Sönke Langner

According to our database, Sönke Langner authored at least 8 papers between 2008 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Invertible Modeling of Bidirectional Relationships in Neuroimaging With Normalizing Flows: Application to Brain Aging.

Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert

IEEE Trans. Medical Imaging, 2022

An analysis of the effects of limited training data in distributed learning scenarios for brain age prediction.

Raissa Souza, Pauline Mouches, Matthias Wilms, Anup Tuladhar, Sönke Langner, Nils D. Forkert

J. Am. Medical Informatics Assoc., 2022

Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model.

Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Sönke Langner, Nils D. Forkert

Proceedings of the Medical Applications with Disentanglements - First MICCAI Workshop, 2022

2021

CFD validation using in-vitro MRI velocity data - Methods for data matching and CFD error quantification.

Carolin Wüstenhagen, Kristine John, Sönke Langner, Martin Brede, Sven Grundmann, Martin Bruschewski

Comput. Biol. Medicine, 2021

Unifying Brain Age Prediction and Age-Conditioned Template Generation with a Deterministic Autoencoder.

Pauline Mouches, Matthias Wilms, Deepthi Rajashekar, Sönke Langner, Nils Daniel Forkert

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows.

Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

2020

Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows.

Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Sönke Langner, Nils D. Forkert

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2008

Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres.

Martin Domin, Sönke Langner, Norbert Hosten, Lars Linsen

Proceedings of the Visualization in Medicine and Life Sciences., 2008