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Madsen, Dennis. A Probabilistic Surface Registration Framework with Applications to Partial Data Analysis. 2021, Doctoral Thesis, University of Basel, Faculty of Science.


Madsen, Dennis and Morel-Forster, Andreas and Kahr, Patrick and Rahbani, Dana and Vetter, Thomas and Lüthi, Marcel. (2020) A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. In: Computer Vision - ECCV 2020. 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XVII. Cham, pp. 281-296.


Madsen, Dennis and Vetter, Thomas and Lüthi, Marcel. (2019) Probabilistic Surface Reconstruction with Unknown Correspondence. In: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 11840. Cham, pp. 3-11.

Rahbani, Dana and Morel-Forster, Andreas and Madsen, Dennis and Lüthi, Marcel and Vetter, Thomas. (2019) Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation. In: LABELS 2019, HAL-MICCAI 2019, CuRIOUS 2019: Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 11851. pp. 13-21.


Madsen, Dennis and Lüthi, Marcel and Schneider, Andreas and Vetter, Thomas. (2018) Probabilistic Joint Face-Skull Modelling for Facial Reconstruction. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 5295-5303.