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ORCIDMarcin Ciecholewski
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2020 – today
- 2024
[c12]Aleksander Madajczak, Marcin Ciecholewski:
Detecting Objects of Various Categories in Optical Remote Sensing Imagery Using Neural Networks. IGARSS 2024: 8971-8974- 2023
- [c11]Marcin Ciecholewski:
Urban scene semantic segmentation using the U-Net model. FedCSIS 2023: 907-912 - 2021
- [j10]Marcin Ciecholewski
, Michal Kassjanski:
Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review. Sensors 21(6): 2027 (2021)
2010 – 2019
- 2018
- [j9]Marcin Ciecholewski, Jan H. Spodnik:
Semi-Automatic Corpus Callosum Segmentation and 3D Visualization Using Active Contour Methods. Symmetry 10(11): 589 (2018) - 2017
- [j8]Marcin Ciecholewski:
River channel segmentation in polarimetric SAR images: Watershed transform combined with average contrast maximisation. Expert Syst. Appl. 82: 196-215 (2017) - [j7]Marcin Ciecholewski:
Microcalcification Segmentation from Mammograms: A Morphological Approach. J. Digit. Imaging 30(2): 172-184 (2017) - [j6]Marcin Ciecholewski:
Malignant and Benign Mass Segmentation in Mammograms Using Active Contour Methods. Symmetry 9(11): 277 (2017) - 2016
- [j5]Marcin Ciecholewski:
An edge-based active contour model using an inflation/deflation force with a damping coefficient. Expert Syst. Appl. 44: 22-36 (2016) - 2015
- [j4]Marcin Ciecholewski:
Automated coronal hole segmentation from Solar EUV Images using the watershed transform. J. Vis. Commun. Image Represent. 33: 203-218 (2015) - [c10]Marcin Ciecholewski:
Object Tracking Using the Parametric Active Contour Model in Video Streams. CORES 2015: 421-429 - 2014
- [j3]Marcin Ciecholewski:
Automatic Liver Segmentation from 2D CT Images Using an Approximate Contour Model. J. Signal Process. Syst. 74(2): 151-174 (2014) - 2013
- [j2]Marcin Ciecholewski, Jakub Chocholowicz:
Gallbladder shape extraction from ultrasound images using active contour models. Comput. Biol. Medicine 43(12): 2238-2255 (2013) - [j1]Marcin Ciecholewski:
Ischemic heart disease detection using selected machine learning methods. Int. J. Comput. Math. 90(8): 1734-1759 (2013) - 2011
- [c9]Marcin Ciecholewski:
SVM Approach to Classifying Lesions in USG Images with the Use of the Gabor Decomposition. IDEAL 2011: 66-75 - [c8]Marcin Ciecholewski:
AdaBoost-Based Approach for Detecting Lithiasis and Polyps in USG Images of the Gallbladder. IVIC (1) 2011: 206-215 - [c7]Marcin Ciecholewski:
Support Vector Machine Approach to Cardiac SPECT Diagnosis. IWCIA 2011: 432-443 - [c6]Marcin Ciecholewski:
Gallbladder Segmentation from 2-D Ultrasound Images Using Active Contour Models and Gradient Vector Flow. MIRAGE 2011: 86-97 - 2010
- [c5]Marcin Ciecholewski:
Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model. IDEAL 2010: 63-69 - [c4]Marcin Ciecholewski:
Gallbladder Segmentation in 2-D Ultrasound Images Using Deformable Contour Methods. MDAI 2010: 163-174
2000 – 2009
- 2007
- [c3]Marcin Ciecholewski, Marek R. Ogiela:
Automatic Segmentation of Single and Multiple Neoplastic Hepatic Lesions in CT Images. IWINAC (2) 2007: 63-71 - [c2]Marcin Ciecholewski, Marek R. Ogiela:
Automatic Segmentation of Neoplastic Hepatic Disease Symptoms in CT Images. MDAI 2007: 414-421 - 2006
- [c1]Marcin Ciecholewski, Krzysztof Debski:
Automatic Segmentation of the Liver in CT Images Using a Model of Approximate Contour. ISCIS 2006: 75-84
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