Yoel Shoshan - RankMe

15 papers B 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin. CoRR Ella Barkan, Ibrahim Siddiqui, Kevin J. Cheng, Alex Golts, Yoel Shoshan, Jeffrey K. Weber, Yailin Campos Mota, Michal Ozery-Flato, Giuseppe A. Sautto
2024	J	`jnl`	A large dataset curation and benchmark for drug target interaction. CoRR Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter
2024	J	`jnl`	MAMMAL - Molecular Aligned Multi-Modal Architecture and Language. CoRR 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
2023	J	`jnl`	FuseMedML: a framework for accelerated discovery in machine learning based biomedicine. J. Open Source Softw. Alex Golts, Moshe Raboh, Yoel Shoshan, Sagi Polaczek, Simona Rabinovici-Cohen, Efrat Hexter
2023	J	`jnl`	The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. CoRR Nicholas Heller, Fabian Isensee, Dasha Trofimova, Resha Tejpaul, Zhongchen Zhao, Huai Chen, Lisheng Wang, Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon, Yasmeen M. George, Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia, Mengran Wu, Zhiyang Liu, Edward Walczak, Seán McSweeney, Ranveer Vasdev, Chris Hornung, Rafat Solaiman, Jamee Schoephoerster, Bailey Abernathy, David Wu, Safa Abdulkadir, Ben Byun, Justice Spriggs, Griffin Struyk, Alexandra Austin, Ben Simpson, Michael Hagström, Sierra Virnig, John French, Nitin Venkatesh, Sarah Chan, Keenan Moore, Anna Jacobsen, Susan Austin, Mark Austin, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher J. Weight
2022	J	`jnl`	On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction. J. Chem. Inf. Model. Jannis Born, Yoel Shoshan, Tien Huynh, Wendy D. Cornell, Eric J. Martin, Matteo Manica
2021	—	`conf`	An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans. KiTS@MICCAI Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon
2021	—	`conf`	Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes. MICCAI (5) Yoel Shoshan, Aviad Zlotnick, Vadim Ratner, Daniel Khapun, Ella Barkan, Flora Gilboa-Solomon
2021	J	`jnl`	Lessons from the first DBTex Challenge. Nat. Mach. Intell. 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 E. 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
2020	—	`conf`	The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net. MICCAI (6) Michal Chorev, Yoel Shoshan, Ayelet Akselrod-Ballin, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Resende Barros, Iuliana Weinstein, Esma Herzel, Varda Shalev, Michal Guindy, Michal Rosen-Zvi
2019	B	`conf`	Mammogram Classification with Ordered Loss. AIME Rami Ben-Ari, Yoel Shoshan, Tal Tlusty
2018	J	`jnl`	AdapterNet - learning input transformation for domain adaptation. CoRR Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner
2018	J	`jnl`	Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels. CoRR Vadim Ratner, Yoel Shoshan, Tal Kachman
2018	J	`jnl`	Regularized adversarial examples for model interpretability. CoRR Yoel Shoshan, Vadim Ratner
2017	—	`conf`	Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography. DLMIA/ML-CDS@MICCAI Ayelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan