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Andrzej Skalski
Andrzej Skalski
Department of Measurement and Electronics, AGH University of Science and Technology
Verified email at agh.edu.pl
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Cited by
Cited by
Year
Data Processing Tasks in Wireless GI Endoscopy: Image-Based Capsule Localization & Navigation and Video Compression
J Bulat, K Duda, M Duplaga, R Fraczek, A Skalski, M Socha, P Turcza, ...
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual …, 2007
612007
Acoustic analysis assessment in speech pathology detection
D Panek, A Skalski, J Gajda, R Tadeusiewicz
International Journal of Applied Mathematics and Computer Science 25 (3 …, 2015
492015
ANHIR: automatic non-rigid histological image registration challenge
J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ...
IEEE transactions on medical imaging 39 (10), 3042-3052, 2020
482020
Deep learning approach to Parkinson’s disease detection using voice recordings and convolutional neural network dedicated to image classification
M Wodzinski, A Skalski, D Hemmerling, JR Orozco-Arroyave, E Nöth
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
462019
Voice data mining for laryngeal pathology assessment
D Hemmerling, A Skalski, J Gajda
Computers in biology and medicine 69, 270-276, 2016
342016
Analysis of vocal folds movement in high speed videoendoscopy based on level set segmentation and image registration
A Skalski, T Zielinki, D Deliyski
Signals and Electronic Systems, 2008. ICSES'08. International Conference on …, 2008
312008
Automatic Detection of Parkinson's Disease Based on Modulated Vowels.
D Hemmerling, JR Orozco-Arroyave, A Skalski, J Gajda, E Nöth
INTERSPEECH, 1190-1194, 2016
282016
Automatic tracking of implanted fiducial markers in cone beam CT projection images.
TE Marchant, A Skalski, BJ Matuszewski
Medical physics 39 (3), 1322, 2012
222012
Kidney segmentation in ct data using hybrid level-set method with ellipsoidal shape constraints
A Skalski, K Heryan, J Jakubowski, T Drewniak
Metrology and Measurement Systems 24 (1), 101--112, 2017
212017
Kidney tumor segmentation and detection on Computed Tomography data
A Skalski, J Jakubowski, T Drewniak
2016 IEEE International Conference on Imaging Systems and Techniques (IST …, 2016
192016
Heart segmentation in echo images
A Skalski, P Turcza
Metrology and Measurement Systems 18 (2), 305-314, 2011
182011
Quantification of linear and non-linear acoustic analysis applied to voice pathology detection
D Panek, A Skalski, J Gajda
Information Technologies in Biomedicine, Volume 4, 355-364, 2014
152014
Deformable Image Registration-A Critical Evaluation: Demons, B-Spline FFD and Spring Mass System
JK Shen, BJ Matuszewski, LK Shark, A Skalski, T Zielinski, CJ Moore
BioMedical Visualization, 2008. MEDIVIS'08. Fifth International Conference …, 2008
152008
Computed tomography-based radiotherapy planning on the example of prostate cancer: application of level-set segmentation method guided by atlas-type knowledge
A Skalski, T Zieliński, P Kukołowicz, P Kędzierawski
ISABEL '11 International Symposium on Applied Sciences in Biomedical and …, 2011
132011
Left ventricle USG image segmentation using active contour model
A Skalski, P Turcza, T Zielinski, J Królczyk, T Grodzicki
Procedia Computer Science 1 (1), 2723-2732, 2010
132010
Metrological analysis of microsoft kinect in the context of object localization
A Skalski, B Machura
Metrology and Measurement Systems 22 (4), 469--478, 2015
122015
Using ASM in CT Data Segmentaion for Prostate Radiotherapy
A Skalski, A Kos, T Zieliński
Computer Vision and Graphics, 610-617, 2012
122012
Convolutional neural network approach to classify skin lesions using reflectance confocal microscopy
M Wodzinski, A Skalski, A Witkowski, G Pellacani, J Ludzik
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
112019
Improving oncoplastic breast tumor bed localization for radiotherapy planning using image registration algorithms
M Wodzinski, A Skalski, I Ciepiela, T Kuszewski, P Kedzierawski, J Gajda
Physics in Medicine & Biology 63 (3), 035024, 2018
92018
Automatic prostate segmentation in MR images based on 3D active contours with shape constraints
A Skalski, J Lagwa, T Zielinski, P Kedzierawski, T Kuszewski
2013 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2013
92013
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