| 2023 | ICCS | Cerebral Vessel Segmentation in CE-MR Images Using Deep Learning and Synthetic Training Datasets. | Artur Klepaczko |
| 2023 | ICCS | CNN-Based Quantification of Blood Vessels Lumen in 3D Images. | Andrzej Materka, Jakub Jurek, Marek Kocinski, Artur Klepaczko |
| 2021 | ICCS | Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images. | Artur Klepaczko, Eli Eikefjord, Arvid Lundervold |
| 2015 | ISPA | Automated modeling of tubular blood vessels in 3D MR angiography images. | Andrzej Materka, Marek Kocinski, Jacek Blumenfeld, Artur Klepaczko, Andreas Deistung, Barthlemy Serres, Jrgen R. Reichenbach |
| 2014 | ICCVG | Computer Simulation of the SWI Protocol in Nuclear Magnetic Resonance Imaging. | Grzegorz Izydorczyk, Artur Klepaczko |
| 2011 | HAIS | An Intelligent Automated Recognition System of Abnormal Structures in WCE Images. | Piotr M. Szczypinski, Artur Klepaczko, Michal Strzelecki |
| 2010 | ACIVS | Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors. | Artur Klepaczko, Piotr M. Szczypinski |
| 2010 | ICAISC | Combining Evolutionary and Sequential Search Strategies for Unsupervised Feature Selection. | Artur Klepaczko, Andrzej Materka |
| 2010 | ICCVG | Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images. | Artur Klepaczko, Piotr M. Szczypinski, Piotr Daniel, Marek Pazurek |
| 2009 | ACIVS | Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images. | Piotr M. Szczypinski, Artur Klepaczko |