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2020 – today
- 2022
[j3]Raissa Souza
, Pauline Mouches, Matthias Wilms, Anup Tuladhar, Sönke Langner, Nils D. Forkert:
An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction. J. Am. Medical Informatics Assoc. 30(1): 112-119 (2022)- [j2]Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging. IEEE Trans. Medical Imaging 41(9): 2331-2347 (2022) - [c4]Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Sönke Langner, Nils D. Forkert:
Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model. MAD@MICCAI 2022: 95-107 - 2021
- [j1]Carolin Wüstenhagen, Kristine John, Sönke Langner, Martin Brede, Sven Grundmann, Martin Bruschewski:
CFD validation using in-vitro MRI velocity data - Methods for data matching and CFD error quantification. Comput. Biol. Medicine 131: 104230 (2021) - [c3]Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows. MLCN@MICCAI 2021: 23-33 - [c2]Pauline Mouches, Matthias Wilms, Deepthi Rajashekar, Sönke Langner, Nils Daniel Forkert:
Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder. MIDL 2021: 497-506 - 2020
- [c1]Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. MLCN/RNO-AI@MICCAI 2020: 23-33 - [i1]Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert:
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. CoRR abs/2011.13484 (2020)
2000 – 2009
- 2008
- [p1]Martin Domin, Sönke Langner, Norbert Hosten, Lars Linsen:
Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres. Visualization in Medicine and Life Sciences 2008: 185-204
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