| Blobworld: Image segmentation using expectation-maximization and its application to image querying C Carson, S Belongie, H Greenspan, J Malik IEEE Transactions on pattern analysis and machine intelligence 24 (8), 1026-1038, 2002 | 2056 | 2002 |
| Guest editorial deep learning in medical imaging: Overview and future promise of an exciting new technique H Greenspan, B Van Ginneken, RM Summers IEEE transactions on medical imaging 35 (5), 1153-1159, 2016 | 1810 | 2016 |
| GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification M Frid-Adar, I Diamant, E Klang, M Amitai, J Goldberger, H Greenspan Neurocomputing 321, 321-331, 2018 | 1570 | 2018 |
| Rapid ai development cycle for the coronavirus (covid-19) pandemic: Initial results for automated detection & patient monitoring using deep learning ct image analysis O Gozes, M Frid-Adar, H Greenspan, PD Browning, H Zhang, W Ji, ... arXiv preprint arXiv:2003.05037, 2020 | 961 | 2020 |
| 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 | 802 | 2023 |
| Synthetic data augmentation using GAN for improved liver lesion classification M Frid-Adar, E Klang, M Amitai, J Goldberger, H Greenspan 2018 IEEE 15th international symposium on biomedical imaging (ISBI 2018 …, 2018 | 788 | 2018 |
| Color-and texture-based image segmentation using EM and its application to content-based image retrieval S Belongie, C Carson, H Greenspan, J Malik Sixth International Conference on Computer Vision (IEEE Cat. No. 98CH36271 …, 1998 | 788 | 1998 |
| Super-resolution in medical imaging H Greenspan The computer journal 52 (1), 43-63, 2009 | 588 | 2009 |
| An efficient image similarity measure based on approximations of KL-divergence between two Gaussian mixtures Goldberger, Gordon, Greenspan Proceedings Ninth IEEE International conference on computer vision, 487-493 …, 2003 | 559 | 2003 |
| Content-based image retrieval in radiology: current status and future directions CB Akgül, DL Rubin, S Napel, CF Beaulieu, H Greenspan, B Acar Journal of digital imaging 24, 208-222, 2011 | 490 | 2011 |
| A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises SK Zhou, H Greenspan, C Davatzikos, JS Duncan, B Van Ginneken, ... Proceedings of the IEEE 109 (5), 820-838, 2021 | 484 | 2021 |
| Region-based image querying C Carson, S Belongie, H Greenspan, J Malik 1997 Proceedings IEEE Workshop on Content-Based Access of Image and Video …, 1997 | 472 | 1997 |
| Deep learning in medical image analysis and multimodal learning for clinical decision support: 4th international workshop, dlmia 2018, and 8th international workshop, ml-cds … D Stoyanov, Z Taylor, G Carneiro, T Syeda-Mahmood, A Martel, ... Springer, 2018 | 463 | 2018 |
| Chest pathology detection using deep learning with non-medical training Y Bar, I Diamant, L Wolf, S Lieberman, E Konen, H Greenspan 2015 IEEE 12th international symposium on biomedical imaging (ISBI), 294-297, 2015 | 462 | 2015 |
| Deep learning with non-medical training used for chest pathology identification Y Bar, I Diamant, L Wolf, H Greenspan Medical Imaging 2015: Computer-Aided Diagnosis 9414, 215-221, 2015 | 397 | 2015 |
| 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 | 393 | 2019 |
| Image enhancement by nonlinear extrapolation in frequency space H Greenspan, CH Anderson, S Akber IEEE Transactions on Image Processing 9 (6), 1035-1048, 2000 | 381* | 2000 |
| Overcomplete steerable pyramid filters and rotation invariance Greenspan, Belongie, Goodman, Perona, Rakshit 1994 Proceedings of IEEE Conference on Computer Vision and Pattern …, 1994 | 373 | 1994 |
| MRI inter-slice reconstruction using super-resolution H Greenspan, G Oz, N Kiryati, S Peled Magnetic resonance imaging 20 (5), 437-446, 2002 | 350 | 2002 |
| Constrained Gaussian mixture model framework for automatic segmentation of MR brain images H Greenspan, A Ruf, J Goldberger IEEE transactions on medical imaging 25 (9), 1233-1245, 2006 | 340 | 2006 |
