| Optimized high resolution 3d dense-u-net network for brain and spine segmentation M Kolařík, R Burget, V Uher, K Říha, MK Dutta Applied Sciences 9 (3), 404, 2019 | 112 | 2019 |
| Comparing normalization methods for limited batch size segmentation neural networks M Kolarik, R Burget, K Riha 2020 43rd international conference on telecommunications and signal …, 2020 | 20 | 2020 |
| Superresolution of MRI brain images using unbalanced 3D Dense-U-Net network M Kolarik, R Burget, V Uher, L Povoda 2019 42nd International Conference on Telecommunications and Signal …, 2019 | 16 | 2019 |
| 3D Dense-U-Net for MRI brain tissue segmentation M Kolařík, R Burget, V Uher, MK Dutta 2018 41st International Conference on Telecommunications and Signal …, 2018 | 12 | 2018 |
| Computer vision method for grading of health of a fundus image on basis of presence of red lesions S Bhattacharya, J Sehgal, A Issac, MK Dutta, R Burget, M Kolarik 2018 41st International Conference on Telecommunications and Signal …, 2018 | 11 | 2018 |
| Upsampling Algorithms for Autoencoder Segmentation Neural Networks: A Comparison Study M Kolarik, R Burget, K Riha ICUMT 2019 : The 11th International Congress on Ultra Modern …, 2019 | 10 | 2019 |
| Planar 3D transfer learning for end to end unimodal MRI unbalanced data segmentation M Kolarik, R Burget, CM Travieso-Gonzalez, J Kocica 2020 25th International Conference on Pattern Recognition (ICPR), 6051-6058, 2021 | 4 | 2021 |
| Artificial-intelligence-driven algorithms for predicting response to corticosteroid treatment in patients with post-acute COVID-19 V Myska, S Genzor, A Mezina, R Burget, J Mizera, M Stybnar, M Kolarik, ... Diagnostics 13 (10), 1755, 2023 | 3 | 2023 |
| Hluboké učení pro klasifikaci textů M Kolařík, L POVODA Brno, 2017 | 1 | 2017 |
| Forensic Comparison of Soil Particles Using Gaussian Mixture Models and Likelihood Ratio Test M Jonák, J Dorazil, M Kolařík, Š Ježek, R Burget, M Kotrlý 2023 15th International Congress on Ultra Modern Telecommunications and …, 2023 | | 2023 |
| One-Class Learning Weed Plants Detection on Multispectral Images M Kolarik, M Jonak, J Prinosil, O Krajsa, R Burget, T Gajdaczek 2022 14th International Congress on Ultra Modern Telecommunications and …, 2022 | | 2022 |
| Aerobic Fitness Level Estimation Using Wearables R Smisek, A Nemcova, L Smital, D Chlibkova, M Kralik, J Kolarova, ... 2022 Computing in Cardiology (CinC) 498, 1-4, 2022 | | 2022 |
| Comparison of Segmentation Methods in Analysis of MR and CT Images of Pediatric Spine J Mikulka, D Chalupa, M Kolařík, K Říha, K Bartušek, M Filipovič 2021 Photonics & Electromagnetics Research Symposium (PIERS), 449-454, 2021 | | 2021 |
| Suitability of CT and MRI Imaging for Automatic Spine Segmentation Using Deep Learning M Kolarik, R Burget, K Riha, K Bartusek 2021 44th International Conference on Telecommunications and Signal …, 2021 | | 2021 |
| On the Implementation of Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation M Kolarik, R Burget, CM Travieso-Gonzalez, J Kocica International Workshop on Reproducible Research in Pattern Recognition, 146-151, 2021 | | 2021 |
| Denoise pre-training for segmentation neural networks M Kolarik Student EEICT 1, 752-756, 2019 | | 2019 |
Kamil ŘíhaVUT v BrněVerified email at feec.vutbr.cz
