AutoImplant 2020-first MICCAI challenge on automatic cranial implant design J Li, P Pimentel, A Szengel, M Ehlke, H Lamecker, S Zachow, L Estacio, ...
IEEE transactions on medical imaging 40 (9), 2329-2342, 2021
42 2021 Segmentation of head and neck organs at risk using cnn with batch dice loss O Kodym, M Španěl, A Herout
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
33 2019 SkullBreak/SkullFix–Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks O Kodym, J Li, A Pepe, C Gsaxner, S Chilamkurthy, J Egger, M Španěl
Data in Brief 35, 106902, 2021
23 2021 Brno mobile OCR dataset M Kišš, M Hradiš, O Kodym
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
21 2019 Page layout analysis system for unconstrained historic documents O Kodym, M Hradiš
Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021
19 2021 Skull shape reconstruction using cascaded convolutional networks O Kodym, M Španěl, A Herout
Computers in Biology and Medicine 123, 103886, 2020
19 2020 Why is the winner the best? M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, S Ali, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
18 2023 Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data O Kodym, M Španěl, A Herout
Computers in Biology and Medicine 137, 104766, 2021
14 2021 Cranial defect reconstruction using cascaded CNN with alignment O Kodym, M Španěl, A Herout
Towards the Automatization of Cranial Implant Design in Cranioplasty: First …, 2020
14 2020 Semi-automatic CT Image Segmentation using Random Forests Learned from Partial Annotations. O Kodym, M Spanel
BIOIMAGING 740, 124-131, 2018
13 2018 Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge J Li, DG Ellis, O Kodym, L Rauschenbach, C Rieß, U Sure, KH Wrede, ...
Medical Image Analysis, 102865, 2023
11 2023 : text-guided transformer GAN for restoring document readability and perceived qualityO Kodym, M Hradiš
International Journal on Document Analysis and Recognition (IJDAR) 25 (1), 15-28, 2022
8 2022 Evaluating Deep Learning Uncertainty Measures in Cephalometric Landmark Localization. D Drevický, O Kodym
BIOIMAGING, 213-220, 2020
7 2020 Segmentation of defective skulls from ct data for tissue modelling O Kodym, M Španěl, A Herout
arXiv preprint arXiv:1911.08805, 2019
4 2019 Segmentation of Defective Skulls from CT Data for Tissue Modelling O Kodym, M Španěl, A Herout
Towards the Automatization of Cranial Implant Design in Cranioplasty II …, 2021
3 2021 AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design A Bayat, Z Liu, M Spanel, M Ehlke, B Wang, O Kodym, H Ramm, DG Ellis, ...
Institute of Electrical and Electronics Engineers Inc., 2021
2021 Benchmarking medical segmentation models with limited training sets K Trávnıcková, O Kodym
SkullBreak dataset: An open dataset for training and validation of skull reconstruction models O Kodym, M Španel, A Herout
SEGMENTATION OF HIPPOCAMPUS IN MRI DATA O Kodym
Erratum: Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss O Kodym