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Christopher Schlett
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2020 – today
- 2022
- [i3]Tobias Bernecker, Annette Peters, Christopher L. Schlett, Fabian Bamberg, Fabian J. Theis, Daniel Rueckert, Jakob Weiß, Shadi Albarqouni:
FedNorm: Modality-Based Normalization in Federated Learning for Multi-Modal Liver Segmentation. CoRR abs/2205.11096 (2022) - 2020
- [c2]Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl
, Daniel Gutmann, Sergios Gatidis
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. MLMI@MICCAI 2020: 270-280 - [i2]Jyotirmay Senapati, Abhijit Guha Roy, Sebastian Pölsterl, Daniel Gutmann, Sergios Gatidis, Christopher Schlett, Annette Peters, Fabian Bamberg, Christian Wachinger:
Bayesian Neural Networks for Uncertainty Estimation of Imaging Biomarkers. CoRR abs/2008.12680 (2020)
2010 – 2019
- 2018
- [c1]Benjamín Gutiérrez-Becker, Sergios Gatidis
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. ShapeMI@MICCAI 2018: 223-231 - [i1]Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger:
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. CoRR abs/1808.01946 (2018)
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