Ella Barkan

According to our database, Ella Barkan authored at least 20 papers between 1999 and 2024.

Collaborative distances:

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

2024

MAMMAL - Molecular Aligned Multi-Modal Architecture and Language.

Yoel Shoshan, Moshiko Raboh, Michal Ozery-Flato, Vadim Ratner, Alex Golts, Jeffrey K. Weber, Ella Barkan, Simona Rabinovici-Cohen, Sagi Polaczek, Ido Amos, Ben Shapira, Liam Hazan, Matan Ninio, Sivan Ravid, Michael M. Danziger, Joseph A. Morrone, Parthasarathy Suryanarayanan, Michal Rosen-Zvi, Efrat Hexter

CoRR, 2024

2022

Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment.

Michal Chorev, Vesna Resende Barros, Adam Spiro, Ella Evron, Ella Barkan, Oren Kagan, Mika Amit, Michal Ozery-Flato, Ayelet Akselrod-Ballin, Varda Shalev, Michal Rosen-Zvi, Michal Guindy

Proceedings of the AMIA 2022, 2022

2021

Lessons from the first DBTex Challenge.

Jungkyu Park, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chledowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras

Nat. Mach. Intell., 2021

Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms.

Tal Tlusty, Michal Ozery-Flato, Vesna Resende Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazi, Mona Rozin, Michal Rosen-Zvi, Efrat Hexter

Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes.

Yoel Shoshan, Aviad Zlotnick, Vadim Ratner, Daniel Khapun, Ella Barkan, Flora Gilboa-Solomon

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations.

Lior Ness, Ella Barkan, Michal Ozery-Flato

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

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

Learning from Longitudinal Mammography Studies.

Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Mammography Dual View Mass Correspondence.

Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin

CoRR, 2018

Siamese Network for Dual-View Mammography Mass Matching.

Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017

Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network.

Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography.

Ayelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 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

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

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

2011

Detection and Segmentation of Antialiased Text in Screen Images.

Sivan Gleichman, Boaz Ophir, Amir Geva, Mattias Marder, Ella Barkan, Eli Packer

Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2009

A Generic Form Processing Approach for Large Variant Templates.

Yaakov Navon, Ella Barkan, Boaz Ophir

Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

2001

CP3: Robust, Output-sensitive Display of Convex Polyhedra in Scanline Mode.

Ella Barkan, Dan Gordon

Comput. Graph. Forum, 2001

1999

The scanline principle: efficient conversion of display algorithms into scanline mode.

Ella Barkan, Dan Gordon

Vis. Comput., 1999