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Inferring the 3D Standing Spine Posture from 2D Radiographs


Jul 13, 2020
Amirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze


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Variational Inference and Bayesian CNNs for Uncertainty Estimation in Multi-Factorial Bone Age Prediction


Feb 25, 2020
Stefan Eggenreich, Christian Payer, Martin Urschler, Darko Štern

* accepted at Medical Imaging Meets NeurIPS 2019 

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VerSe: A Vertebrae Labelling and Segmentation Benchmark


Jan 24, 2020
Anjany Sekuboyina, Amirhossein Bayat, Malek E. Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukačka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Stefan Zachowk, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareauq, Björn H. Menze, Jan S. Kirschke


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Integrating Spatial Configuration into Heatmap Regression Based CNNs for Landmark Localization


Aug 02, 2019
Christian Payer, Darko Štern, Horst Bischof, Martin Urschler

* MIDL 2019 [arXiv:1907.08612] 

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Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge


Feb 21, 2019
Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Orjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom MacGillivray, David Newby, Kawal Rhode, Sebastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David Firmin, Guang Yang

* 14 pages, 7 figures, sumitted to Medical Image Analysis 

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Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks


Jul 30, 2018
Christian Payer, Darko Štern, Thomas Neff, Horst Bischof, Martin Urschler

* Accepted for ORAL presentation at MICCAI 2018 

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