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 | 863* | 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 | 117 | 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 | 92 | 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 | 46 | 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 | 25 | 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 | 24 | 2017 |
Detecting faint curved edges in noisy images S Alpert, M Galun, B Nadler, R Basri European Conference on Computer vision, 750-763, 2010 | 24 | 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 | 23 | 2015 |
Anomaly detection in medical imagery S Alpert, P Kisilev US Patent 9,704,059, 2017 | 21 | 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 | 17 | 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 | 16 | 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 | 15 | 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 | 11 | 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 | 9 | 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 | 8 | 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 | 8 | 2019 |
Unsupervised detection of abnormalities in medical images using salient features S Alpert, P Kisilev Medical Imaging 2014: Image Processing 9034, 903416, 2014 | 7 | 2014 |
Unsupervised asymmetry detection S Alpert, M Erihov, P Kisilev US Patent 9,940,731, 2018 | 4 | 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 | 3 | 2017 |
Method for selecting a matching block S Alpert, D Gluck, O Govrin US Patent 9,674,543, 2017 | 2 | 2017 |