Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

A. Akselrod-Ballin, L. Karlinsky, A. Hazan, R. Bakalo, A. Horesh, Y. Shoshan, and E. Barkan. DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 321-329. Springer, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mejeris Yoelsas

Other publications of authors with the same name

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT.N. Heller, F. Isensee, D. Trofimova, R. Tejpaul, Z. Zhao, H. Chen, L. Wang, A. Golts, D. Khapun, D. Shats and 35 other author(s). CoRR, (2023)An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans.A. Golts, D. Khapun, D. Shats, Y. Shoshan, and F. Gilboa-Solomon. KiTS@MICCAI, volume 13168 of Lecture Notes in Computer Science, page 103-115. Springer, (2021)AdapterNet - learning input transformation for domain adaptation.A. Hazan, Y. Shoshan, D. Khapun, R. Aladjem, and V. Ratner. CoRR, (2018)Mammogram Classification with Ordered Loss.R. Ben-Ari, Y. Shoshan, and T. Tlusty. AIME, volume 11526 of Lecture Notes in Computer Science, page 67-76. Springer, (2019)A large dataset curation and benchmark for drug target interaction.A. Golts, V. Ratner, Y. Shoshan, M. Raboh, S. Polaczek, M. Ozery-Flato, D. Shats, L. Hazan, S. Ravid, and E. Hexter. CoRR, (2024)Learning multiple non-mutually-exclusive tasks for improved classification of inherently ordered labels.V. Ratner, Y. Shoshan, and T. Kachman. CoRR, (2018)Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes.Y. Shoshan, A. Zlotnick, V. Ratner, D. Khapun, E. Barkan, and F. Gilboa-Solomon. MICCAI (5), volume 12905 of Lecture Notes in Computer Science, page 772-781. Springer, (2021)Regularized adversarial examples for model interpretability.Y. Shoshan, and V. Ratner. CoRR, (2018)The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net.M. Chorev, Y. Shoshan, A. Akselrod-Ballin, A. Spiro, S. Naor, A. Hazan, V. Barros, I. Weinstein, E. Herzel, V. Shalev and 2 other author(s). MICCAI (6), volume 12266 of Lecture Notes in Computer Science, page 220-229. Springer, (2020)Lessons from the first DBTex Challenge.J. Park, Y. Shoshan, R. Martí, P. del Campo, V. Ratner, D. Khapun, A. Zlotnick, E. Barkan, F. Gilboa-Solomon, J. Chledowski and 22 other author(s). Nat. Mach. Intell., 3 (8): 735-736 (2021)

BibSonomy

Disambiguation of "Shoshan, Yoel"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

Please choose a person to relate this publication to

Mejeris Yoelsas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Shoshan, Yoel"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography.

Please choose a person to relate this publication to

Mejeris Yoelsas

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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