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 (MLCN/RNO-AI@MICCAI, 2020)

Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images. - Jordan J. Bannister; Sebastian Crites; J. David Aponte; David C. Katz; Matthias Wilms; Ophir D. Klein; Francois P. J. Bernier; Richard A. Spritz; Benedikt Hallgrímsson; Nils D. Forkert (Sensors, 2020)

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 (MLCN@MICCAI, 2021)

Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model. - Matthias Wilms; Pauline Mouches; Jordan J. Bannister; Sönke Langner; Nils D. Forkert (MAD@MICCAI, 2022)

Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models. - Jordan J. Bannister; Matthias Wilms; J. David Aponte; David C. Katz; Ophir D. Klein; Francois P. J. Bernier; Richard A. Spritz; Benedikt Hallgrímsson; Nils D. Forkert (Artif. Intell. Medicine, 2022)

A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis. - Jordan J. Bannister; Matthias Wilms; J. David Aponte; David C. Katz; Ophir D. Klein; Francois P. J. Bernier; Richard A. Spritz; Benedikt Hallgrímsson; Nils D. Forkert (IEEE J. Biomed. Health Informatics, 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)

Computer-Assisted Diagnosis of Genetic Syndromes Using 3D Facial Surface Scans. - Jordan J. Bannister (2023)

Learnable Fractal Flames. - Jordan J. Bannister; Derek Nowrouzezahrai (CoRR, 2024)