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Hayit Greenspan
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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
20332002
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
16422016
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
12862018
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
8742020
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
7731998
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
6552018
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
5582023
Super-resolution in medical imaging
H Greenspan
The computer journal 52 (1), 43-63, 2009
5302009
An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures.
J Goldberger, S Gordon, H Greenspan
ICCV 3, 487-493, 2003
5222003
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
4721997
Content-based image retrieval in radiology: current status and future directions
CB Akgl, DL Rubin, S Napel, CF Beaulieu, H Greenspan, B Acar
Journal of digital imaging 24, 208-222, 2011
4652011
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
4522018
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
4232015
Image enhancement by nonlinear extrapolation in frequency space
H Greenspan, CH Anderson, S Akber
IEEE Transactions on Image Processing 9 (6), 1035-1048, 2000
369*2000
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
3682015
Overcomplete steerable pyramid filters and rotation invariance
H Greenspan, S Belongie, R Goodman, P Perona, S Rakshit, ...
IEEE Computer Society Press, 1994
3591994
MRI inter-slice reconstruction using super-resolution
H Greenspan, G Oz, N Kiryati, S Peled
Magnetic resonance imaging 20 (5), 437-446, 2002
3352002
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
3302006
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
3082021
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
2992019
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