Lesion classification using clinical and visual data fusion by multiple kernel learning. - Pavel Kisilev; Sharbell Y. Hashoul; Eugene Walach; Asaf Tzadok (Computer-Aided Diagnosis, 2014)

Semantic description of medical image findings: structured learning approach. - Pavel Kisilev; Eugene Walach; Sharbell Y. Hashoul; Ella Barkan; Boaz Ophir; Sharon Alpert (BMVC, 2015)

Automatic Dual-View Mass Detection in Full-Field Digital Mammograms. - Guy Amit; Sharbell Y. Hashoul; Pavel Kisilev; Boaz Ophir; Eugene Walach; Aviad Zlotnick (MICCAI (2), 2015)

A Cross Saliency Approach to Asymmetry-Based Tumor Detection. - Miri Erihov; Sharon Alpert; Pavel Kisilev; Sharbell Y. Hashoul (MICCAI (3), 2015)

Multi-atlas based segmentation of multiple organs in breast MRI. - Xi Liang 001; Suman Sedai; Hongzhi Wang 002; Sisi Liang; Naveed Hashmi; Patrick McNeillie; Sharbell Y. Hashoul (Image Processing, 2015)

From medical image to automatic medical report generation. - Pavel Kisilev; Eugene Walach; Ella Barkan; Boaz Ophir; Sharon Alpert; Sharbell Y. Hashoul (IBM J. Res. Dev., 2015)

A weakly labeled approach for breast tissue segmentation and breast density estimation in digital mammography. - Rami Ben-Ari; Aviad Zlotnick; Sharbell Y. Hashoul (ISBI, 2016)

Medical sieve: a cognitive assistant for radiologists and cardiologists. - Tanveer F. Syeda-Mahmood; Eugene Walach; David Beymer; Flora Gilboa-Solomon; Mehdi Moradi; Pavel Kisilev; Deepika Kakrania; Colin B. Compas; Hongzhi Wang 002; Mohammadreza Negahdar; Yu Cao; Tyler Baldwin; et al. (Computer-Aided Diagnosis, 2016)

A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography. - Ayelet Akselrod-Ballin; Leonid Karlinsky; Sharon Alpert; Sharbell Y. Hasoul; Rami Ben-Ari; Ella Barkan (LABELS/DLMIA@MICCAI, 2016)

Medical Image Description Using Multi-task-loss CNN. - Pavel Kisilev; Eli Sason; Ella Barkan; Sharbell Y. Hashoul (LABELS/DLMIA@MICCAI, 2016)

Domain specific convolutional neural nets for detection of architectural distortion in mammograms. - Rami Ben-Ari; Ayelet Akselrod-Ballin; Leonid Karlinsky; Sharbell Y. Hashoul (ISBI, 2017)

Classification of breast lesions using cross-modal deep learning. - Omer Hadad; Ran Bakalo; Rami Ben-Ari; Sharbell Y. Hashoul; Guy Amit (ISBI, 2017)

Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches. - Guy Amit; Rami Ben-Ari; Omer Hadad; Einat Monovich; Noa Granot; Sharbell Y. Hashoul (Computer-Aided Diagnosis, 2017)

Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. - Guy Amit; Omer Hadad; Sharon Alpert; Tal Tlusty; Yaniv Gur; Rami Ben-Ari; Sharbell Y. Hashoul (MICCAI (3), 2017)

Computational mammography using deep neural networks. - Anastasia Dubrovina; Pavel Kisilev; Boris Ginsburg; Sharbell Y. Hashoul; Ron Kimmel (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

A CNN based method for automatic mass detection and classification in mammograms. - Ayelet Akselrod-Ballin; Leonid Karlinsky; Sharon Alpert; Sharbell Y. Hasoul; Rami Ben-Ari; Ella Barkan (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019)