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Rami Ben-Ari
Rami Ben-Ari
Senior Research Scientist at OriginAI
Verified email at originai.co - Homepage
Title
Cited by
Cited by
Year
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
3362020
A region based convolutional network for tumor detection and classification in breast mammography
A Akselrod-Ballin, L Karlinsky, S Alpert, S Hasoul, R Ben-Ari, E Barkan
Deep Learning and Data Labeling for Medical Applications: First …, 2016
1722016
Noise estimation using density estimation for self-supervised multimodal learning
E Amrani, R Ben-Ari, D Rotman, A Bronstein
Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 6644-6652, 2021
1212021
Classification of breast lesions using cross-modal deep learning
O Hadad, R Bakalo, R Ben-Ari, S Hashoul, G Amit
2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017
912017
Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches
G Amit, R Ben-Ari, O Hadad, E Monovich, N Granot, S Hashoul
Medical Imaging 2017: Computer-Aided Diagnosis 10134, 374-379, 2017
722017
Variational stereo vision with sharp discontinuities and occlusion handling
R Ben-Ari, N Sochen
ICCV, 2007
642007
Stereo matching with Mumford-Shah regularization and occlusion handling
R Ben-Ari, N Sochen
IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (11), 2071 …, 2010
462010
Domain specific convolutional neural nets for detection of architectural distortion in mammograms
R Ben-Ari, A Akselrod-Ballin, L Karlinsky, S Hashoul
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
422017
A CNN based method for automatic mass detection and classification in mammograms
A Akselrod-Ballin, L Karlinsky, S Alpert, S Hashoul, R Ben-Ari, E Barkan
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019
372019
Systems and methods for automatic detection of an indication of abnormality in an anatomical image
A Akselrod-Ballin, R Bakalo, R Ben-Ari, Y Choukroun, P Kisilev
US Patent 10,878,569, 2020
332020
Mammogram Classification and Abnormality Detection from Nonlocal Labels using Deep Multiple Instance Neural Network
Y Choukroun, R Bakalo, R Ben-Ari, A Akselrod-Ballin, E Barkan, P Kisilev
EG VCBM, 2017
322017
Hybrid mass detection in breast MRI combining unsupervised saliency analysis and deep learning
G Amit, O Hadad, S Alpert, T Tlusty, Y Gur, R Ben-Ari, S Hashoul
Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017
282017
Classifying medical images using deep convolution neural network (CNN) architecture
R Ben-Ari, P Kisilev, J Sulam
US Patent 10,650,286, 2020
272020
TAEN: temporal aware embedding network for few-shot action recognition
R Ben-Ari, MS Nacson, O Azulai, U Barzelay, D Rotman
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
252021
A Unified Approach for Registration and Depth in Depth from Defocus
R Ben-Ari
IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1041 …, 2014
242014
Medical sieve: a cognitive assistant for radiologists and cardiologists
T Syeda-Mahmood, E Walach, D Beymer, F Gilboa-Solomon, M Moradi, ...
Medical Imaging 2016: Computer-Aided Diagnosis 9785, 58-63, 2016
222016
Weakly and semi supervised detection in medical imaging via deep dual branch net
R Bakalo, J Goldberger, R Ben-Ari
Neurocomputing 421, 15-25, 2021
212021
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms. JAMA Netw Open. 2020; 3 (3): e200265
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
212020
Systems and methods for automatic detection of architectural distortion in two dimensional mammographic images
R Ben-Ari
US Patent 10,037,601, 2018
212018
Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets
J Sulam, R Ben-Ari, P Kisilev
EG VCBM, 2017
202017
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