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Sharbell Y. Hashoul
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2010 – 2019
- 2019
- [j3]Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan:
A CNN based method for automatic mass detection and classification in mammograms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7(3): 242-249 (2019) - 2018
- [j2]Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbell Y. Hashoul, Ron Kimmel:
Computational mammography using deep neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 243-247 (2018) - 2017
- [c13]Omer Hadad, Ran Bakalo, Rami Ben-Ari, Sharbell Y. Hashoul, Guy Amit:
Classification of breast lesions using cross-modal deep learning. ISBI 2017: 109-112 - [c12]Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul:
Domain specific convolutional neural nets for detection of architectural distortion in mammograms. ISBI 2017: 552-556 - [c11]Guy Amit, Rami Ben-Ari, Omer Hadad, Einat Monovich, Noa Granot, Sharbell Y. Hashoul:
Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches. Computer-Aided Diagnosis 2017: 101341H - [c10]Guy Amit, Omer Hadad, Sharon Alpert, Tal Tlusty, Yaniv Gur, Rami Ben-Ari, Sharbell Y. Hashoul:
Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. MICCAI (3) 2017: 594-602 - 2016
- [c9]Rami Ben-Ari, Aviad Zlotnick, Sharbell Y. Hashoul:
A weakly labeled approach for breast tissue segmentation and breast density estimation in digital mammography. ISBI 2016: 722-725 - [c8]Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen
, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul:
Medical sieve: a cognitive assistant for radiologists and cardiologists. Computer-Aided Diagnosis 2016: 97850A - [c7]Pavel Kisilev, Eli Sason, Ella Barkan, Sharbell Y. Hashoul:
Medical Image Description Using Multi-task-loss CNN. LABELS/DLMIA@MICCAI 2016: 121-129 - [c6]Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan:
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography. LABELS/DLMIA@MICCAI 2016: 197-205 - 2015
- [j1]Pavel Kisilev, Eugene Walach, Ella Barkan, Boaz Ophir, Sharon Alpert, Sharbell Y. Hashoul:
From medical image to automatic medical report generation. IBM J. Res. Dev. 59(2/3) (2015) - [c5]Pavel Kisilev, Eugene Walach, Sharbell Y. Hashoul, Ella Barkan, Boaz Ophir, Sharon Alpert:
Semantic description of medical image findings: structured learning approach. BMVC 2015: 171.1-171.11 - [c4]Guy Amit, Sharbell Y. Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick:
Automatic Dual-View Mass Detection in Full-Field Digital Mammograms. MICCAI (2) 2015: 44-52 - [c3]Miri Erihov, Sharon Alpert, Pavel Kisilev, Sharbell Y. Hashoul:
A Cross Saliency Approach to Asymmetry-Based Tumor Detection. MICCAI (3) 2015: 636-643 - [c2]Xi Liang, Suman Sedai
Multi-atlas based segmentation of multiple organs in breast MRI. Image Processing 2015: 94133R - 2014
- [c1]Pavel Kisilev, Sharbell Y. Hashoul, Eugene Walach, Asaf Tzadok:
Lesion classification using clinical and visual data fusion by multiple kernel learning. Computer-Aided Diagnosis 2014: 90351C
Coauthor Index
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