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2020 – today
- 2024
[j2]Raphael Schäfer
, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling:
Overcoming data scarcity in biomedical imaging with a foundational multi-task model. Nat. Comput. Sci. 4(7): 495-509 (2024)- 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) - [i2]Raphael Schäfer, Till Nicke, Henning Höfener, Annkristin Lange, Dorit Merhof, Friedrich Feuerhake, Volkmar Schulz, Johannes Lotz, Fabian Kiessling:
Overcoming Data Scarcity in Biomedical Imaging with a Foundational Multi-Task Model. CoRR abs/2311.09847 (2023) - 2022
- [c5]Stephanie Häger, Annkristin Lange, Stefan Heldmann, Jan Modersitzki, Andreas Petersik, Manuel Schröder, Heiko Gottschling, Thomas Lieth, Erich Zähringer, Jan Hendrik Moltz:
Robust Intensity-based Initialization for 2D-3D Pelvis Registration (RobIn). Bildverarbeitung für die Medizin 2022: 69-74 - 2021
- [c4]Alessa Hering, Annkristin Lange, Stefan Heldmann, Stephanie Häger, Sven Kuckertz:
Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 147-152 - [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) - 2020
- [c3]Annkristin Lange, Stefan Heldmann:
Intensity-Based 2D-3D Registration Using Normalized Gradient Fields. Bildverarbeitung für die Medizin 2020: 163-168 - [c2]Stephanie Häger, Stefan Heldmann, Alessa Hering, Sven Kuckertz, Annkristin Lange:
Variable Fraunhofer MEVIS RegLib Comprehensively Applied to Learn2Reg Challenge. MICCAI (Challenges) 2020: 74-79 - [c1]Annkristin Lange, Stefan Heldmann:
Multilevel 2D-3D Intensity-Based Image Registration. WBIR 2020: 57-66
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