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ORCIDChristian Wachinger
- > Home > Persons > Christian Wachinger
Publications
- 2021
[j19]Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger
:
Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. Medical Image Anal. 67: 101852 (2021)- 2020
- [i27]Benjamín Gutiérrez-Becker, Ignacio Sarasua, Christian Wachinger:
Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. CoRR abs/2010.00820 (2020) - 2019
- [c46]Benjamín Gutiérrez-Becker, Christian Wachinger:
Learning a Conditional Generative Model for Anatomical Shape Analysis. IPMI 2019: 505-516 - [c44]Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger:
Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. ABCD-NP@MICCAI 2019: 35-46 - [c42]Sebastian Pölsterl, Benjamín Gutiérrez-Becker, Ignacio Sarasua, Abhijit Guha Roy, Christian Wachinger:
An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. ABCD-NP@MICCAI 2019: 99-107 - [c41]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl:
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. MICCAI (4) 2019: 484-492 - [c40]Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger:
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. PKDD/ECML Workshops (1) 2019: 453-464 - [i19]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann, Sebastian Pölsterl:
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference. CoRR abs/1907.04102 (2019) - [i18]Sebastian Pölsterl, Ignacio Sarasua, Benjamín Gutiérrez-Becker, Christian Wachinger:
A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. CoRR abs/1909.03890 (2019) - 2018
- [j9]Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger:
Gaussian process uncertainty in age estimation as a measure of brain abnormality. NeuroImage 175: 246-258 (2018) - [c37]Benjamín Gutiérrez-Becker, Sergios Gatidis, Daniel Gutmann, Annette Peters, Christopher Schlett, Fabian Bamberg, Christian Wachinger:
Deep Shape Analysis on Abdominal Organs for Diabetes Prediction. ShapeMI@MICCAI 2018: 223-231 - [c35]Benjamín Gutiérrez-Becker, Christian Wachinger:
Deep Multi-structural Shape Analysis: Application to Neuroanatomy. MICCAI (3) 2018: 523-531 - [i15]Benjamín Gutiérrez-Becker, Tassilo Klein, Christian Wachinger:
Gaussian Process Uncertainty in Age Estimation as a Measure of Brain Abnormality. CoRR abs/1804.01296 (2018) - [i13]Christian Wachinger, Benjamín Gutiérrez-Becker, Anna Rieckmann:
Detect, Quantify, and Incorporate Dataset Bias: A Neuroimaging Analysis on 12, 207 Individuals. CoRR abs/1804.10764 (2018) - [i12]Benjamín Gutiérrez-Becker, Christian Wachinger:
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy. CoRR abs/1806.01069 (2018) - [i10]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) - 2017
- [c31]Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger:
A Multi-armed Bandit to Smartly Select a Training Set from Big Medical Data. MICCAI (3) 2017: 38-45 - [i3]Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger:
A Multi-Armed Bandit to Smartly Select a Training Set from Big Medical Data. CoRR abs/1705.08111 (2017)
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