Piotr M. Szczypinski

发表

Modeling, validation and verification of cell-scaffold contact measurements over terabyte-sized 3D image collection

Ram D. Sriram, Peter Bajcsy, Nathan Hotaling, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Deformable Mesh for Regularization of Three-Dimensional Image Registration

Artur Klepaczko, Piotr M. Szczypinski, 2019, ITIB.

Center-Point Model of Deformable Surface

Piotr M. Szczypinski, 2004, ICCVG.

Identifying barley varieties by computer vision

Artur Klepaczko, Piotr M. Szczypinski, Piotr Zapotoczny, 2015, Comput. Electron. Agric..

Barley Defects Identification by Convolutional Neural Networks

Piotr M. Szczypinski, Michal Kozlowski, 2019, ITIB.

Model of Deformable Rings for Aiding the Wireless Capsule Endoscopy Video Interpretation and Reporting

Ram D. Sriram, Piotr M. Szczypinski, Parupudi V. J. Sriram, 2004, ICCVG.

Texture and color based image segmentation and pathology detection in capsule endoscopy videos

Artur Klepaczko, Piotr M. Szczypinski, Marek Pazurek, 2014, Comput. Methods Programs Biomed..

A model of deformable rings for interpretation of wireless capsule endoscopic videos

Ram D. Sriram, Piotr M. Szczypinski, Parupudi V. J. Sriram, 2006, Medical Image Anal..

Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms

Andrzej Materka, Artur Klepaczko, Piotr M. Szczypinski, 2016, Comput. Methods Programs Biomed..

Barley defects identification

Artur Klepaczko, Piotr M. Szczypinski, Marcin Kociolek, 2017, Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis.

Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images

Artur Klepaczko, Piotr M. Szczypinski, Marek Pazurek, 2010, ICCVG.

Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors

Artur Klepaczko, Piotr M. Szczypinski, 2010, ACIVS.

MaZda - A software package for image texture analysis

Michal Strzelecki, Andrzej Materka, Artur Klepaczko, 2009, Comput. Methods Programs Biomed..

Implementation of Computer Vision Algorithms in DirectShow Technology

Pawel Strumillo, Piotr M. Szczypinski, Dominik Szajerman, 2010, IP&C.

Automated Recognition of Abnormal Structures in WCE Images Based on Texture Most Discriminative Descriptors

Artur Klepaczko, Piotr M. Szczypinski, 2010, IP&C.

Modeling, validation and verification of three-dimensional cell-scaffold contacts from terabyte-sized images

Ram D. Sriram, Peter Bajcsy, Nathan Hotaling, 2017, BMC Bioinformatics.

An Intelligent Automated Recognition System of Abnormal Structures in WCE Images

Michal Strzelecki, Artur Klepaczko, Piotr M. Szczypinski, 2011, HAIS.

Simulator for Modelling Confocal Microscope Distortions

Piotr M. Szczypinski, Katarzyna Sprawka, P. Szczypiński, 2019, ITIB.

Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images

Artur Klepaczko, Piotr M. Szczypinski, A. Klepaczko, 2009, ACIVS.

Orthorectification of Skin Nevi Images by Means of 3D Model of the Human Body

Piotr M. Szczypinski, Katarzyna Sprawka, 2021, Sensors.