Ayelet Akselrod-Ballin

According to our database, Ayelet Akselrod-Ballin authored at least 23 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep active learning framework for chest-abdominal CT scans segmentation.

Lital Rokach, Yehudit Aperstein, Ayelet Akselrod-Ballin

Expert Syst. Appl., 2025

2022

Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography.

Raouf Muhamedrahimov, Amir Bar, Jonathan Laserson, Ayelet Akselrod-Ballin, Eldad Elnekave

Comput. Methods Programs Biomed., 2022

Leveraging Comprehensive Health Records for Breast Cancer Risk Prediction: A Binational Assessment.

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

Proceedings of the AMIA 2022, 2022

2021

Learning Interclass Relations for Intravenous Contrast Phase Classification in CT.

Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Learning Interclass Relations for Image Classification.

Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin

CoRR, 2020

The Case of Missed Cancers: Applying AI as a Radiologist's Safety Net.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT.

David Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

A CNN based method for automatic mass detection and classification in mammograms.

Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019

2018

Mammography Dual View Mass Correspondence.

Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin

CoRR, 2018

Siamese Network for Dual-View Mammography Mass Matching.

Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin

Proceedings of the Image Analysis for Moving Organ, Breast, and Thoracic Images, 2018

2017

Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network.

Yoni Choukroun, Ran Bakalo, Rami Ben-Ari, Ayelet Akselrod-Ballin, Ella Barkan, Pavel Kisilev

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017

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

Ayelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Domain specific convolutional neural nets for detection of architectural distortion in mammograms.

Rami Ben-Ari, Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharbell Y. Hashoul

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016

A Region Based Convolutional Network for Tumor Detection and Classification in Breast Mammography.

Ayelet Akselrod-Ballin, Leonid Karlinsky, Sharon Alpert, Sharbell Y. Hasoul, Rami Ben-Ari, Ella Barkan

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2014

Sequence alignment of in-utero fetal tissue MRI in mice.

Ayelet Akselrod-Ballin, Reut Avni, Michal Neeman

Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2011

Accelerating Image Registration With the Johnson-Lindenstrauss Lemma: Application to Imaging 3-D Neural Ultrastructure With Electron Microscopy.

Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield

IEEE Trans. Medical Imaging, 2011

2009

Automatic Segmentation and Classification of Multiple Sclerosis in Multichannel MRI.

Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Massimo Filippi, Paola Valsasina, Ronen Basri, Achi Brandt

IEEE Trans. Biomed. Eng., 2009

Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma.

Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Improved Registration for Large Electron Microscopy Images.

Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

Distinctive and compact features.

Ayelet Akselrod-Ballin, Shimon Ullman

Image Vis. Comput., 2008

2007

Prior Knowledge Driven Multiscale Segmentation of Brain MRI.

Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Achi Brandt, Ronen Basri

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

2006

Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification.

Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Ronen Basri, Achi Brandt

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

An Integrated Segmentation and Classification Approach Applied to Multiple Sclerosis Analysis.

Ayelet Akselrod-Ballin, Meirav Galun, Ronen Basri, Achi Brandt, Moshe John Gomori, Massimo Filippi, Paola Valsasina

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006