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Piotr M. Szczypinski
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2020 – today
- 2023
- [c18]Piotr M. Szczypinski
:
Radius Estimation in Angiograms Using Multiscale Vesselness Function. ICCS (4) 2023: 230-244 - 2021
- [j7]Piotr M. Szczypinski
, Katarzyna Sprawka
:
Orthorectification of Skin Nevi Images by Means of 3D Model of the Human Body. Sensors 21(24): 8367 (2021)
2010 – 2019
- 2019
- [c17]Piotr M. Szczypinski
, Artur Klepaczko
:
Deformable Mesh for Regularization of Three-Dimensional Image Registration. ITIB 2019: 67-78 - [c16]Katarzyna Sprawka, Piotr M. Szczypinski
:
Simulator for Modelling Confocal Microscope Distortions. ITIB 2019: 79-90 - [c15]Michal Kozlowski
, Piotr M. Szczypinski
:
Barley Defects Identification by Convolutional Neural Networks. ITIB 2019: 187-198 - 2017
- [j6]Peter Bajcsy
, Soweon Yoon, Stephen J. Florczyk
, Nathan Hotaling, Mylene Simon, Piotr M. Szczypinski
, Nicholas Schaub, Carl G. Simon
, Mary Brady, Ram D. Sriram:
Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images. BMC Bioinform. 18(1): 526:1-526:23 (2017) - [c14]Piotr M. Szczypinski
, Artur Klepaczko
, Marcin Kociolek
:
Barley defects identification. ISPA 2017: 216-219 - [c13]Izabella Korczynska-Czurak, Artur Klepaczko
, Piotr M. Szczypinski
:
Vessel tree surface modeling for blood flow simulation. SPA 2017: 111-115 - [c12]Piotr M. Szczypinski
, Artur Klepaczko
, Marcin Kociolek
:
QMaZda - Software tools for image analysis and pattern recognition. SPA 2017: 217-221 - [c11]Karolina Szturo
, Piotr M. Szczypinski
:
Ontology based expert system for Barley grain classification. SPA 2017: 360-364 - [c10]Marcin Kociolek
, Piotr M. Szczypinski
, Artur Klepaczko
:
Preprocessing of barley grain images for defect identification. SPA 2017: 365-370 - 2016
- [j5]Artur Klepaczko
, Piotr M. Szczypinski
, Andreas Deistung
, Jürgen R. Reichenbach
, Andrzej Materka
:
Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms. Comput. Methods Programs Biomed. 137: 293-309 (2016) - [c9]Peter Bajcsy, Soweon Yoon, Mylene Simon, Mary Brady, Ram D. Sriram, Nathan Hotaling, Nicholas Schaub, Carl G. Simon, Piotr M. Szczypinski
, Stephen J. Florczyk
:
Modeling, validation and verification of cell-scaffold contact measurements over terabyte-sized 3D image collection. IEEE BigData 2016: 3951-3953 - 2015
- [j4]Piotr M. Szczypinski
, Artur Klepaczko
, Piotr Zapotoczny
:
Identifying barley varieties by computer vision. Comput. Electron. Agric. 110: 1-8 (2015) - 2014
- [j3]Piotr M. Szczypinski
, Artur Klepaczko
, Marek Pazurek
, Piotr Daniel:
Texture and color based image segmentation and pathology detection in capsule endoscopy videos. Comput. Methods Programs Biomed. 113(1): 396-411 (2014) - 2011
- [c8]Piotr M. Szczypinski
, Artur Klepaczko
, Michal Strzelecki
:
An Intelligent Automated Recognition System of Abnormal Structures in WCE Images. HAIS (1) 2011: 140-147 - 2010
- [c7]Artur Klepaczko
, Piotr M. Szczypinski
:
Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors. ACIVS (1) 2010: 245-254 - [c6]Artur Klepaczko
, Piotr M. Szczypinski
, Piotr Daniel, Marek Pazurek:
Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images. ICCVG (2) 2010: 33-40 - [c5]Piotr M. Szczypinski
, Pawel Pelczynski
, Dominik Szajerman
, Pawel Strumillo:
Implementation of Computer Vision Algorithms in DirectShow Technology. IP&C 2010: 31-38 - [c4]Piotr M. Szczypinski
, Artur Klepaczko
:
Automated Recognition of Abnormal Structures in WCE Images Based on Texture Most Discriminative Descriptors. IP&C 2010: 263-270
2000 – 2009
- 2009
- [j2]Piotr M. Szczypinski
, Michal Strzelecki
, Andrzej Materka
, Artur Klepaczko
:
MaZda - A software package for image texture analysis. Comput. Methods Programs Biomed. 94(1): 66-76 (2009) - [j1]Piotr M. Szczypinski
, Ram D. Sriram, Parupudi V. J. Sriram, D. Nageshwar Reddy:
A model of deformable rings for interpretation of wireless capsule endoscopic videos. Medical Image Anal. 13(2): 312-324 (2009) - [c3]Piotr M. Szczypinski
, Artur Klepaczko
:
Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images. ACIVS 2009: 664-675 - 2004
- [c2]Piotr M. Szczypinski, Parupudi V. J. Sriram, Ram D. Sriram, D. Nageshwar Reddy:
Model of Deformable Rings for Aiding the Wireless Capsule Endoscopy Video Interpretation and Reporting. ICCVG 2004: 167-172 - [c1]Piotr M. Szczypinski
:
Center-Point Model of Deformable Surface. ICCVG 2004: 343-348
Coauthor Index
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