Tom Nuno Wolf

About me:

I am a PhD candidate at TU Munich. I currently conduct research to integrate heterogeneous data in deep learning models for medical image analysis. Closely related, I work on causal inference for such models. Previously, I was a researcher in the biomedical image analysis group at VRVis and the Laboratory for Artificial Intelligence in Medical Imaging at LMU. I completed my master’s degree in Biomedical Computing at TU Munich.


Profiles: LinkedIn; GitHub



Research interests:

  • Medical Image Analysis
  • Deep Learning on Heterogeneous Data
  • Interpretability and Deconfounding of Neural Networks
  • Unsupervised Learning and Meta-Learning


Wolf, Tom Nuno; Pölsterl, Sebastian; Wachinger, Christian

DAFT: A Universal Module to Interweave Tabular Data and 3D Images in CNNs Journal Article

In: NeuroImage, pp. 119505, 2022.

Abstract | Links | BibTeX

Pölsterl, Sebastian; Wolf, Tom Nuno; Wachinger, Christian

Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform Conference

Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

Abstract | Links | BibTeX