Eldad Elnekave

According to our database, Eldad Elnekave authored at least 9 papers between 2005 and 2022.

Collaborative distances:

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

2022

Improving Cardiovascular Disease Prediction Using Automated Coronary Artery Calcium Scoring from Existing Chest CTs.

Noam Barda, Noa Dagan, Amos Stemmer, Janni Yuval, Eitan Bachmat, Eldad Elnekave, Ran D. Balicer

J. Digit. Imaging, 2022

Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography.

Raouf Muhamedrahimov, Amir Bar, Jonathan Laserson, Ayelet Akselrod-Ballin, Eldad Elnekave

Comput. Methods Programs Biomed., 2022

2019

PHT-bot: a deep learning based system for automatic risk stratification of COPD patients based upon signs of pulmonary hypertension.

David Chettrit, Orna Bregman-Amitai, Itamar Tamir, Amir Bar, Eldad Elnekave

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Improved ICH Classification Using Task-Dependent Learning.

Amir Bar, Michal Mauda Havakuk, Yoni Turner, Michal Safadi, Eldad Elnekave

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-Rays.

Jonathan Laserson, Christine Dan Lantsman, Michal Cohen-Sfady, Itamar Tamir, Eli Goz, Chen Brestel, Shir Bar, Maya Atar, Eldad Elnekave

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Fully-convolutional deep-learning based system for coronary calcium score prediction from non-contrast chest CT.

Ran Shadmi, Victoria Mazo, Orna Bregman-Amitai, Eldad Elnekave

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017

Malignancy Detection on Mammography Using Dual Deep Convolutional Neural Networks and Genetically Discovered False Color Input Enhancement.

Philip Teare, Michael Fishman, Oshra Benzaquen, Eyal Toledano, Eldad Elnekave

J. Digit. Imaging, 2017

Compression fractures detection on CT.

Amir Bar, Lior Wolf, Orna Bergman Amitai, Eyal Toledano, Eldad Elnekave

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

2005

High-Throughput GoMiner, an 'industrial-strength' integrative gene ontology tool for interpretation of multiple-microarray experiments, with application to studies of Common Variable Immune Deficiency (CVID).

Barry Zeeberg, Haiying Qin, Sudarshan Narasimhan, Margot Sunshine, Hong Cao, David W. Kane, Mark Reimers, Robert M. Stephens, David Bryant, Stanley K. Burt, Eldad Elnekave, Danielle M. Hari, Thomas A. Wynn, Charlotte Cunningham-Rundles, Donn M. Stewart, David Nelson, John N. Weinstein

BMC Bioinform., 2005