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IEEE Transactions on Pattern Analysis and Machine Intelligence
|
October 30, 2018
Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling
Gil Shamai, Michael Zibulevsky, Ron Kimmel
The Lancet. Oncology
|
June 29, 2026
The intermediate-risk gap in AI-based breast cancer stratification - Authors' reply
Gil Shamai, Ron Kimmel, Dvir Aran
JAMA Network Open
|
July 27, 2019
Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer
Gil Shamai, Yoav Binenbaum, Ron Slossberg, et al.
Nature Communications
|
November 8, 2022
Deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer
Gil Shamai, Amir Livne, António Polónia, et al.
Pediatric Blood & Cancer
|
May 21, 2025
Prediction of B/T Subtype and ETV6-RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia by Deep Learning Analysis of Giemsa-Stained Whole Slide Images of Bone Marrow Aspirates
Arkadi Piven, Gil Shamai, Sarah Elitzur, et al.
Communications Medicine
|
December 20, 2024
Clinical utility of receptor status prediction in breast cancer and misdiagnosis identification using deep learning on hematoxylin and eosin-stained slides
Gil Shamai, Ran Schley, Alexandra Cretu, et al.
NPJ Breast Cancer
|
May 11, 2026
Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide images
Shachar Cohen, Gil Shamai, Edmond Sabo, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 15, 2025
Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit
Gil Shamai, Shachar Cohen, Yoav Binenbaum, et al.
The Lancet. Oncology
|
March 14, 2026
Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study
Gil Shamai, Shachar Cohen, Yoav Binenbaum, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 25, 2026
Development and Validation of a Multimodal Clinical, Pathologic, and Genomic Model for Breast Cancer Recurrence
Ngoc-Kim Nguyen, Anran Li, Sara Kochanny, et al.
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
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IEEE Transactions on Pattern Analysis and Machine Intelligence
|
October 30, 2018
Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling
Gil Shamai, Michael Zibulevsky, Ron Kimmel
The Lancet. Oncology
|
June 29, 2026
The intermediate-risk gap in AI-based breast cancer stratification - Authors' reply
Gil Shamai, Ron Kimmel, Dvir Aran
JAMA Network Open
|
July 27, 2019
Artificial Intelligence Algorithms to Assess Hormonal Status From Tissue Microarrays in Patients With Breast Cancer
Gil Shamai, Yoav Binenbaum, Ron Slossberg, et al.
Nature Communications
|
November 8, 2022
Deep learning-based image analysis predicts PD-L1 status from H&E-stained histopathology images in breast cancer
Gil Shamai, Amir Livne, António Polónia, et al.
Pediatric Blood & Cancer
|
May 21, 2025
Prediction of B/T Subtype and ETV6-RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia by Deep Learning Analysis of Giemsa-Stained Whole Slide Images of Bone Marrow Aspirates
Arkadi Piven, Gil Shamai, Sarah Elitzur, et al.
Communications Medicine
|
December 20, 2024
Clinical utility of receptor status prediction in breast cancer and misdiagnosis identification using deep learning on hematoxylin and eosin-stained slides
Gil Shamai, Ran Schley, Alexandra Cretu, et al.
NPJ Breast Cancer
|
May 11, 2026
Prediction of OncotypeDX recurrence score using hematoxylin and eosin-stained whole slide images
Shachar Cohen, Gil Shamai, Edmond Sabo, et al.
Medrxiv : the Preprint Server for Health Sciences
|
July 15, 2025
Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit
Gil Shamai, Shachar Cohen, Yoav Binenbaum, et al.
The Lancet. Oncology
|
March 14, 2026
Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study
Gil Shamai, Shachar Cohen, Yoav Binenbaum, et al.
Medrxiv : the Preprint Server for Health Sciences
|
May 25, 2026
Development and Validation of a Multimodal Clinical, Pathologic, and Genomic Model for Breast Cancer Recurrence
Ngoc-Kim Nguyen, Anran Li, Sara Kochanny, et al.
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