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2020 – today
- 2025
[j6]Lital Rokach
, Yehudit Aperstein, Ayelet Akselrod-Ballin:
Deep active learning framework for chest-abdominal CT scans segmentation. Expert Syst. Appl. 263: 125522 (2025)- 2022
- [j5]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: 106603 (2022) - [c15]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 - 2021
- [c14]Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin:
Learning Interclass Relations for Intravenous Contrast Phase Classification in CT. MIDL 2021: 507-519 - 2020
- [c13]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: 220-229 - [c12]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: 743-752 - [i3]Raouf Muhamedrahimov, Amir Bar, Ayelet Akselrod-Ballin:
Learning Interclass Relations for Image Classification. CoRR abs/2006.13491 (2020) - [i2]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 abs/2010.03739 (2020)
2010 – 2019
- 2019
- [j4]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): 242-249 (2019) - 2018
- [c11]Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin:
Siamese Network for Dual-View Mammography Mass Matching. RAMBO+BIA+TIA@MICCAI 2018: 55-63 - [i1]Shaked Perek, Alon Hazan, Ella Barkan, Ayelet Akselrod-Ballin:
Mammography Dual View Mass Correspondence. CoRR abs/1807.00637 (2018) - 2017
- [c10]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: 552-556 - [c9]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: 321-329 - [c8]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: 11-19 - 2016
- [c7]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: 197-205 - 2014
- [c6]Ayelet Akselrod-Ballin, Reut Avni, Michal Neeman:
Sequence alignment of in-utero fetal tissue MRI in mice. ISBI 2014: 786-789 - 2011
- [j3]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): 1427-1438 (2011)
2000 – 2009
- 2009
- [j2]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): 2461-2469 (2009) - [c5]Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield:
Improved Registration for Large Electron Microscopy Images. ISBI 2009: 434-437 - [c4]Ayelet Akselrod-Ballin, Davi Bock, R. Clay Reid, Simon K. Warfield:
Accelerating Feature Based Registration Using the Johnson-Lindenstrauss Lemma. MICCAI (1) 2009: 632-639 - 2008
- [j1]Ayelet Akselrod-Ballin, Shimon Ullman:
Distinctive and compact features. Image Vis. Comput. 26(9): 1269-1276 (2008) - 2007
- [c3]Ayelet Akselrod-Ballin, Meirav Galun, Moshe John Gomori, Achi Brandt, Ronen Basri:
Prior Knowledge Driven Multiscale Segmentation of Brain MRI. MICCAI (2) 2007: 118-126 - 2006
- [c2]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: 1122-1129 - [c1]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: 209-216
Coauthor Index
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