Thomas Wolfers

According to our database, Thomas Wolfers authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Constructing personalized characterizations of structural brain aberrations in patients with dementia using explainable artificial intelligence.

Esten H. Leonardsen, Karin Persson, Edvard Grødem, Nicola Dinsdale, Till Schellhorn, James M. Roe, Dídac Vidal-Piñeiro, Øystein Sørensen, Tobias Kaufmann, Eric Westman, Andre F. Marquand, Geir Selbæk, Ole A. Andreassen, Thomas Wolfers, Lars T. Westlye, Yunpeng Wang

npj Digit. Medicine, 2024

Self-Supervised Masked Mesh Learning for Unsupervised Anomaly Detection on 3D Cortical Surfaces.

Hao-Chun Yang, Sicheng Dai, Saige Rutherford, Christian Gaser, Andre F. Marquand, Christian F. Beckmann, Thomas Wolfers

CoRR, 2024

To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling.

Saige Rutherford, Thomas Wolfers, Charlotte J. Fraza, Nathaniel G. Harrnet, Christian F. Beckmann, Henricus G. Ruhe, Andre F. Marquand

CoRR, 2024

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

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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