Jordan J. Bannister

According to our database, Jordan J. Bannister authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Learnable Fractal Flames.

Jordan J. Bannister, Derek Nowrouzezahrai

CoRR, 2024

2023

Computer-Assisted Diagnosis of Genetic Syndromes Using 3D Facial Surface Scans.

Jordan J. Bannister

PhD thesis, 2023

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

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

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

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

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

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

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