Torki
arXiv preprint arXiv:1702.00882, 2017
12017
M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector
YNT Vu, D Guo, A Taha, J Su, TP Matthews
arXiv preprint arXiv:2308.06420, 2023
2023
Systems and methods for segmentation of anatomical structures for image-guided surgery
J Li, PCP Lo, A Taha, T Zhao
US Patent App. 18/299,612, 2023
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
2023
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
2023
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Artikkelit 1–20