Thomas Wolfers

According to our database, Thomas Wolfers authored at least 5 papers between 2020 and 2023.

Collaborative distances:

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

2023

Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.

Hao-Chun Yang, Ole A. Andreassen, Lars Tjelta Westlye, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers

CoRR, 2023

Unsupervised Anomaly Detection using Aggregated Normative Diffusion.

Alexander Frötscher, Jaivardhan Kapoor, Thomas Wolfers, Christian F. Baumgartner

CoRR, 2023

2022

Deep neural networks learn general and clinically relevant representations of the ageing brain.

Esten H. Leonardsen, Han Peng, Tobias Kaufmann, Ingrid Agartz, Ole A. Andreassen, Elisabeth Gulowsen Celius, Thomas Espeseth, Hanne F. Harbo, Einar A. Høgestøl, Ann-Marie G. de Lange, Andre F. Marquand, Dídac Vidal-Piñeiro, James M. Roe, Geir Selbæk, Øystein Sørensen, Stephen M. Smith, Lars T. Westlye, Thomas Wolfers, Yunpeng Wang

NeuroImage, 2022

Accommodating site variation in neuroimaging data using normative and hierarchical Bayesian models.

Johanna M. M. Bayer, Richard Dinga, Seyed Mostafa Kia, Akhil R. Kottaram, Thomas Wolfers, Jinglei Lv, Andrew Zalesky, Lianne Schmaal, Andre F. Marquand

NeuroImage, 2022

2020

Hierarchical Bayesian Regression for Multi-site Normative Modeling of Neuroimaging Data.

Seyed Mostafa Kia, Hester Huijsdens, Richard Dinga, Thomas Wolfers, Maarten Mennes, Ole A. Andreassen, Lars T. Westlye, Christian F. Beckmann, Andre F. Marquand

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020