Sharon Alpert
Sharon Alpert
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Cited by
Cited by
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
S. Alpert, M. Galun, R. Basri and A. Brandt
2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007
Aware object detection and pose estimation
D Glasner, M Galun, S Alpert, R Basri, G Shakhnarovich
2011 International Conference on Computer Vision, 1275-1282, 2011
A region based convolutional network for tumor detection and classification in breast mammography
A Akselrod-Ballin, L Karlinsky, S Alpert, S Hasoul, R Ben-Ari, E Barkan
Deep learning and data labeling for medical applications, 197-205, 2016
aware object detection and continuous pose estimation
D Glasner, M Galun, S Alpert, R Basri, G Shakhnarovich
Image and Vision Computing 30 (12), 923-933, 2012
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
Hybrid mass detection in breast MRI combining unsupervised saliency analysis and deep learning
G Amit, O Hadad, S Alpert, T Tlusty, Y Gur, R Ben-Ari, S Hashoul
International conference on medical image computing and computer-assisted …, 2017
Detecting faint curved edges in noisy images
S Alpert, M Galun, B Nadler, R Basri
European Conference on Computer vision, 750-763, 2010
Using image analytics to monitor retail store shelves
M Marder, S Harary, A Ribak, Y Tzur, S Alpert, A Tzadok
IBM Journal of Research and Development 59 (2/3), 3: 1-3: 11, 2015
Anomaly detection in medical imagery
S Alpert, P Kisilev
US Patent 9,704,059, 2017
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
A CNN based method for automatic mass detection and classification in mammograms
A Akselrod-Ballin, L Karlinsky, S Alpert, S Hashoul, R Ben-Ari, E Barkan
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019
Semantic description of medical image findings: structured learning approach.
P Kisilev, E Walach, SY Hashoul, E Barkan, B Ophir, S Alpert
BMVC, 171.1-171.11, 2015
Deep Learning and Data Labeling for Medical Applications
A Akselrod-Ballin, L Karlinsky, S Alpert, S Hasoul, R Ben-Ari, E Barkan, ...
Athens: Springer, 2016
Method of detecting global motion and global motion detector, and digital image stabilization (DIS) method and circuit including the same
S Alpert, Y Jeong, O Govrin
US Patent 9,025,885, 2015
Image based virtual try-on network from unpaired data
A Neuberger, E Borenstein, B Hilleli, E Oks, S Alpert
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
On detection of faint edges in noisy images
N Ofir, M Galun, S Alpert, A Brandt, B Nadler, R Basri
IEEE transactions on pattern analysis and machine intelligence 42 (4), 894-908, 2019
Unsupervised detection of abnormalities in medical images using salient features
S Alpert, P Kisilev
Medical Imaging 2014: Image Processing 9034, 903416, 2014
Unsupervised asymmetry detection
S Alpert, M Erihov, P Kisilev
US Patent 9,940,731, 2018
Learning fashion traits with label uncertainty
A Neuberger, E Alshan, G Levi, S Alpert, E Oks
Proceedings of KDD workshop Machine learning meets fashion, 2017
Method for selecting a matching block
S Alpert, D Gluck, O Govrin
US Patent 9,674,543, 2017
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