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ORCIDHedva Spitzer
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2020 – today
- 2022
[j7]Yuri Feigin
, Hedva Spitzer, Raja Giryes:
Cluster with GANs. Comput. Vis. Image Underst. 225: 103571 (2022)- 2020
- [i1]Yuri Feigin, Hedva Spitzer, Raja Giryes:
GMM-Based Generative Adversarial Encoder Learning. CoRR abs/2012.04525 (2020)
2010 – 2019
- 2018
- [j6]Albert Yankelovich, Hedva Spitzer:
Predicting Illusory Contours Without Extracting Special Image Features. Frontiers Comput. Neurosci. 12: 106 (2018) - 2017
- [c7]Hadar Cohen Duwek, Hedva Spitzer:
A new diffusion computational model predicts both the positive and the negative short afterimage effects. CIC 2017: 103-107 - 2016
- [j5]Itai Lang, Miri Sklair-Levy, Hedva Spitzer:
Multi-scale texture-based level-set segmentation of breast B-mode images. Comput. Biol. Medicine 72: 30-42 (2016) - 2013
- [j4]Leon Kanelovitch, Yaakov Itzchak, Arie Rundstein, Miri Sklair-Levy, Hedva Spitzer:
Biologically Derived Companding Algorithm for High Dynamic Range Mammography Images. IEEE Trans. Biomed. Eng. 60(8): 2253-2261 (2013) - 2011
- [j3]Hadar Cohen Duwek, Hedva Spitzer, Rony Weitzen, Sara Apter:
A biologically-based algorithm for companding computerized tomography (CT) images. Comput. Biol. Medicine 41(6): 367-379 (2011)
2000 – 2009
- 2004
- [c6]Hedva Spitzer, Yuval Barkan:
Computational Adaptation Model and its Predictions for Color Induction of First and Second Orders. CGIV 2004: 86-90 - [c5]Hedva Spitzer, Yair Zimmer:
Improvement of illumination artifacts in medical ultrasound images using a biologically based algorithm for compression of wide dynamic range. ICECS 2004: 435-438 - 2003
- [c4]Hedva Spitzer, Yan Karasik, Shmuel Einav:
Biological Gain Control for High Dynamic Range Compression. CIC 2003: 42-50 - 2002
- [j2]Hedva Spitzer, Sarit Semo:
Color constancy: a biological model and its application for still and video images. Pattern Recognit. 35(8): 1645-1659 (2002) - [c3]Hedva Spitzer, Eilon Sherman:
Color Contrast: A Biological Model and its Application for Real Images. CGIV 2002: 27-32 - 2000
- [c2]Eilon Sherman, Hedva Spitzer:
Confrontation of Retinal Adaptation Model with Key Features of Psychophysical Gain Behavior Dynamics. Biologically Motivated Computer Vision 2000: 88-97
1990 – 1999
- 1995
- [j1]Marva Almon, Hedva Spitzer:
Effect of degree of uniformity on predicted visual cortical response tuning curves. Biol. Cybern. 72(3): 221-232 (1995) - 1994
- [c1]Itay Sherman, Hedva Spitzer:
Model for local image velocity detection of early visual processing. ICPR (1) 1994: 819-821
Coauthor Index
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