Roland Kwitt - Google Scholar

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	All	Since 2015
Citations	2183	1714
h-index	25	21
i10-index	45	41

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Co-authors

Marc NiethammerProfessor of Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Peter Meerwald-StadlerUniversity of SalzburgVerified email at pmeerw.net
Stephen R. AylwardSenior Director of Strategic Initiatives, North Carolina, KitwareVerified email at kitware.com
Nuno VasconcelosProfessor of Electrical and Computer Engineering, University of California San DiegoVerified email at ece.ucsd.edu
Xiao YangUNC Chapel HillVerified email at cs.unc.edu
Stefan HuberSalzburg University of Applied SciencesVerified email at sthu.org
Yi HongUniversity of GeorgiaVerified email at cs.uga.edu
Christoph HoferPostDoc, University of SalzburgVerified email at cosy.sbg.ac.at
Nikhil SinghUniversity of North Carolina, Chapel Hill, University of UtahVerified email at cs.utah.edu
Martin StynerAssociate Professor of Computer Science and Psychiatry, University of North Carolina at Chapel HillVerified email at unc.edu
Nikhil RasiwasiaSnapdeal, Yahoo, UCSD, Google, Microsoft.Verified email at snapdeal.com
Brad DavisKitware, Inc.Verified email at kitware.com
Jan ReininghausInstitute of Science and Technology AustriaVerified email at ist.ac.at
Sebastian HegenbartUniversity of Applied Sciences VorarlbergVerified email at fhv.at
Matthew McCormickKitware, IncVerified email at kitware.com
Mandar DixitScientist, MicrosoftVerified email at microsoft.com
Ulrich BauerTechnical University of MunichVerified email at tum.de
Sharif RazzaqueMedtronicVerified email at medtronic.com
Xu HanPhD student of Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Xiaoxiao LiuProduct Director, CuracloudVerified email at curacloudcorp.com

Roland Kwitt

Associate Professor, Department of Computer Science, University of Salzburg, Austria

Verified email at sbg.ac.at - Homepage

Computer Vision Machine Learning Medical Imaging


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Quicksilver: Fast predictive image registration–a deep learning approach X Yang, R Kwitt, M Styner, M Niethammer NeuroImage 158, 378-396, 2017	223	2017
A stable multi-scale kernel for topological machine learning J Reininghaus, S Huber, U Bauer, R Kwitt Proceedings of the IEEE conference on computer vision and pattern …, 2015	193	2015
BlenSor: Blender sensor simulation toolbox M Gschwandtner, R Kwitt, A Uhl, W Pree International Symposium on Visual Computing, 199-208, 2011	154	2011
Lightweight probabilistic texture retrieval R Kwitt, A Uhl IEEE Transactions on Image Processing 19 (1), 241-253, 2009	103	2009
Scene recognition on the semantic manifold R Kwitt, N Vasconcelos, N Rasiwasia European Conference on Computer Vision (ECCV 2012), 359-372, 2012	94	2012
Deep learning with topological signatures C Hofer, R Kwitt, M Niethammer, A Uhl Advances in Neural Information Processing Systems, 1634-1644, 2017	80	2017
Efficient texture image retrieval using copulas in a Bayesian framework R Kwitt, P Meerwald, A Uhl IEEE transactions on image processing 20 (7), 2063-2077, 2011	80	2011
Image similarity measurement by Kullback-Leibler divergences between complex wavelet subband statistics for texture retrieval R Kwitt, A Uhl 2008 15th IEEE International Conference on Image Processing, 933-936, 2008	80	2008
Fast predictive image registration X Yang, R Kwitt, M Niethammer Deep Learning and Data Labeling for Medical Applications, 48-57, 2016	75	2016
Aga: Attribute-guided augmentation M Dixit, R Kwitt, M Niethammer, N Vasconcelos Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	62	2017
Lightweight detection of additive watermarking in the DWT-domain R Kwitt, P Meerwald, A Uhl IEEE transactions on image processing 20 (2), 474-484, 2010	61	2010
Statistical topological data analysis-a kernel perspective R Kwitt, S Huber, M Niethammer, W Lin, U Bauer Advances in neural information processing systems, 3070-3078, 2015	47	2015
Computer-assisted pit-pattern classification in different wavelet domains for supporting dignity assessment of colonic polyps M Häfner, R Kwitt, A Uhl, F Wrba, A Gangl, A Vécsei Pattern Recognition 42 (6), 1180-1191, 2009	41	2009
Modeling the marginal distributions of complex wavelet coefficient magnitudes for the classification of zoom-endoscopy images R Kwitt, A Uhl 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007	39	2007
Feature extraction from multi-directional multi-resolution image transformations for the classification of zoom-endoscopy images M Häfner, R Kwitt, A Uhl, A Gangl, F Wrba, A Vécsei Pattern Analysis and Applications 12 (4), 407, 2009	37	2009
Low-rank to the rescue–atlas-based analyses in the presence of pathologies X Liu, M Niethammer, R Kwitt, M McCormick, S Aylward International Conference on Medical Image Computing and Computer-Assisted …, 2014	34	2014
A joint model of complex wavelet coefficients for texture retrieval R Kwitt, A Uhl 2009 16th IEEE International Conference on Image Processing (ICIP), 1877-1880, 2009	34	2009
Infrared camera calibration for dense depth map construction M Gschwandtner, R Kwitt, A Uhl, W Pree 2011 IEEE Intelligent Vehicles Symposium (IV), 857-862, 2011	32	2011
Low-rank atlas image analyses in the presence of pathologies X Liu, M Niethammer, R Kwitt, N Singh, M McCormick, S Aylward IEEE transactions on medical imaging 34 (12), 2583-2591, 2015	31	2015
Localizing target structures in ultrasound video–a phantom study R Kwitt, N Vasconcelos, S Razzaque, S Aylward Medical image analysis 17 (7), 712-722, 2013	31	2013

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