Hanna Siebert
Orcid: 0000-0003-1651-6960
According to our database1,
Hanna Siebert
authored at least 16 papers
between 2020 and 2023.
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2023
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Bibliography
2023
Signal Image Video Process., June, 2023
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning.
IEEE Trans. Medical Imaging, March, 2023
Robust and Realtime Large Deformation Ultrasound Registration Using End-to-End Differentiable Displacement Optimisation.
Sensors, March, 2023
Highly accurate deep registration networks for large deformation estimation in compression ultrasound.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
2022
Learning a Metric for Multimodal Medical Image Registration without Supervision Based on Cycle Constraints.
Sensors, 2022
Learn2Trust: A video and streamlit-based educational programme for AI-based medical image analysis targeted towards medical students.
CoRR, 2022
Learn to Fuse Input Features for Large-Deformation Registration with Differentiable Convex-Discrete Optimisation.
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022
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.
J. Biomed. Informatics, 2021
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning.
CoRR, 2021
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.
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.
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.
Proceedings of the Bildverarbeitung für die Medizin 2021, 2021
2020
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020