Combining 3D Image and Tabular Data via the Dynamic Affine Feature Map Transform. - Sebastian Pölsterl; Tom Nuno Wolf; Christian Wachinger (MICCAI (5), 2021)

DAFT: A universal module to interweave tabular data and 3D images in CNNs. - Tom Nuno Wolf; Sebastian Pölsterl; Christian Wachinger; Alzheimer's Disease Neuroimaging Initiative; Australian Imaging Biomarkers Lifestyle flagship study of ageing (NeuroImage, 2022)

HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery. - Anne-Marie Rickmann; Murong Xu; Tom Nuno Wolf; Oksana P. Kovalenko; Christian Wachinger (IPMI, 2023)

Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease. - Tom Nuno Wolf; Sebastian Pölsterl; Christian Wachinger (IPMI, 2023)

Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning. - Tom Nuno Wolf; Fabian Bongratz; Anne-Marie Rickmann; Sebastian Pölsterl; Christian Wachinger (AAAI, 2024)

From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data. - Yitong Li; Tom Nuno Wolf; Sebastian Pölsterl; Igor Yakushev; Dennis M. Hedderich; Christian Wachinger (MIDL, 2024)

WASUP: Interpretable Classification with Weight-Input Alignment and Class-Discriminative SUPports Vectors. - Tom Nuno Wolf; Christian Wachinger (CoRR, 2025)

DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation. - Emre Kavak; Tom Nuno Wolf; Christian Wachinger (CoRR, 2025)

X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis. - Fabian Bongratz; Tom Nuno Wolf; Jaume Gual Ramon; Christian Wachinger (CoRR, 2025)