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Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning


Dec 23, 2021
Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, SamuelJ outard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich


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Constraining Volume Change in Learned Image Registration for Lung CTs


Nov 29, 2020
Alessa Hering, Stephanie Häger, Jan Moltz, Nikolas Lessmann, Stefan Heldmann, Bram van Ginneken


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Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition


Jan 10, 2020
Roland Haase, Stefan Heldmann, Jan Lellmann

* 22 pages, 14 figures 

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mlVIRNET: Multilevel Variational Image Registration Network


Sep 22, 2019
Alessa Hering, Bram van Ginneken, Stefan Heldmann

* accepted for publication at MICCAI 2019 

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Variational Registration of Multiple Images with the SVD based SqN Distance Measure


Jul 23, 2019
Kai Brehmer, Hari Om Aggrawal, Stefan Heldmann, Jan Modersitzki

* 12 pages, 5 figures, accepted at the conference "Scale Space and Variational Methods" in Hofgeismar, Germany 2019 

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Robust, fast and accurate: a 3-step method for automatic histological image registration


Mar 29, 2019
Johannes Lotz, Nick Weiss, Stefan Heldmann


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Enhancing Label-Driven Deep Deformable Image Registration with Local Distance Metrics for State-of-the-Art Cardiac Motion Tracking


Dec 05, 2018
Alessa Hering, Sven Kuckertz, Stefan Heldmann, Mattias Heinrich

* Accepted at BVM Workshop 2019 

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Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration


Jul 02, 2018
Jan Rühaak, Thomas Polzin, Stefan Heldmann, Ivor J. A. Simpson, Heinz Handels, Jan Modersitzki, Mattias P. Heinrich

* IEEE Transactions on Medical Imaging, 2018, Vol. 36 (8), pp. 1746-1757 
* 12 pages, 7 figures, \c{opyright} 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission 

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