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ORCIDHanna Siebert
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2020 – today
- 2023
[j5]Mattias P. Heinrich
, Hanna Siebert, Laura Graf, Sven Mischkewitz, Lasse Hansen:
Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation. Sensors 23(6): 2876 (2023)- [j4]Kumar T. Rajamani, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich:
Attention-augmented U-Net (AA-U-Net) for semantic segmentation. Signal Image Video Process. 17(4): 981-989 (2023) - [j3]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) - [c9]Laura F. Graf, Hanna Siebert, Sven Mischkewitz, Ron Keuth, Mattias P. Heinrich:
Highly accurate deep registration networks for large deformation estimation in compression ultrasound. Image Processing 2023 - 2022
- [j2]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints. Sensors 22(3): 1107 (2022) - [c8]Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Employing ConvexAdam for BraTS-Reg. BrainLes@MICCAI 2022: 252-261 - [c7]Hanna Siebert, Mattias P. Heinrich:
Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation. WBIR 2022: 119-123 - [c6]Mona Schumacher, Hanna Siebert, Ragnar Bade, Andreas Genz, Mattias P. Heinrich:
Weak Bounding Box Supervision for Image Registration Networks. WBIR 2022: 215-219 - [i3]Hanna Siebert, Marian Himstedt, Mattias P. Heinrich:
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students. CoRR abs/2208.07314 (2022) - 2021
- [j1]Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich:
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation. J. Biomed. Informatics 119: 103816 (2021) - [c5]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters. Bildverarbeitung für die Medizin 2021: 111-116 - [c4]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021. MIDOG/MOOD/Learn2Reg@MICCAI 2021: 174-179 - [c3]Prateek Gupta, Hanna Siebert, Mattias P. Heinrich, Kumar T. Rajamani:
DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration. Image Processing 2021 - [c2]Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich:
Learning inverse consistent 3D groupwise registration with deforming autoencoders. Image Processing 2021 - [i2]Hanna Siebert, Lasse Hansen, Mattias P. Heinrich:
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021. CoRR abs/2112.03053 (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) - 2020
- [c1]Hanna Siebert, Mattias P. Heinrich:
Deep Groupwise Registration of MRI Using Deforming Autoencoders. Bildverarbeitung für die Medizin 2020: 236-241
Coauthor Index
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