| 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 | 1025* | 2007 |
| 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: First …, 2016 | 182 | 2016 |
| 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 | 134 | 2011 |
| 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 | 107 | 2020 |
| 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 | 55 | 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 | 54 | 2015 |
| 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 | 51 | 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 | 38 | 2019 |
| 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 | 36 | 2019 |
| Detecting faint curved edges in noisy images S Alpert, M Galun, B Nadler, R Basri Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 32 | 2010 |
| Anomaly detection in medical imagery S Alpert, P Kisilev US Patent 9,704,059, 2017 | 30 | 2017 |
| 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 Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 28 | 2017 |
| A cross saliency approach to asymmetry-based tumor detection M Erihov, S Alpert, P Kisilev, S Hashoul Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th …, 2015 | 27 | 2015 |
| 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 | 27 | 2015 |
| 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 | 10 | 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 | 9 | 2016 |
| Catalog normalization and segmentation for fashion images A Neuberger, A Lorbert, A Poznanski, E Oks, S Alpert, B Hilleli US Patent 11,587,271, 2023 | 7 | 2023 |
| Unsupervised detection of abnormalities in medical images using salient features S Alpert, P Kisilev Medical Imaging 2014: Image Processing 9034, 295-300, 2014 | 7 | 2014 |
| Unsupervised asymmetry detection S Alpert, M Erihov, P Kisilev US Patent 9,940,731, 2018 | 5 | 2018 |
| Learning fashion traits with label uncertainty A Neuberger, S Alpert, E Alshan, N Bubis, E Oks | 4 | 2018 |
Ronen BasriProfessor of Computer Science, Weizmann Institute of ScienceZweryfikowany adres z weizmann.ac.il
