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Christoph Großbröhmer
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Journal Articles
- 2023
- [j1]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 A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, 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, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023)
Conference and Workshop Papers
- 2024
- [c9]Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich:
Abstract: Combined 3D Dataset for CT- and Point Cloud-based Intra-patient Lung Registration Lung250M-4B. Bildverarbeitung für die Medizin 2024: 53 - [c8]Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen:
Abstract: Advancing Large-scale Deformable 3D Registration with Differentiable Volumetric Rasterisation of Point Clouds - Chasing Clouds. Bildverarbeitung für die Medizin 2024: 101 - [c7]Fenja Falta, Wiebke Heyer, Christoph Großbröhmer, Mattias P. Heinrich:
Unleashing Registration: Diffusion Models for Synthetic Paired 3D Training Data. WBIR 2024: 45-59 - [c6]Christoph Großbröhmer, Ziad Al-Haj Hemidi, Fenja Falta, Mattias P. Heinrich:
SINA: Sharp Implicit Neural Atlases by Joint Optimisation of Representation and Deformation. WBIR 2024: 165-180 - 2023
- [c5]Christoph Großbröhmer, Luisa Bartram, Corinna Rheinbay, Mattias P. Heinrich, Ludger Tüshaus:
Leveraging Semantic Information for Sonographic Wrist Fracture Assessment Within Children. Bildverarbeitung für die Medizin 2023: 102-107 - [c4]Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen:
Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration. ICCV 2023: 7992-8002 - [c3]Christoph Großbröhmer, Mattias P. Heinrich:
Generalised 3D Medical Image Registration with Learned Shape Encodings. MIUA 2023: 268-280 - [c2]Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias P. Heinrich:
Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration. NeurIPS 2023 - 2022
- [c1]Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI 2022: 252-261
Informal and Other Publications
- 2021
- [i1]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 A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, 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, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR abs/2112.04489 (2021)
Coauthor Index
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