Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer's Disease. - Johannes Rieke; Fabian Eitel; Martin Weygandt; John-Dylan Haynes; Kerstin Ritter (MLCN/DLF/iMIMIC@MICCAI, 2018)

Testing the Robustness of Attribution Methods for Convolutional Neural Networks in MRI-Based Alzheimer's Disease Classification. - Fabian Eitel; Kerstin Ritter (iMIMIC/ML-CDS@MICCAI, 2019)

Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach. - Shikhar Srivastava 002; Fabian Eitel; Kerstin Ritter (ABCD-NP@MICCAI, 2019)

Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation. - Fabian Eitel; Emily Soehler; Judith Bellmann-Strobl; Alexander Ulrich Brandt; Klemens Ruprecht; René M. Giess; Joseph Kuchling; Susanna Asseyer; Martin Weygandt; John-Dylan Haynes; Michael Scheel; Friedemann Paul; et al. (CoRR, 2019)

Harnessing spatial MRI normalization: patch individual filter layers for CNNs. - Fabian Eitel; Jan Philipp Albrecht; Friedemann Paul; Kerstin Ritter (CoRR, 2019)

Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs. - Fabian Eitel; Jan Philipp Albrecht; Martin Weygandt; Friedemann Paul; Kerstin Ritter (CoRR, 2020)

MRI Image Registration Considerably Improves CNN-Based Disease Classification. - Malte Klingenberg; Didem Stark; Fabian Eitel; Kerstin Ritter (MLCN@MICCAI, 2021)

Evaluating saliency methods on artificial data with different background types. - Céline Budding; Fabian Eitel; Kerstin Ritter; Stefan Haufe (CoRR, 2021)

Feature visualization for convolutional neural network models trained on neuroimaging data. - Fabian Eitel; Anna Melkonyan; Kerstin Ritter (CoRR, 2022)

Explainable deep learning classifiers for disease detection based on structural brain MRI data - Fabian Eitel (2022)

Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research. - Fabian Eitel; Marc-André Schulz; Moritz Seiler; Henrik Walter; Kerstin Ritter (CoRR, 2023)

Benchmark data to study the influence of pre-training on explanation performance in MR image classification. - Marta Oliveira; Rick Wilming; Benedict Clark; Céline Budding; Fabian Eitel; Kerstin Ritter; Stefan Haufe (CoRR, 2023)

Benchmarking the influence of pre-training on explanation performance in MR image classification. - Marta Oliveira; Rick Wilming; Benedict Clark; Céline Budding; Fabian Eitel; Kerstin Ritter; Stefan Haufe (Frontiers Artif. Intell., 2024)