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Dana Rahbani
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2020 – today
- 2021
- [c4]Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Jonathan Aellen, Thomas Vetter:
Sequential Gaussian Process Regression for Simultaneous Pathology Detection and Shape Reconstruction. MICCAI (5) 2021: 429-438 - 2020
- [c3]Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi:
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. ECCV (17) 2020: 281-296
2010 – 2019
- 2019
- [c2]Ilke Demir, Camilla Hahn, Kathryn Leonard, Géraldine Morin, Dana Rahbani, Athina Panotopoulou, Amélie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski:
SkelNetOn 2019: Dataset and Challenge on Deep Learning for Geometric Shape Understanding. CVPR Workshops 2019: 1143-1151 - [c1]Dana Rahbani, Andreas Morel-Forster, Dennis Madsen, Marcel Lüthi, Thomas Vetter:
Robust Registration of Statistical Shape Models for Unsupervised Pathology Annotation. LABELS/HAL-MICCAI/CuRIOUS@MICCAI 2019: 13-21 - [i2]Ilke Demir, Camilla Hahn, Kathryn Leonard, Géraldine Morin, Dana Rahbani, Athina Panotopoulou, Amélie Fondevilla, Elena Balashova, Bastien Durix, Adam Kortylewski:
SkelNetOn 2019 Dataset and Challenge on Deep Learning for Geometric Shape Understanding. CoRR abs/1903.09233 (2019) - [i1]Dennis Madsen, Andreas Morel-Forster, Patrick Kahr, Dana Rahbani, Thomas Vetter, Marcel Lüthi:
A Closest Point Proposal for MCMC-based Probabilistic Surface Registration. CoRR abs/1907.01414 (2019)
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