| Learning Individual Styles of Conversational Gesture S Ginosar*, A Bar*, G Kohavi, C Chan, A Owens, J Malik Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 254 | 2019 |
| Language Generation with Recurrent Generative Adversarial Networks without Pre-training O Press*, A Bar*, B Bogin*, J Berant, L Wolf 1st Workshop on Learning to Generate Natural Language at ICML 2017, 2017 | 133 | 2017 |
| Learning canonical representations for scene graph to image generation R Herzig*, A Bar*, H Xu, G Chechik, T Darrell, A Globerson 16th European Conference on Computer Vision, ECCV 2020, 2020 | 75 | 2020 |
| Compression Fractures Detection on CT A Bar, L Wolf, OB Amitai, E Toledano, E Elnekave Proceedings Volume 10134, Medical Imaging 2017: Computer-Aided Diagnosis …, 2017 | 69 | 2017 |
| Detreg: Unsupervised pretraining with region priors for object detection A Bar, X Wang, V Kantorov, CJ Reed, R Herzig, G Chechik, A Rohrbach, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 67 | 2022 |
| Automated opportunistic osteoporotic fracture risk assessment using computed tomography scans to aid in FRAX underutilization N Dagan, E Elnekave, N Barda, O Bregman-Amitai, A Bar, M Orlovsky, ... Nature Medicine, 2020, 2020 | 64 | 2020 |
| A cookbook of self-supervised learning R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... International Conference on Machine Learning (ICML Tutorials), 2023 | 55* | 2023 |
| Visual Prompting via Image Inpainting A Bar*, Y Gandelsman*, T Darrell, A Globerson, AA Efros Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022 | 42 | 2022 |
| Object-region video transformers R Herzig, E Ben-Avraham, K Mangalam, A Bar, G Chechik, A Rohrbach, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 39 | 2022 |
| Simulating Dual-Energy X-Ray Absorptiometry in CT Using Deep-Learning Segmentation Cascade A Krishnaraj, S Barrett, O Bregman-Amitai, M Cohen-Sfady, A Bar, ... Journal of the American College of Radiology, 2019, 2019 | 31 | 2019 |
| Compositional video synthesis with action graphs A Bar*, R Herzig*, X Wang, G Chechik, T Darrell, A Globerson Proceedings of the 38th International Conference on Machine Learning (ICML …, 2021 | 24 | 2021 |
| 3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT D Chettrit, T Meir, H Lebel, M Orlovsky, R Gordon, A Akselrod-Ballin, ... Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020, 2020 | 10 | 2020 |
| Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens E Ben-Avraham, R Herzig, K Mangalam, A Bar, A Rohrbach, L Karlinsky, ... Advances in Neural Information Processing Systems (NeurIPS), 2022, 2022 | 8* | 2022 |
| PHT-bot: a deep learning based system for automatic risk stratification of COPD patients based upon signs of pulmonary hypertension D Chettrit, OB Amitai, I Tamir, A Bar, E Elnekave Medical Imaging 2019: Computer-Aided Diagnosis 10950, 171-178, 2019 | 7 | 2019 |
| Improved ICH classification using task-dependent learning A Bar, M Mauda, Y Turner, M Safadi, E Elnekave IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019, 2019 | 5 | 2019 |
| Using machine learning to identify intravenous contrast phases on computed tomography R Muhamedrahimov, A Bar, J Laserson, A Akselrod-Ballin, E Elnekave Computer Methods and Programs in Biomedicine 215, 106603, 2022 | 2 | 2022 |
| Systems and methods for automated detection of visual objects in medical images BAR Amir US Patent App. 17/260,268, 2021 | 1 | 2021 |
| Learning Interclass Relations for Intravenous Contrast Phase Classification in CT R Muhamedrahimov, A Bar, A Akselrod-Ballin Medical Imaging with Deep Learning, 507-519, 2021 | 1* | 2021 |
| Identification of a contrast phase depicted in a medical image R Muhamedrahimov, BAR Amir US Patent 11,727,087, 2023 | | 2023 |
| Predicting masked tokens in stochastic locations improves masked image modeling A Bar, F Bordes, A Shocher, M Assran, P Vincent, N Ballas, T Darrell, ... arXiv preprint arXiv:2308.00566, 2023 | | 2023 |
