Semi-automatic CT Image Segmentation using Random Forests Learned from Partial Annotations. - Oldrich Kodym; Michal Spanel (BIOIMAGING, 2018)

Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. - Oldrich Kodym; Michal Spanel; Adam Herout (GCPR, 2018)

Brno Mobile OCR Dataset. - Martin Kiss; Michal Hradis; Oldrich Kodym (ICDAR, 2019)

Evaluating Deep Learning Uncertainty Measures in Cephalometric Landmark Localization. - Dusan Drevický; Oldrich Kodym (BIOIMAGING, 2020)

Cranial Defect Reconstruction Using Cascaded CNN with Alignment. - Oldrich Kodym; Michal Spanel; Adam Herout (AutoImplant@MICCAI, 2020)

Skull shape reconstruction using cascaded convolutional networks. - Oldrich Kodym; Michal Spanel; Adam Herout (Comput. Biol. Medicine, 2020)

Page Layout Analysis System for Unconstrained Historic Documents. - Oldrich Kodym; Michal Hradis (ICDAR (2), 2021)

Segmentation of Defective Skulls from CT Data for Tissue Modelling. - Oldrich Kodym; Michal Spanel; Adam Herout (AutoImplant@MICCAI, 2021)

Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data. - Oldrich Kodym; Michal Spanel; Adam Herout (Comput. Biol. Medicine, 2021)

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. - Jianning Li 002; Pedro Pimentel; Angelika Szengel; Moritz Ehlke; Hans Lamecker; Stefan Zachow; Laura Jovani Estacio Cerquin; Christian Doenitz; Heiko Ramm; Haochen Shi; Xiaojun Chen 003; Franco Matzkin; et al. (IEEE Trans. Medical Imaging, 2021)

$ hbox {TG}^2$: text-guided transformer GAN for restoring document readability and perceived quality. - Oldrich Kodym; Michal Hradis (Int. J. Document Anal. Recognit., 2022)

Hluboké učení pro virtuální personalizované modelování a rekonstrukci lebky ; Deep Learning for Virtual Patient-Specific Skull Modelling and Reconstruction. - Oldrich Kodym (2022)

Why is the Winner the Best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CVPR, 2023)

Why is the winner the best? - Matthias Eisenmann; Annika Reinke; Vivienn Weru; Minu Dietlinde Tizabi; Fabian Isensee; Tim J. Adler; Sharib Ali; Vincent Andrearczyk; Marc Aubreville; Ujjwal Baid; Spyridon Bakas; Niranjan Balu; et al. (CoRR, 2023)

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. - Jianning Li 002; David G. Ellis; Oldrich Kodym; Laurèl Rauschenbach; Christoph Rieß; Ulrich Sure; Karsten H. Wrede; Carlos M. Alvarez; Marek Wodzinski; Mateusz Daniol; Daria Hemmerling; Hamza Mahdi; et al. (Medical Image Anal., 2023)

Leveraging Point Transformers for Detecting Anatomical Landmarks in Digital Dentistry. - Tibor Kubík; Oldrich Kodym; Petr Silling; Katerina Trávnícková; Tomás Mojzis; Jan Matula (ToothFairy/3DTeethLand/STS@MICCAI, 2024)