Yoel Shoshan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 13

Top Topics

Labeled Instances

Machine Learning

Automated Segmentation

Top Venues

DLMIA/ML-CDS@MICCAI

Nat. Mach. Intell.

J. Chem. Inf. Model.

Publications

Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter
A large dataset curation and benchmark for drug target interaction. CoRR (2024)
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 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 Weight
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. CoRR (2023)
Alex Golts, Moshe Raboh, Yoel Shoshan, Sagi Polaczek, Simona Rabinovici-Cohen, Efrat Hexter
FuseMedML: a framework for accelerated discovery in machine learning based biomedicine. J. Open Source Softw. 8 (81) (2023)
Jannis Born, Yoel Shoshan, Tien Huynh, Wendy D. Cornell, Eric J. Martin, Matteo Manica
On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction. J. Chem. Inf. Model. 62 (18) (2022)
Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon
An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans. KiTS@MICCAI (2021)
Yoel Shoshan, Aviad Zlotnick, Vadim Ratner, Daniel Khapun, Ella Barkan, Flora Gilboa-Solomon
Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes. MICCAI (5) (2021)
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
Lessons from the first DBTex Challenge. Nat. Mach. Intell. 3 (8) (2021)
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
The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net. MICCAI (6) (2020)
Rami Ben-Ari, Yoel Shoshan, Tal Tlusty
Mammogram Classification with Ordered Loss. AIME (2019)
Alon Hazan, Yoel Shoshan, Daniel Khapun, Roy Aladjem, Vadim Ratner
AdapterNet - learning input transformation for domain adaptation. CoRR (2018)
Vadim Ratner, Yoel Shoshan, Tal Kachman
Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels. CoRR (2018)
Yoel Shoshan, Vadim Ratner
Regularized adversarial examples for model interpretability. CoRR (2018)
Ayelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan
Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography. DLMIA/ML-CDS@MICCAI (2017)