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Szidónia Lefkovits
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2010 – 2019
- 2019
- [j2]László Szilágyi
, Szidónia Lefkovits, Sándor M. Szilágyi:
Self-Tuning Possibilistic c-Means Clustering Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 27(Supplement-1): 143-159 (2019) - [c10]Szidónia Lefkovits, László Lefkovits, László Szilágyi:
Applications of Different CNN Architectures for Palm Vein Identification. MDAI 2019: 295-306 - 2018
- [c9]László Szilágyi, Szidónia Lefkovits, Zsolt Levente Kucsván:
A Self-tuning Possibilistic c-Means Clustering Algorithm. MDAI 2018: 255-266 - [c8]Szidónia Lefkovits
Brain Tumor Segmentation and Survival Prediction Using a Cascade of Random Forests. BrainLes@MICCAI (2) 2018: 334-345 - 2017
- [c7]László Lefkovits, Szidónia Lefkovits, Simina Emerich:
Biometric identification based on feature fusion with PCA and SVM. ICMV 2017: 1069604 - [c6]Szidónia Lefkovits, Simina Emerich, László Szilágyi:
Biometric System Based on Registration of Dorsal Hand Vein Configurations. PSIVT Workshops 2017: 17-29 - [c5]Zoltán Kapás, László Lefkovits, David Iclanzan, Ágnes Gyorfi, Barna László Iantovics
Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach. PSIVT 2017: 137-149 - 2016
- [c4]László Lefkovits, Szidónia Lefkovits
Random forest feature selection approach for image segmentation. ICMV 2016: 1034117 - [c3]László Lefkovits, Szidónia Lefkovits
Brain Tumor Segmentation with Optimized Random Forest. BrainLes@MICCAI 2016: 88-99 - 2015
- [j1]Szidónia Lefkovits:
Improvements on Gabor Descriptor Retrieval for Patch Detection. Comput. Informatics 34(6): 1374-1396 (2015) - [c2]László Lefkovits, Szidónia Lefkovits, Mircea-Florin Vaida:
An Atlas Based Performance Evaluation of Inhomogeneity Correcting Effects. MACRo 2015: 79-90 - 2012
- [c1]Szidónia Lefkovits
Novel Gabor filter-based patch descriptor. SISY 2012: 373-378
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