| 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 | 337 | 2020 |
| 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 | 173 | 2016 |
| 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 | 121 | 2021 |
| 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 | 91 | 2017 |
| 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 | 72 | 2017 |
| Variational stereo vision with sharp discontinuities and occlusion handling R Ben-Ari, N Sochen ICCV, 2007 | 64 | 2007 |
| 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 | 46 | 2010 |
| 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 | 42 | 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 | 37 | 2019 |
| 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 | 33 | 2020 |
| 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 | 32 | 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 Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 28 | 2017 |
| Classifying medical images using deep convolution neural network (CNN) architecture R Ben-Ari, P Kisilev, J Sulam US Patent 10,650,286, 2020 | 27 | 2020 |
| 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 | 25 | 2021 |
| 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 | 24 | 2014 |
| 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 | 22 | 2016 |
| 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 | 21 | 2021 |
| 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, ... | 21 | 2020 |
| Systems and methods for automatic detection of architectural distortion in two dimensional mammographic images R Ben-Ari US Patent 10,037,601, 2018 | 21 | 2018 |
| Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets J Sulam, R Ben-Ari, P Kisilev EG VCBM, 2017 | 20 | 2017 |
Elad AmraniIBM Research AI; Technion在 campus.technion.ac.il 的电子邮件经过验证
