David Iclanzan
Title
Cited by
Cited by
Year
Overcoming hierarchical difficulty by hill-climbing the building block structure
D Iclanzan, D Dumitrescu
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
352007
Complex systems and cellular automata models in the study of complexity
C Chira, A Gog, RI Lung, D Iclanzan
Stud Inform Ser 55, 33-49, 2010
172010
Data-driven local optima network characterization of QAPLIB instances
D Iclanzan, F Daolio, M Tomassini
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
162014
Evolutionary detection of community structures in complex networks: A new fitness function
C Chira, A Gog, D Iclănzan
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
162012
Low and high grade glioma segmentation in multispectral brain MRI data
L Szilágyi, D Iclănzan, Z Kapás, Z Szabó, Á Győrfi, L Lefkovits
Acta Universitatis Sapientiae, Informatica 10 (1), 110-132, 2018
72018
Efficient 3D curve skeleton extraction from large objects
L Szilágyi, SM Szilágyi, D Iclănzan, L Szabó
Iberoamerican Congress on Pattern Recognition, 133-140, 2011
72011
A generalized c-means clustering model using optimized via evolutionary computation
L Szilágyi, D Iclanzan, SM Szilagyi, D Dumitrescu, B Hirsbrunner
2009 IEEE International Conference on Fuzzy Systems, 451-455, 2009
62009
Going for the big fishes: Discovering and combining large neutral and massively multimodal building-blocks with model based macro-mutation
D Iclanzan, D Dumitrescu
Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008
62008
Evolving computationally efficient hashing for similarity search
D Iclanzan, SM Szilágyi, L Szilágyi
International Conference on Neural Information Processing, 552-563, 2018
52018
Automatic brain tumor segmentation in multispectral MRI volumetric records
L Szilágyi, L Lefkovits, B Iantovics, D Iclănzan, B Benyó
International Conference on Neural Information Processing, 174-181, 2015
52015
Cell state change dynamics in cellular automata
D Iclănzan, A Gog, C Chira
Memetic Computing 5 (2), 131-139, 2013
52013
Automatic brain tumor segmentation in multispectral MRI volumes using a random forest approach
Z Kapás, L Lefkovits, D Iclănzan, Á Győrfi, BL Iantovics, S Lefkovits, ...
Pacific-Rim Symposium on Image and Video Technology, 137-149, 2017
42017
Hierarchical allelic pairwise independent functions
D Iclanzan
Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011
42011
Intensity inhomogeneity correction and segmentation of magnetic resonance images using a multi-stage fuzzy clustering approach
SM Szilágyi, L Szilágyi, D Iclanzan, L Dávid, A Frigy, Z Benyó
Neural Network World 19 (5), 513-528, 2009
42009
GeCiM: a novel generalized approach to c-means clustering
L Szilágyi, D Iclănzan, SM Szilágyi, D Dumitrescu
Iberoamerican Congress on Pattern Recognition, 235-242, 2008
42008
A study on histogram normalization for brain tumour segmentation from multispectral MR image data
Á Győrfi, Z Karetka-Mezei, D Iclănzan, L Kovács, L Szilágyi
Iberoamerican Congress on Pattern Recognition, 375-384, 2019
32019
An Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models
L Szilágyi, D Iclănzan, L Crăciun, SM Szilágyi
Iberoamerican Congress on Pattern Recognition, 312-319, 2011
32011
A weighted patient specific electromechanical model of the heart
SM Szilágyi, L Szilagyi, D Iclanzan, Z Benyo
2009 5th International Symposium on Applied Computational Intelligence and …, 2009
32009
Unified Neural Network Based Adaptive ECG Signal Analysis and Compression
SM Szilagyi, L Szilagyi, D Iclanzan, Z Benyo
Scientific Bulletin of the Politechnica University of Timisoara …, 2006
32006
Automatic detection of hard and soft exudates from retinal fundus images
B Borsos, L Nagy, D Iclănzan, L Szilágyi
Acta Universitatis Sapientiae, Informatica 11 (1), 65-79, 2019
22019
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Articles 1–20