| The liver tumor segmentation benchmark (lits) P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ... Medical Image Analysis 84, 102680, 2023 | 714 | 2023 |
| Convolutional neural networks for radiologic images: a radiologist’s guide S Soffer, A Ben-Cohen, O Shimon, MM Amitai, H Greenspan, E Klang Radiology 290 (3), 590-606, 2019 | 359 | 2019 |
| Fully convolutional network for liver segmentation and lesions detection A Ben-Cohen, I Diamant, E Klang, M Amitai, H Greenspan Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 262 | 2016 |
| Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection A Ben-Cohen, E Klang, SP Raskin, S Soffer, S Ben-Haim, E Konen, ... Engineering Applications of Artificial Intelligence 78, 186-194, 2019 | 174 | 2019 |
| Virtual PET images from CT data using deep convolutional networks: initial results A Ben-Cohen, E Klang, SP Raskin, MM Amitai, H Greenspan Simulation and Synthesis in Medical Imaging: Second International Workshop …, 2017 | 100 | 2017 |
| Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations A Ben-Cohen, E Klang, A Kerpel, E Konen, MM Amitai, H Greenspan Neurocomputing 275, 1585-1594, 2018 | 63 | 2018 |
| Improving the segmentation of anatomical structures in chest radiographs using u-net with an imagenet pre-trained encoder M Frid-Adar, A Ben-Cohen, R Amer, H Greenspan Image Analysis for Moving Organ, Breast, and Thoracic Images: Third …, 2018 | 61 | 2018 |
| Ml-decoder: Scalable and versatile classification head T Ridnik, G Sharir, A Ben-Cohen, E Ben-Baruch, A Noy Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 48 | 2023 |
| CT image-based decision support system for categorization of liver metastases into primary cancer sites: initial results A Ben-Cohen, E Klang, I Diamant, N Rozendorn, SP Raskin, E Konen, ... Academic radiology 24 (12), 1501-1509, 2017 | 42 | 2017 |
| Retinal layers segmentation using fully convolutional network in OCT images A Ben-Cohen, D Mark, I Kovler, D Zur, A Barak, M Iglicki, R Soferman RSIP Vision 1, 2017 | 31 | 2017 |
| Improving CNN training using disentanglement for liver lesion classification in CT A Ben-Cohen, R Mechrez, N Yedidia, H Greenspan 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 25 | 2019 |
| Electrostatic selectivity of volatile organic compounds using electrostatically formed nanowire sensor N Mahapatra, A Ben-Cohen, Y Vaknin, A Henning, J Hayon, ... ACS sensors 3 (3), 709-715, 2018 | 23 | 2018 |
| Deep learning and data labeling for medical applications A Ben-Cohen, I Diamant, E Klang, M Amitai, H Greenspan Proceedings of the International Workshop on Large-Scale Annotation of …, 2016 | 21 | 2016 |
| Automated method for detection and segmentation of liver metastatic lesions in follow-up CT examinations A Ben-Cohen, E Klang, I Diamant, N Rozendorn, MM Amitai, ... Journal of Medical Imaging 2 (3), 034502-034502, 2015 | 20 | 2015 |
| Semantic diversity learning for zero-shot multi-label classification A Ben-Cohen, N Zamir, E Ben-Baruch, I Friedman, L Zelnik-Manor Proceedings of the IEEE/CVF International Conference on Computer Vision, 640-650, 2021 | 17 | 2021 |
| Anatomical data augmentation for CNN based pixel-wise classification A Ben-Cohen, E Klang, MM Amitai, J Goldberger, H Greenspan 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 16 | 2018 |
| Multi-label classification with partial annotations using class-aware selective loss E Ben-Baruch, T Ridnik, I Friedman, A Ben-Cohen, N Zamir, A Noy, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
| Attention network robustification for person ReID H Lawen, A Ben-Cohen, M Protter, I Friedman, L Zelnik-Manor arXiv preprint arXiv:1910.07038, 2019 | 13 | 2019 |
| Automatic detection and segmentation of liver metastatic lesions on serial CT examinations AB Cohen, I Diamant, E Klang, M Amitai, H Greenspan Medical Imaging 2014: Computer-Aided Diagnosis 9035, 327-334, 2014 | 11 | 2014 |
| Compact network training for person reid H Lawen, A Ben-Cohen, M Protter, I Friedman, L Zelnik-Manor Proceedings of the 2020 International Conference on Multimedia Retrieval …, 2020 | 9 | 2020 |
Hayit GreenspanTel-Aviv University在 eng.tau.ac.il 的电子邮件经过验证
