Fabian Eitel

According to our database, Fabian Eitel authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

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

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

2022

Explainable deep learning classifiers for disease detection based on structural brain MRI data

Fabian Eitel

PhD thesis, 2022

Feature visualization for convolutional neural network models trained on neuroimaging data.

Fabian Eitel, Anna Melkonyan, Kerstin Ritter

CoRR, 2022

2021

Evaluating saliency methods on artificial data with different background types.

Céline Budding, Fabian Eitel, Kerstin Ritter, Stefan Haufe

CoRR, 2021

MRI Image Registration Considerably Improves CNN-Based Disease Classification.

Malte Klingenberg, Didem Stark, Fabian Eitel, Kerstin Ritter

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

2020

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

2019

Harnessing spatial MRI normalization: patch individual filter layers for CNNs.

Fabian Eitel, Jan Philipp Albrecht, Friedemann Paul, Kerstin Ritter

CoRR, 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, Kerstin Ritter

CoRR, 2019

Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach.

Shikhar Srivastava, Fabian Eitel, Kerstin Ritter

Proceedings of the Adolescent Brain Cognitive Development Neurocognitive Prediction, 2019

Testing the Robustness of Attribution Methods for Convolutional Neural Networks in MRI-Based Alzheimer's Disease Classification.

Fabian Eitel, Kerstin Ritter

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support, 2019

2018

Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer's Disease.

Johannes Rieke, Fabian Eitel, Martin Weygandt, John-Dylan Haynes, Kerstin Ritter

Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018