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Oldřich Kodym
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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
382021
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
332019
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
212021
Brno mobile OCR dataset
M Kišš, M Hradiš, O Kodym
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
202019
Skull shape reconstruction using cascaded convolutional networks
O Kodym, M Španěl, A Herout
Computers in Biology and Medicine 123, 103886, 2020
192020
Page layout analysis system for unconstrained historic documents
O Kodym, M Hradiš
Document Analysis and Recognition–ICDAR 2021: 16th International Conference …, 2021
182021
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
162023
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
142021
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
142020
Semi-automatic CT Image Segmentation using Random Forests Learned from Partial Annotations.
O Kodym, M Spanel
BIOIMAGING 740, 124-131, 2018
132018
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
82023
: text-guided transformer GAN for restoring document readability and perceived quality
O Kodym, M Hradiš
International Journal on Document Analysis and Recognition (IJDAR) 25 (1), 15-28, 2022
72022
Evaluating Deep Learning Uncertainty Measures in Cephalometric Landmark Localization.
D Drevický, O Kodym
BIOIMAGING, 213-220, 2020
62020
Segmentation of defective skulls from ct data for tissue modelling
O Kodym, M Španěl, A Herout
arXiv preprint arXiv:1911.08805, 2019
42019
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
22021
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
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Artikler 1–20