The scanline principle: efficient conversion of display algorithms into scanline mode. - Ella Barkan; Dan Gordon 001 (Vis. Comput., 1999)

CP3: Robust, Output-sensitive Display of Convex Polyhedra in Scanline Mode. - Ella Barkan; Dan Gordon 001 (Comput. Graph. Forum, 2001)

A Generic Form Processing Approach for Large Variant Templates. - Yaakov Navon; Ella Barkan; Boaz Ophir (ICDAR, 2009)

Detection and Segmentation of Antialiased Text in Screen Images. - Sivan Gleichman; Boaz Ophir; Amir Geva; Mattias Marder; Ella Barkan; Eli Packer (ICDAR, 2011)

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

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 (DLMIA/ML-CDS@MICCAI, 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 (VCBM, 2017)

Siamese Network for Dual-View Mammography Mass Matching. - Shaked Perek; Alon Hazan; Ella Barkan; Ayelet Akselrod-Ballin (RAMBO+BIA+TIA@MICCAI, 2018)

Mammography Dual View Mass Correspondence. - Shaked Perek; Alon Hazan; Ella Barkan; Ayelet Akselrod-Ballin (CoRR, 2018)

Learning from Longitudinal Mammography Studies. - Shaked Perek; Lior Ness; Mika Amit; Ella Barkan; Guy Amit (MICCAI (6), 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)

Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations. - Lior Ness; Ella Barkan; Michal Ozery-Flato (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes. - Yoel Shoshan; Aviad Zlotnick; Vadim Ratner; Daniel Khapun; Ella Barkan; Flora Gilboa-Solomon (MICCAI (5), 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 (MLMI@MICCAI, 2021)

Lessons from the first DBTex Challenge. - Jungkyu Park 001; 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; et al. (Nat. Mach. Intell., 2021)

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 (AMIA, 2022)

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; et al. (CoRR, 2024)

Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin. - Ella Barkan; Ibrahim Siddiqui; Kevin J. Cheng; Alex Golts; Yoel Shoshan; Jeffrey K. Weber; Yailin Campos Mota; Michal Ozery-Flato; Giuseppe A. Sautto (CoRR, 2025)

BMFM-RNA: An Open Framework for Building and Evaluating Transcriptomic Foundation Models. - Bharath Dandala; Michael M. Danziger; Ella Barkan; Tanwi Biswas; Viatcheslav Gurev; Jianying Hu; Matthew Madgwick; Akira Koseki; Tal Kozlovski; Michal Rosen-Zvi; Yishai Shimoni; Ching-Huei Tsou (CoRR, 2025)