Ayelet Akselrod-Ballin

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 14

Top Topics

Computed Tomography

Tumor Detection

Top Venues

LABELS/DLMIA@MICCAI

Publications

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
Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment. AMIA (2022)
Raouf Muhamedrahimov, Amir Bar, Jonathan Laserson, Ayelet Akselrod-Ballin, Eldad Elnekave
Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography. Comput. Methods Programs Biomed. 215 (2022)
Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin
Learning Interclass Relations for Intravenous Contrast Phase Classification in CT. MIDL (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)
David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar
3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT. CoRR (2020)
David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar
3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT. MICCAI (6) (2020)
Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin
Learning Interclass Relations for Image Classification. CoRR (2020)
Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan
A CNN based method for automatic mass detection and classification in mammograms. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 7 (3) (2019)
Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin
Siamese Network for Dual-View Mammography Mass Matching. RAMBO+BIA+TIA@MICCAI (2018)
Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin
Mammography Dual View Mass Correspondence. CoRR (2018)
Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul
Domain specific convolutional neural nets for detection of architectural distortion in mammograms. ISBI (2017)
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)
Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network. VCBM (2017)
Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography. LABELS/DLMIA@MICCAI (2016)
Ayelet Akselrod-Ballin, Reut Avni, Michal Neeman
Sequence alignment of in-utero fetal tissue MRI in mice. ISBI (2014)
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield
Accelerating Image Registration With the Johnson-Lindenstrauss Lemma: Application to Imaging 3-D Neural Ultrastructure With Electron Microscopy. IEEE Trans. Medical Imaging 30 (7) (2011)
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield
Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma. MICCAI (1) (2009)
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield
Improved Registration for Large Electron Microscopy Images. ISBI (2009)
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Massimo Filippi, Paola Valsasina, Ronen Basri, Achi Brandt
Automatic Segmentation and Classification of Multiple Sclerosis in Multichannel MRI. IEEE Trans. Biomed. Eng. 56 (10) (2009)
Ayelet Akselrod-Ballin, Shimon Ullman
Distinctive and compact features. Image Vis. Comput. 26 (9) (2008)
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Achi Brandt, Ronen Basri
Prior Knowledge Driven Multiscale Segmentation of Brain MRI. MICCAI (2) (2007)
Ayelet Akselrod-Ballin, Meirav Galun, Ronen Basri, Achi Brandt, Moshe John Gomori, Massimo Filippi, Paola Valsasina
An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis. CVPR (1) (2006)
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Ronen Basri, Achi Brandt
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification. MICCAI (2) (2006)