Zhe Zhu
Zhe Zhu
Senior Research Associate,Duke University
Verified email at duke.edu - Homepage
TitleCited byYear
Traffic-sign detection and classification in the wild
Z Zhu, D Liang, S Zhang, X Huang, B Li, S Hu
Proceedings of the IEEE conference on computer vision and pattern …, 2016
2242016
3-sweep: Extracting editable objects from a single photo
T Chen, Z Zhu, A Shamir, SM Hu, D Cohen-Or
ACM Transactions on Graphics (TOG) 32 (6), 1-10, 2013
1862013
Faithful completion of images of scenic landmarks using internet images
Z Zhu, HZ Huang, ZP Tan, K Xu, SM Hu
IEEE transactions on visualization and computer graphics 22 (8), 1945-1958, 2015
232015
A comparative study of algorithms for realtime panoramic video blending
Z Zhu, J Lu, M Wang, S Zhang, RR Martin, H Liu, SM Hu
IEEE Transactions on Image Processing 27 (6), 2952-2965, 2018
15*2018
An optimization approach for localization refinement of candidate traffic signs
Z Zhu, J Lu, RR Martin, S Hu
IEEE Transactions on Intelligent Transportation Systems 18 (11), 3006-3016, 2017
152017
Hierarchical convolutional neural networks for segmentation of breast tumors in MRI with application to radiogenomics
J Zhang, A Saha, Z Zhu, MA Mazurowski
IEEE transactions on medical imaging 38 (2), 435-447, 2018
142018
Chinese text in the wild
TL Yuan, Z Zhu, K Xu, CJ Li, SM Hu
arXiv preprint arXiv:1803.00085, 2018
122018
Deep learning for identifying radiogenomic associations in breast cancer
Z Zhu, E Albadawy, A Saha, J Zhang, MR Harowicz, MA Mazurowski
Computers in biology and medicine 109, 85-90, 2019
102019
Panorama completion for street views
Z Zhu, RR Martin, SM Hu
Computational Visual Media 1 (1), 49-57, 2015
92015
3D modeling and motion parallax for improved videoconferencing
Z Zhu, RR Martin, R Pepperell, A Burleigh
Computational Visual Media 2 (2), 131-142, 2016
82016
Avoiding bleeding in image blending
M Wang, Z Zhu, S Zhang, R Martin, SM Hu
2017 IEEE International Conference on Image Processing (ICIP), 2139-2143, 2017
42017
Deep learning analysis of breast MRIs for prediction of occult invasive disease in ductal carcinoma in situ
Z Zhu, M Harowicz, J Zhang, A Saha, LJ Grimm, ES Hwang, ...
Computers in biology and medicine 115, 103498, 2019
32019
A large chinese text dataset in the wild
TL Yuan, Z Zhu, K Xu, CJ Li, TJ Mu, SM Hu
Journal of Computer Science and Technology 34 (3), 509-521, 2019
32019
Deep learning-based features of breast MRI for prediction of occult invasive disease following a diagnosis of ductal carcinoma in situ: preliminary data
Z Zhu, M Harowicz, J Zhang, A Saha, LJ Grimm, S Hwang, ...
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105752W, 2018
32018
Breast tumor segmentation in DCE-MRI using fully convolutional networks with an application in radiogenomics
J Zhang, A Saha, Z Zhu, MA Mazurowski
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105750U, 2018
32018
Breast cancer molecular subtype classification using deep features: preliminary results
Z Zhu, E Albadawy, A Saha, J Zhang, MR Harowicz, MA Mazurowski
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105752X, 2018
32018
Digital image processing through use of an image repository
Z Zhu, SD Cohen, BL Price
US Patent 10,339,642, 2019
22019
Digital image processing including refinement layer, search context data, or DRM
Z Zhu, SD Cohen, BL Price
US Patent 10,169,549, 2019
22019
Convolutional encoder-decoder for breast mass segmentation in digital breast tomosynthesis
J Zhang, SV Ghate, LJ Grimm, A Saha, EH Cain, Z Zhu, MA Mazurowski
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 105752V, 2018
22018
Breast mass detection in mammography and tomosynthesis via fully convolutional network-based heatmap regression
J Zhang, EH Cain, A Saha, Z Zhu, MA Mazurowski
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 1057525, 2018
22018
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Articles 1–20