Hanna Siebert

According to our database, Hanna Siebert authored at least 16 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Attention-augmented U-Net (AA-U-Net) for semantic segmentation.

Kumar T. Rajamani, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich

Signal Image Video Process., June, 2023

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 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

IEEE Trans. Medical Imaging, March, 2023

Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation.

Mattias P. Heinrich, Hanna Siebert, Laura Graf, Sven Mischkewitz, Lasse Hansen

Sensors, March, 2023

Highly accurate deep registration networks for large deformation estimation in compression ultrasound.

Laura F. Graf, Hanna Siebert, Sven Mischkewitz, Ron Keuth, Mattias P. Heinrich

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints.

Hanna Siebert, Lasse Hansen, Mattias P. Heinrich

Sensors, 2022

Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students.

Hanna Siebert, Marian Himstedt, Mattias P. Heinrich

CoRR, 2022

Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation.

Hanna Siebert, Mattias P. Heinrich

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Weak Bounding Box Supervision for Image Registration Networks.

Mona Schumacher, Hanna Siebert, Ragnar Bade, Andreas Genz, Mattias P. Heinrich

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Employing ConvexAdam for BraTS-Reg.

Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation.

Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich

J. Biomed. Informatics, 2021

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 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

CoRR, 2021

Learning inverse consistent 3D groupwise registration with deforming autoencoders.

Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration.

Prateek Gupta, Hanna Siebert, Mattias P. Heinrich, Kumar T. Rajamani

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021.

Hanna Siebert, Lasse Hansen, Mattias P. Heinrich

Proceedings of the Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis - MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021

Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters.

Hanna Siebert, Lasse Hansen, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Deep Groupwise Registration of MRI Using Deforming Autoencoders.

Hanna Siebert, Mattias P. Heinrich

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020