Rami Ben-Ari
Rami Ben-Ari
Vision AI Research
Verified email at originai.co - Homepage
Cited by
Cited by
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, 197-205, 2016
Variational stereo vision with sharp discontinuities and occlusion handling
R Ben-Ari, N Sochen
ICCV, 2007
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
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
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, 101341H, 2017
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
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
International conference on medical image computing and computer-assisted …, 2017
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
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
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
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
Variational depth from defocus in real-time
R Ben-Ari, G Raveh
2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011
Classifying medical images using deep convolution neural network (CNN) architecture
R Ben-Ari, P Kisilev, J Sulam
US Patent 10,650,286, 2020
A general framework and new alignment criterion for dense optical flow
R Ben-Ari, N Sochen
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
Deep Learning and Data Labeling for Medical Applications
A Akselrod-Ballin, L Karlinsky, S Alpert, S Hasoul, R Ben-Ari, E Barkan, ...
Athens: Springer, 2016
Method and apparatus for determining torque at desired locations on a machine
DA Carlson, TD Creger, WM Ferrell, J Hosseini, KP Liesener, ...
US Patent 6,757,604, 2004
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, 97850A, 2016
A geometric framework and a new criterion in optical flow modeling
R Ben-Ari, N Sochen
Journal of Mathematical Imaging and Vision 33 (2), 178-194, 2009
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
Noise estimation using density estimation for self-supervised multimodal learning
E Amrani, R Ben-Ari, D Rotman, A Bronstein
arXiv preprint arXiv:2003.03186, 2020
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