Ayelet Akselrod-Ballin

24 papers Misc 1Journal 9Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep active learning framework for chest-abdominal CT scans segmentation.
Expert Syst. Appl.
Lital Rokach, Yehudit Aperstein, Ayelet Akselrod-Ballin
2022 Misc conf
Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment.
AMIA
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
2022 J jnl
Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography.
Comput. Methods Programs Biomed.
Raouf Muhamedrahimov, Amir Bar, Jonathan Laserson, Ayelet Akselrod-Ballin, Eldad Elnekave
2021 — conf
Learning Interclass Relations for Intravenous Contrast Phase Classification in CT.
MIDL
Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin
2020 — conf
3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT.
MICCAI (6)
David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar
2020 J jnl
3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT.
CoRR
David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar
2020 J jnl
Learning Interclass Relations for Image Classification.
CoRR
Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin
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 J jnl
A CNN based method for automatic mass detection and classification in mammograms.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan
2018 J jnl
Mammography Dual View Mass Correspondence.
CoRR
Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin
2018 — conf
Siamese Network for Dual-View Mammography Mass Matching.
RAMBO+BIA+TIA@MICCAI
Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin
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
2017 — conf
Domain specific convolutional neural nets for detection of architectural distortion in mammograms.
ISBI
Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul
2017 — conf
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network.
VCBM
Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev
2016 — conf
A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography.
LABELS/DLMIA@MICCAI
Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan
2014 — conf
Sequence alignment of in-utero fetal tissue MRI in mice.
ISBI
Ayelet Akselrod-Ballin, Reut Avni, Michal Neeman
2011 J jnl
Accelerating Image Registration With the Johnson-Lindenstrauss Lemma: Application to Imaging 3-D Neural Ultrastructure With Electron Microscopy.
IEEE Trans. Medical Imaging
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield
2009 — conf
Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma.
MICCAI (1)
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield
2009 J jnl
Automatic Segmentation and Classification of Multiple Sclerosis in Multichannel MRI.
IEEE Trans. Biomed. Eng.
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Massimo Filippi, Paola Valsasina, Ronen Basri, Achi Brandt
2009 — conf
Improved Registration for Large Electron Microscopy Images.
ISBI
Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield
2008 J jnl
Distinctive and compact features.
Image Vis. Comput.
Ayelet Akselrod-Ballin, Shimon Ullman
2007 — conf
Prior Knowledge Driven Multiscale Segmentation of Brain MRI.
MICCAI (2)
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Achi Brandt, Ronen Basri
2006 — conf
An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis.
CVPR (1)
Ayelet Akselrod-Ballin, Meirav Galun, Ronen Basri, Achi Brandt, Moshe John Gomori, Massimo Filippi, Paola Valsasina
2006 — conf
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification.
MICCAI (2)
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Ronen Basri, Achi Brandt