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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
1692019
Blind source separation via multinode sparse representation
M Zibulevsky, P Kisilev, Y Zeevi, B Pearlmutter
Advances in neural information processing systems 14, 2001
1252001
Feature-aware image defect removal
P Kisilev
US Patent 7,826,675, 2010
1192010
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
1002003
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
842018
Creating deep learning models using feature augmentation
P Kisilev
US Patent 10,373,073, 2019
812019
Fast mean shift by compact density representation
D Freedman, P Kisilev
2009 IEEE Conference on Computer Vision and Pattern Recognition, 1818-1825, 2009
802009
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
602018
Medical image description using multi-task-loss CNN
P Kisilev, E Sason, E Barkan, S Hashoul
Deep learning and data labeling for medical applications, 121-129, 2016
582016
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
362010
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
322015
Image processing based on local noise statistics
SH Lim, P Kisilev
US Patent 7,643,699, 2010
292010
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
Anomaly detection in medical imagery
S Alpert, P Kisilev
US Patent 9,704,059, 2017
282017
Print defect detection
P Kisilev, G Ruckenstein
US Patent 7,519,222, 2009
282009
Image processing using target values
P Kisilev, B Oicherman
US Patent App. 12/808,568, 2011
242011
Semantic Description of Medical Image Findings: Structured Learning Approach
P Kisilev, E Walach, S Hashoul, E Barkan, B Ophir, S Alpert
BMVC 2015, 2015
232015
Multiresolution framework for blind source separation
P Kisilev, M Zibulevsky, YY Zeevi, BA Pearlmutter
CCIT Report# 317, 2000
232000
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
222017
A cross saliency approach to asymmetry-based tumor detection
M Erihov, S Alpert, P Kisilev, S Hashoul
International Conference on Medical Image Computing and Computer-Assisted …, 2015
222015
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