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2020 – today
- 2023
[j5]Jianning Li, 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, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023)- [c8]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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [i5]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, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - 2022
- [b1]Oldrich Kodym:
Hluboké učení pro virtuální personalizované modelování a rekonstrukci lebky ; Deep Learning for Virtual Patient-Specific Skull Modelling and Reconstruction. Brno University of Technology, Czech Republic, 2022 - [j4]Oldrich Kodym, Michal Hradis:
$\hbox {TG}^2$: text-guided transformer GAN for restoring document readability and perceived quality. Int. J. Document Anal. Recognit. 25(1): 15-28 (2022) - 2021
- [j3]Oldrich Kodym, Michal Spanel, Adam Herout:
Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data. Comput. Biol. Medicine 137: 104766 (2021) - [j2]Jianning Li, Pedro Pimentel, Angelika Szengel, Moritz Ehlke, Hans Lamecker, Stefan Zachow, Laura Jovani Estacio Cerquin, Christian Doenitz, Heiko Ramm, Haochen Shi, Xiaojun Chen, Franco Matzkin, Virginia F. J. Newcombe, Enzo Ferrante, Yuan Jin, David G. Ellis, Michele R. Aizenberg, Oldrich Kodym, Michal Spanel, Adam Herout, James G. Mainprize, Zachary Fishman, Michael R. Hardisty, Amirhossein Bayat, Suprosanna Shit, Bomin Wang, Zhi Liu, Matthias Eder, Antonio Pepe, Christina Gsaxner, Victor Alves, Ulrike Zefferer, Gord von Campe, Karin Pistracher, Ute Schäfer, Dieter Schmalstieg, Bjoern H. Menze, Ben Glocker, Jan Egger:
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 40(9): 2329-2342 (2021) - [c7]Oldrich Kodym, Michal Hradis:
Page Layout Analysis System for Unconstrained Historic Documents. ICDAR (2) 2021: 492-506 - [c6]Oldrich Kodym, Michal Spanel, Adam Herout:
Segmentation of Defective Skulls from CT Data for Tissue Modelling. AutoImplant@MICCAI 2021: 19-28 - [i4]Oldrich Kodym, Michal Hradis:
Page Layout Analysis System for Unconstrained Historic Documents. CoRR abs/2102.11838 (2021) - 2020
- [j1]Oldrich Kodym, Michal Spanel, Adam Herout:
Skull shape reconstruction using cascaded convolutional networks. Comput. Biol. Medicine 123: 103886 (2020) - [c5]Dusan Drevický, Oldrich Kodym:
Evaluating Deep Learning Uncertainty Measures in Cephalometric Landmark Localization. BIOIMAGING 2020: 213-220 - [c4]Oldrich Kodym, Michal Spanel, Adam Herout:
Cranial Defect Reconstruction Using Cascaded CNN with Alignment. AutoImplant@MICCAI 2020: 56-64
2010 – 2019
- 2019
- [c3]Martin Kiss, Michal Hradis, Oldrich Kodym:
Brno Mobile OCR Dataset. ICDAR 2019: 1352-1357 - [i3]Martin Kiss, Michal Hradis, Oldrich Kodym:
Brno Mobile OCR Dataset. CoRR abs/1907.01307 (2019) - [i2]Oldrich Kodym, Michal Spanel, Adam Herout:
Segmentation of Defective Skulls from CT Data for Tissue Modelling. CoRR abs/1911.08805 (2019) - 2018
- [c2]Oldrich Kodym, Michal Spanel:
Semi-automatic CT Image Segmentation using Random Forests Learned from Partial Annotations. BIOIMAGING 2018: 124-131 - [c1]Oldrich Kodym, Michal Spanel, Adam Herout:
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. GCPR 2018: 105-114 - [i1]Oldrich Kodym, Michal Spanel, Adam Herout:
Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. CoRR abs/1812.02427 (2018)
Coauthor Index
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