Hayit Greenspan
Cytowane przez
Cytowane przez
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
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
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
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
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
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
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
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 (2), 208-222, 2011
Super-resolution in medical imaging
H Greenspan
The computer journal 52 (1), 43-63, 2009
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
Image enhancement by nonlinear extrapolation in frequency space
H Greenspan, CH Anderson, S Akber
IEEE Transactions on Image Processing 9 (6), 1035-1048, 2000
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
Overcomplete steerable pyramid filters and rotation invariance
H Greenspan, S Belongie, R Goodman, P Perona, S Rakshit, ...
IEEE Computer Society Press, 1994
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
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, 94140V, 2015
MRI inter-slice reconstruction using super-resolution
H Greenspan, G Oz, N Kiryati, S Peled
Magnetic resonance imaging 20 (5), 437-446, 2002
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
Finding pictures of objects in large collections of images
DA Forsyth, J Malik, MM Fleck, H Greenspan, T Leung, S Belongie, ...
International workshop on object representation in computer vision, 335-360, 1996
Medical image categorization and retrieval for PACS using the GMM-KL framework
H Greenspan, AT Pinhas
IEEE Transactions on Information Technology in Biomedicine 11 (2), 190-202, 2007
Deep learning for medical image analysis
SK Zhou, H Greenspan, D Shen
Academic Press, 2017
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