| 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 | 18 | 2018 |
| Attention network robustification for person ReID H Lawen, A Ben-Cohen, M Protter, I Friedman, L Zelnik-Manor arXiv preprint arXiv:1910.07038, 2019 | 15 | 2019 |
| Automated Computerized Analysis of Liver Lesions Using Machine Learning A Ben-Cohen Tel Aviv University, 2017 | | 2017 |
| 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 |
| 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 | 12 | 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 |
| 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 | 456 | 2019 |
| 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 | 208 | 2019 |
| 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 | 46 | 2017 |
| 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 | 24 | 2016 |
| Deep learning convolutional neural network for the classification and segmentation of in vivo confocal microscopy images P Hamrah, D Koseoglu, I Kovler, AB Cohen, R Soferman Investigative Ophthalmology & Visual Science 59 (9), 1733-1733, 2018 | 3 | 2018 |
| 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 | 28 | 2018 |
| 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 | 72 | 2018 |
| 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 | 280 | 2016 |
| Hierarchical fine-tuning for joint liver lesion segmentation and lesion classification in ct M Heker, A Ben-Cohen, H Greenspan 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 4 | 2019 |
| 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 | 26 | 2019 |
| Improving Liver Lesion Detection using CT-to-PET FCN and GAN Networks A Ben-Cohen, E Klang, SP Raskin, S Soffer, S Ben-Haim, E Konen, ... | | 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 | 69 | 2018 |
| It's all in the head: Representation knowledge distillation through classifier sharing E Ben-Baruch, M Karklinsky, Y Biton, A Ben-Cohen, H Lawen, N Zamir arXiv preprint arXiv:2201.06945, 2022 | 7 | 2022 |
| Left atria reconstruction from a series of sparse catheter paths using neural networks A Baram, M Safran, A Ben-Cohen, H Greenspan Machine Learning for Medical Image Reconstruction: First International …, 2018 | 3 | 2018 |
Hayit GreenspanTel-Aviv University在 eng.tau.ac.il 的电子邮件经过验证
