Maximizing Vector Distances for Purpose of Searching - A Study of Differential Evolution Suitability. - Martin Kolarík; Roman Jasek; Zuzana Komínková Oplatková (IBICA, 2014)

Computer Vision Method for Grading of Health of a Fundus Image on Basis of Presence of Red Lesions. - Sayantan Bhattacharya; Jai Sehgal; Ashish Issac; Malay Kishore Dutta; Radim Burget; Martin Kolarík (TSP, 2018)

3D Dense-U-Net for MRI Brain Tissue Segmentation. - Martin Kolarík; Radim Burget; Václav Uher; Malay Kishore Dutta (TSP, 2018)

Upsampling Algorithms for Autoencoder Segmentation Neural Networks: A Comparison Study. - Martin Kolarík; Radim Burget; Kamil Ríha (ICUMT, 2019)

Superresolution of MRI brain images using unbalanced 3D Dense-U-Net network. - Martin Kolarík; Radim Burget; Václav Uher; Lukas Povoda (TSP, 2019)

Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. - Martin Kolarík; Radim Burget; Carlos Manuel Travieso-González; Jan Kocica (ICPR, 2020)

Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks. - Martin Kolarík; Radim Burget; Kamil Ríha (TSP, 2020)

On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation. - Martin Kolarík; Radim Burget; Carlos Manuel Travieso-González; Jan Kocica (RRPR, 2021)

Suitability of CT and MRI Imaging for Automatic Spine Segmentation Using Deep Learning. - Martin Kolarík; Radim Burget; Kamil Ríha; Karel Bartusek (TSP, 2021)

Aerobic Fitness Level Estimation Using Wearables. - Radovan Smísek; Andrea Nemcová; Lukás Smital; Daniela Chlibkova; Martin Králik; Jana Kolarova; Vojtech Myska; Martin Kolarík; Michal Harvanek; Jakub Arm; Ondrej Bastan; Martin Pospísil; et al. (CinC, 2022)

One-Class Learning Weed Plants Detection on Multispectral Images. - Martin Kolarík; Martin Jonak; Jiri Prinosil; Ondrej Krajsa; Radim Burget; Tomas Gajdaczek (ICUMT, 2022)

Forensic Comparison of Soil Particles Using Gaussian Mixture Models and Likelihood Ratio Test. - Martin Jonak; Jan Dorazil; Martin Kolarík; Stepan Jezek; Radim Burget; Marek Kotrlý (ICUMT, 2023)