| VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 213 | 2021 |
| Deep convolutional neural network-based segmentation and classification of difficult to define metastatic spinal lesions in 3D CT data J Chmelik, R Jakubicek, P Walek, J Jan, P Ourednicek, L Lambert, ... Medical image analysis 49, 76-88, 2018 | 98 | 2018 |
| Digitization and visualization of movements of slovak folk dances M Hajdin, I Kico, M Dolezal, J Chmelik, A Doulamis, F Liarokapis The Challenges of the Digital Transformation in Education: Proceedings of …, 2019 | 37 | 2019 |
| Accurate micro-computed tomography imaging of pore spaces in collagen-based scaffold J Zidek, L Vojtova, AM Abdel-Mohsen, J Chmelik, T Zikmund, J Brtnikova, ... Journal of Materials Science: Materials in Medicine 27, 1-18, 2016 | 33 | 2016 |
| Learning–based vertebra localization and labeling in 3D CT data of possibly incomplete and pathological spines R Jakubicek, J Chmelik, J Jan, P Ourednicek, L Lambert, G Gavelli Computer methods and programs in biomedicine 183, 105081, 2020 | 26 | 2020 |
| Combining deep learning and radiomics for automated, objective, comprehensive bone marrow characterization from whole-body MRI: a multicentric feasibility study M Wennmann, A Klein, F Bauer, J Chmelik, M Grözinger, C Uhlenbrock, ... Investigative Radiology 57 (11), 752-763, 2022 | 24 | 2022 |
| In vivo repeatability and multiscanner reproducibility of MRI radiomics features in patients with monoclonal plasma cell disorders: A prospective bi-institutional study M Wennmann, F Bauer, A Klein, J Chmelik, M Grözinger, LT Rotkopf, ... Investigative Radiology 58 (4), 253-264, 2023 | 23 | 2023 |
| Deep-learning-based fully automatic spine centerline detection in CT data R Jakubicek, J Chmelik, P Ourednicek, J Jan 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 13 | 2019 |
| Deep learning for automatic bone marrow apparent diffusion coefficient measurements from whole-body magnetic resonance imaging in patients with multiple myeloma: a … M Wennmann, P Neher, N Stanczyk, KC Kahl, J Kächele, V Weru, ... Investigative Radiology 58 (4), 273-282, 2023 | 11 | 2023 |
| Cancer cell viscoelasticity measurement by quantitative phase and flow stress induction T Vicar, J Chmelik, J Navratil, R Kolar, L Chmelikova, V Cmiel, J Jagos, ... Biophysical Journal 121 (9), 1632-1642, 2022 | 8 | 2022 |
| Fully automatic CAD system for segmentation and classification of spinal metastatic lesions in CT data J Chmelik, R Jakubicek, J Jan, P Ourednicek, L Lambert, E Amadori, ... World Congress on Medical Physics and Biomedical Engineering 2018: June 3-8 …, 2019 | 8 | 2019 |
| Self-supervised pretraining for transferable quantitative phase image cell segmentation T Vicar, J Chmelik, R Jakubicek, L Chmelikova, J Gumulec, J Balvan, ... Biomedical optics express 12 (10), 6514-6528, 2021 | 7 | 2021 |
| Localization and classification of intracranial hemorrhages in CT data J Nemcek, R Jakubicek, J Chmelik 8th European Medical and Biological Engineering Conference: Proceedings of …, 2021 | 6 | 2021 |
| Combined bone lesion analysis in 3D CT data of vertebrae J Jan, M Novosadová, J Demel, P Ouředníček, J Chmelík, R Jakubíček 2015 37th annual international conference of the IEEE Engineering in …, 2015 | 6 | 2015 |
| Prediction of bone marrow biopsy results from MRI in multiple myeloma patients using deep learning and radiomics M Wennmann, W Ming, F Bauer, J Chmelik, A Klein, C Uhlenbrock, ... Investigative radiology 58 (10), 754-765, 2023 | 5 | 2023 |
| P-018: Automatic analysis of magnetic resonance imaging in multiple myeloma patients: Deep-learning based pelvic bone marrow segmentation and radiomics analysis for prediction … M Wennmann, A Klein, F Bauer, J Chmelik, C Uhlenbrock, M Grözinger, ... Clinical Lymphoma Myeloma and Leukemia 21, S49, 2021 | 4 | 2021 |
| Tumorous spinal lesions: computer aided diagnosis and evaluation based on CT data-a review J Chmelik, R Jakubicek, J Jan Current Medical Imaging 14 (5), 686-694, 2018 | 4 | 2018 |
| P-012: Automatic bone marrow segmentation in whole-body magnetic resonance imaging: Towards comprehensive, objective MRI-phenotypic bone marrow characterization in multiple myeloma M Wennmann, J Chmelik, F Bauer, A Klein, C Uhlenbrock, J Lochner, ... Clinical Lymphoma Myeloma and Leukemia 21, S45-S46, 2021 | 3 | 2021 |
| Deep-learning based prediction of virtual non-contrast CT images R Jakubicek, T Vicar, J Chmelik, P Ourednicek, J Jan 2021 International Symposium on Electrical, Electronics and Information …, 2021 | 3 | 2021 |
| Iterative machine learning based rotational alignment of brain 3D CT data J Chmelik, R Jakubicek, T Vicar, P Walek, P Ourednicek, J Jan 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 3 | 2019 |
Tomas VicarBrno University of Technology在 vutbr.cz 的电子邮件经过验证
