Hayit Greenspan
Cited by
Cited by
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
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
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
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 (2), 208-222, 2011
An efficient image similarity measure based on approximations of KL-divergence between two Gaussian mixtures
J Goldberger, S Gordon, H Greenspan
null, 487, 2003
Image enhancement by nonlinear extrapolation in frequency space
H Greenspan, CH Anderson, S Akber
IEEE Transactions on Image Processing 9 (6), 1035-1048, 2000
Super-resolution in medical imaging
H Greenspan
The computer journal 52 (1), 43-63, 2009
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
MRI inter-slice reconstruction using super-resolution
H Greenspan, G Oz, N Kiryati, S Peled
Magnetic resonance imaging 20 (5), 437-446, 2002
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
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
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
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
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
An adaptive mean-shift framework for MRI brain segmentation
A Mayer, H Greenspan
IEEE transactions on medical imaging 28 (8), 1238-1250, 2009
Probabilistic space-time video modeling via piecewise GMM
H Greenspan, J Goldberger, A Mayer
IEEE Transactions on pattern analysis and machine intelligence 26 (3), 384-396, 2004
X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words
U Avni, H Greenspan, E Konen, M Sharon, J Goldberger
IEEE Transactions on Medical Imaging 30 (3), 733-746, 2010
Mixture model for face-color modeling and segmentation
H Greenspan, J Goldberger, I Eshet
Pattern Recognition Letters 22 (14), 1525-1536, 2001
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