Sharbell Y. Hashoul

According to our database, Sharbell Y. Hashoul authored at least 16 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

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

2018

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 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

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Classification of breast lesions using cross-modal deep learning.

Omer Hadad, Ran Bakalo, Rami Ben-Ari, Sharbell Y. Hashoul, Guy Amit

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Domain specific convolutional neural nets for detection of architectural distortion in mammograms.

Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

Medical Image Description Using Multi-task-loss CNN.

Pavel Kisilev, Eli Sason, Ella Barkan, Sharbell Y. Hashoul

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 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

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 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, 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

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

A weakly labeled approach for breast tissue segmentation and breast density estimation in digital mammography.

Rami Ben-Ari, Aviad Zlotnick, Sharbell Y. Hashoul

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

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

Multi-atlas based segmentation of multiple organs in breast MRI.

Xi Liang, Suman Sedai, Hongzhi Wang, Sisi Liang, Naveed Hashmi, Patrick McNeillie, Sharbell Y. Hashoul

Proceedings of the Medical Imaging 2015: Image Processing, 2015

A Cross Saliency Approach to Asymmetry-Based Tumor Detection.

Miri Erihov, Sharon Alpert, Pavel Kisilev, Sharbell Y. Hashoul

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Automatic Dual-View Mass Detection in Full-Field Digital Mammograms.

Guy Amit, Sharbell Y. Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Semantic description of medical image findings: structured learning approach.

Pavel Kisilev, Eugene Walach, Sharbell Y. Hashoul, Ella Barkan, Boaz Ophir, Sharon Alpert

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Lesion classification using clinical and visual data fusion by multiple kernel learning.

Pavel Kisilev, Sharbell Y. Hashoul, Eugene Walach, Asaf Tzadok

Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014