Oldrich Kodym - RankMe

23 papers A* 1A 1Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond benchmarks: Towards robust artificial intelligence bone segmentation in socio-technical systems. Expert Syst. Appl. Kunpeng Xie, Lennart Johannes Gruber, Martin Crampen, Yao Li, André Ferreira, Elias Tappeiner, Maxime Gillot, Jan Schepers, Jiangchang Xu, Tobias Pankert, Michel Beyer, Negar Shahamiri, Reinier ten Brink, Gauthier Dot, Charlotte Weschke, Niels van Nistelrooij, Pieter-Jan Verhelst, Yan Guo, Zhibin Xu, Jonas Bienzeisler, Ashkan Rashad, Tabea Flügge, Ross Cotton, Shankeeth Vinayahalingam, Robert R. Ilesan, Stefan Raith, Dennis Madsen, Constantin Seibold, Tong Xi, Stefaan Berge', Sven Nebelung, Oldrich Kodym, Osku Sundqvist, Florian M. Thieringer, Hans Lamecker, Antoine Coppens, Thomas Potrusil, Joep Kraeima, Max J. H. Witjes, Guomin Wu, Xiaojun Chen, Adriaan Lambrechts, Lucia H. S. Cevidanes, Stefan Zachow, Alexander Hermans, Daniel Truhn, Victor Alves, Jan Egger, Rainer Röhrig, Frank Hölzle, Behrus Hinrichs-Puladi
2025	J	`jnl`	Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge. CoRR Achraf Ben-Hamadou, Nour Neifar, Ahmed Rekik, Oussama Smaoui, Firas Bouzguenda, Sergi Pujades, Niels van Nistelrooij, Shankeeth Vinayahalingam, Kaibo Shi, Hairong Jin, Youyi Zheng, Tibor Kubík, Oldrich Kodym, Petr Silling, Katerina Trávnícková, Tomás Mojzis, Jan Matula, Jeffry Hartanto, Xiaoying Zhu, Kim-Ngan Nguyen, Tudor Dascalu, Huikai Wu, Weijie Liu, Shaojie Zhuang, Guangshun Wei, Yuanfeng Zhou
2025	J	`jnl`	Leveraging Point Transformers for Detecting Anatomical Landmarks in Digital Dentistry. CoRR Tibor Kubík, Oldrich Kodym, Petr Silling, Katerina Trávnícková, Tomás Mojzis, Jan Matula
2024	—	`conf`	Leveraging Point Transformers for Detecting Anatomical Landmarks in Digital Dentistry. ToothFairy/3DTeethLand/STS@MICCAI Tibor Kubík, Oldrich Kodym, Petr Silling, Katerina Trávnícková, Tomás Mojzis, Jan Matula
2023	J	`jnl`	Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 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
2023	A*	`conf`	Why is the Winner the Best? CVPR 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, Sen Yang, Y. Yang, Zixuan Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
2023	J	`jnl`	Why is the winner the best? CoRR 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.
2022	J	`jnl`	$\hbox {TG}^2$: text-guided transformer GAN for restoring document readability and perceived quality. Int. J. Document Anal. Recognit. Oldrich Kodym, Michal Hradis
2022	—	`—`	Hluboké učení pro virtuální personalizované modelování a rekonstrukci lebky ; Deep Learning for Virtual Patient-Specific Skull Modelling and Reconstruction. Oldrich Kodym
2021	J	`jnl`	AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Trans. Medical Imaging 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
2021	J	`jnl`	Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data. Comput. Biol. Medicine Oldrich Kodym, Michal Spanel, Adam Herout
2021	—	`conf`	Page Layout Analysis System for Unconstrained Historic Documents. ICDAR (2) Oldrich Kodym, Michal Hradis
2021	J	`jnl`	Page Layout Analysis System for Unconstrained Historic Documents. CoRR Oldrich Kodym, Michal Hradis
2021	—	`conf`	Segmentation of Defective Skulls from CT Data for Tissue Modelling. AutoImplant@MICCAI Oldrich Kodym, Michal Spanel, Adam Herout
2020	—	`conf`	Cranial Defect Reconstruction Using Cascaded CNN with Alignment. AutoImplant@MICCAI Oldrich Kodym, Michal Spanel, Adam Herout
2020	—	`conf`	Evaluating Deep Learning Uncertainty Measures in Cephalometric Landmark Localization. BIOIMAGING Dusan Drevický, Oldrich Kodym
2020	J	`jnl`	Skull shape reconstruction using cascaded convolutional networks. Comput. Biol. Medicine Oldrich Kodym, Michal Spanel, Adam Herout
2019	A	`conf`	Brno Mobile OCR Dataset. ICDAR Martin Kiss, Michal Hradis, Oldrich Kodym
2019	J	`jnl`	Brno Mobile OCR Dataset. CoRR Martin Kiss, Michal Hradis, Oldrich Kodym
2019	J	`jnl`	Segmentation of Defective Skulls from CT Data for Tissue Modelling. CoRR Oldrich Kodym, Michal Spanel, Adam Herout
2018	—	`conf`	Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. GCPR Oldrich Kodym, Michal Spanel, Adam Herout
2018	J	`jnl`	Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. CoRR Oldrich Kodym, Michal Spanel, Adam Herout
2018	—	`conf`	Semi-automatic CT Image Segmentation using Random Forests Learned from Partial Annotations. BIOIMAGING Oldrich Kodym, Michal Spanel