Hanna Siebert

19 papers B 3Journal 9Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Abstract: ConvexAdam - Self-configuring Framework for Dual-Optimisation-based 3D Multitask Medical Image Registration.
Bildverarbeitung für die Medizin
Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2025 J jnl
ConvexAdam: Self-Configuring Dual-Optimization-Based 3D Multitask Medical Image Registration.
IEEE Trans. Medical Imaging
Hanna Siebert, Christoph Großbröhmer, Lasse Hansen, Mattias P. Heinrich
2023 J jnl
Attention-augmented U-Net (AA-U-Net) for semantic segmentation.
Signal Image Video Process.
Kumar T. Rajamani, Priya Rani, Hanna Siebert, Elagiri Ramalingam Rajkumar, Mattias P. Heinrich
2023 B conf
Highly accurate deep registration networks for large deformation estimation in compression ultrasound.
Image Processing
Laura F. Graf, Hanna Siebert, Sven Mischkewitz, Ron Keuth, Mattias P. Heinrich
2023 J jnl
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging
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
2023 J jnl
Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation.
Sensors
Mattias P. Heinrich, Hanna Siebert, Laura Graf, Sven Mischkewitz, Lasse Hansen
2022 — conf
Employing ConvexAdam for BraTS-Reg.
BrainLes@MICCAI
Christoph Großbröhmer, Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2022 — conf
Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation.
WBIR
Hanna Siebert, Mattias P. Heinrich
2022 J jnl
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students.
CoRR
Hanna Siebert, Marian Himstedt, Mattias P. Heinrich
2022 J jnl
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints.
Sensors
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2022 — conf
Weak Bounding Box Supervision for Image Registration Networks.
WBIR
Mona Schumacher, Hanna Siebert, Ragnar Bade, Andreas Genz, Mattias P. Heinrich
2021 B conf
DA-AR-Net: an attentive activation based Deformable auto-encoder for group-wise registration.
Image Processing
Prateek Gupta, Hanna Siebert, Mattias P. Heinrich, Kumar T. Rajamani
2021 J jnl
Dynamic deformable attention network (DDANet) for COVID-19 lesions semantic segmentation.
J. Biomed. Informatics
Kumar T. Rajamani, Hanna Siebert, Mattias P. Heinrich
2021 — conf
Evaluating Design Choices for Deep Learning Registration Networks - Architecture Matters.
Bildverarbeitung für die Medizin
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021 — conf
Fast 3D Registration with Accurate Optimisation and Little Learning for Learn2Reg 2021.
MIDOG/MOOD/Learn2Reg@MICCAI
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021 J jnl
Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021.
CoRR
Hanna Siebert, Lasse Hansen, Mattias P. Heinrich
2021 J jnl
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR
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
2021 B conf
Learning inverse consistent 3D groupwise registration with deforming autoencoders.
Image Processing
Hanna Siebert, Kumar T. Rajamani, Mattias P. Heinrich
2020 — conf
Deep Groupwise Registration of MRI Using Deforming Autoencoders.
Bildverarbeitung für die Medizin
Hanna Siebert, Mattias P. Heinrich