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Pavel Kisilev, PhD
Pavel Kisilev, PhD
CTO AI, Huawei Tel Aviv Research Center
Verified email at huawei.com
Title
Cited by
Cited by
Year
Low-bit quantization of neural networks for efficient inference
Y Choukroun, E Kravchik, F Yang, P Kisilev
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW …, 2019
3242019
Blind source separation via multinode sparse representation
M Zibulevsky, P Kisilev, Y Zeevi, B Pearlmutter
Advances in neural information processing systems 14, 2001
1262001
Feature-aware image defect removal
P Kisilev
US Patent 7,826,675, 2010
1222010
Creating deep learning models using feature augmentation
P Kisilev
US Patent 10,373,073, 2019
1162019
Computational mammography using deep neural networks
A Dubrovina, P Kisilev, B Ginsburg, S Hashoul, R Kimmel
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018
1132018
A multiscale framework for blind separation of linearly mixed signals
P Kisilev, M Zibulevsky, YY Zeevi
The Journal of Machine Learning Research 4, 1339-1363, 2003
1012003
Medical image description using multi-task-loss CNN
P Kisilev, E Sason, E Barkan, S Hashoul
Deep Learning and Data Labeling for Medical Applications: First …, 2016
912016
Fast mean shift by compact density representation
D Freedman, P Kisilev
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1818-1825, 2009
862009
Deep learning for decoding of linear codes-a syndrome-based approach
A Bennatan, Y Choukroun, P Kisilev
2018 IEEE International Symposium on Information Theory (ISIT), 1595-1599, 2018
842018
From medical image to automatic medical report generation
P Kisilev, E Walach, E Barkan, B Ophir, S Alpert, SY Hashoul
IBM Journal of Research and Development 59 (2/3), 2: 1-2: 7, 2015
472015
Object-to-object color transfer: Optimal flows and smsp transformations
D Freedman, P Kisilev
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
402010
Print defect detection
P Kisilev, G Ruckenstein
US Patent 7,519,222, 2009
352009
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network.
Y Choukroun, R Bakalo, R Ben-Ari, A Akselrod-Ballin, E Barkan, P Kisilev
VCBM, 11-19, 2017
322017
Systems and methods for automatic detection of an indication of abnormality in an anatomical image
A Akselrod-Ballin, R Bakalo, R Ben-Ari, Y Choukroun, P Kisilev
US Patent 10,878,569, 2020
312020
Image processing based on local noise statistics
SH Lim, P Kisilev
US Patent 7,643,699, 2010
312010
Anomaly detection in medical imagery
S Alpert, P Kisilev
US Patent 9,704,059, 2017
292017
Independent Components Analysis: Principles and Practice, ch. Blind source separation by sparse decomposition in a signal dictionary
M Zibulevsky, B Pearlmutter, P Bofill, P Kisilev
Cambridge University Press, 2000
292000
Image processing using target values
P Kisilev, B Oicherman
US Patent App. 12/808,568, 2011
272011
Semantic Description of Medical Image Findings: Structured Learning Approach
P Kisilev, E Walach, S Hashoul, E Barkan, B Ophir, S Alpert
BMVC 2015, 2015
262015
Automatic visual inspection and defect detection on variable data prints
M Vans, S Schein, C Staelin, P Kisilev, S Simske, R Dagan, S Harush
Journal of Electronic Imaging 20 (1), 013010-013010-13, 2011
262011
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