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Voxelmorph++ Going beyond the cranial vault with keypoint supervision and multi-channel instance optimisation



Mattias P. Heinrich , Lasse Hansen

* 10 pages, accepted at WBIR 2022 

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CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation



Reuben Dorent , Aaron Kujawa , Marina Ivory , Spyridon Bakas , Nicola Rieke , Samuel Joutard , Ben Glocker , Jorge Cardoso , Marc Modat , Kayhan Batmanghelich , Arseniy Belkov , Maria Baldeon Calisto , Jae Won Choi , Benoit M. Dawant , Hexin Dong , Sergio Escalera , Yubo Fan , Lasse Hansen , Mattias P. Heinrich , Smriti Joshi , Victoriya Kashtanova , Hyeon Gyu Kim , Satoshi Kondo , Christian N. Kruse , Susana K. Lai-Yuen , Hao Li , Han Liu , Buntheng Ly , Ipek Oguz , Hyungseob Shin , Boris Shirokikh , Zixian Su , Guotai Wang , Jianghao Wu , Yanwu Xu , Kai Yao , Li Zhang , Sebastien Ourselin , Jonathan Shapey , Tom Vercauteren

* Submitted to Medical Image Analysis 

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



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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Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021



Hanna Siebert , Lasse Hansen , Mattias P. Heinrich


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Deep learning based geometric registration for medical images: How accurate can we get without visual features?



Lasse Hansen , Mattias P. Heinrich

* accepted at IPMI 2021 

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Development and Characterization of a Chest CT Atlas



Kaiwen Xu , Riqiang Gao , Mirza S. Khan , Shunxing Bao , Yucheng Tang , Steve A. Deppen , Yuankai Huo , Kim L. Sandler , Pierre P. Massion , Mattias P. Heinrich , Bennett A. Landman

* Accepted by SPIE2021 Medical Imaging (oral) 

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Tackling the Problem of Large Deformations in Deep Learning Based Medical Image Registration Using Displacement Embeddings



Lasse Hansen , Mattias P. Heinrich


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Learning to map between ferns with differentiable binary embedding networks



Max Blendowski , Mattias P. Heinrich


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Segmentation of Retinal Low-Cost Optical Coherence Tomography Images using Deep Learning



Timo Kepp , Helge Sudkamp , Claus von der Burchard , Hendrik Schenke , Peter Koch , Gereon Hüttmann , Johann Roider , Mattias P. Heinrich , Heinz Handels

* Accepted for SPIE Medical Imaging 2020: Computer-Aided Diagnosis 

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