Tom Nuno Wolf

About me:

I am a PhD candidate at TU Munich. I currently work on the integration of image and tabular data into explainable deep learning models for medical image analysis. 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.

E-mail: tom_nuno.wolf@tum.de

Profiles: LinkedIn; GitHub

 

Research interests:

  • Medical Image Analysis
  • Explainable AI
  • Deep Learning on Heterogeneous Data
  • Bias-Mitigation for Neural Networks
  • Self-Supervised Learning

Publications

Wolf, Tom Nuno; Bongratz, Fabian; Rickmann, Anne-Marie; Pölsterl, Sebastian; Wachinger, Christian

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Proceedings Article Forthcoming

In: AAAI Conference on Artificial Intelligence, 2024, Forthcoming.

Abstract | Links | BibTeX

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

Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank Journal Article

In: Heliyon, vol. 9, no. 11, 2023.

Links | BibTeX

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

Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease Proceedings Article

In: Information Processing in Medical Imaging (IPMI), 2023.

Abstract | Links | BibTeX

Rickmann, Anne-Marie; Xu, Murong; Wolf, Tom Nuno; Kovalenko, Oksana; Wachinger, Christian

HALOS: Hallucination-free Organ Segmentation after Organ Resection Surgery Proceedings Article

In: Information Processing in Medical Imaging (IPMI), 2023.

Abstract | Links | BibTeX

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