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Fabian Eitel
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 14
Top Topics
Mri Data
Neural Network
Mr Images
Image Classification
Top Venues
CoRR
MLCN/DLF/iMIMIC@MICCAI
ABCD-NP@MICCAI
Frontiers Artif. Intell.
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Publications
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Marta Oliveira
,
Rick Wilming
,
Benedict Clark
,
Céline Budding
,
Fabian Eitel
,
Kerstin Ritter
,
Stefan Haufe
Benchmarking the influence of pre-training on explanation performance in MR image classification.
Frontiers Artif. Intell.
7 (2024)
Fabian Eitel
,
Marc-André Schulz
,
Moritz Seiler
,
Henrik Walter
,
Kerstin Ritter
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research.
CoRR
(2023)
Marta Oliveira
,
Rick Wilming
,
Benedict Clark
,
Céline Budding
,
Fabian Eitel
,
Kerstin Ritter
,
Stefan Haufe
Benchmark data to study the influence of pre-training on explanation performance in MR image classification.
CoRR
(2023)
Fabian Eitel
,
Anna Melkonyan
,
Kerstin Ritter
Feature visualization for convolutional neural network models trained on neuroimaging data.
CoRR
(2022)
Céline Budding
,
Fabian Eitel
,
Kerstin Ritter
,
Stefan Haufe
Evaluating saliency methods on artificial data with different background types.
CoRR
(2021)
Malte Klingenberg
,
Didem Stark
,
Fabian Eitel
,
Kerstin Ritter
MRI Image Registration Considerably Improves CNN-Based Disease Classification.
MLCN@MICCAI
(2021)
Fabian Eitel
,
Jan Philipp Albrecht
,
Martin Weygandt
,
Friedemann Paul
,
Kerstin Ritter
Harnessing spatial homogeneity of neuroimaging data: patch individual filter layers for CNNs.
CoRR
(2020)
Fabian Eitel
,
Jan Philipp Albrecht
,
Friedemann Paul
,
Kerstin Ritter
Harnessing spatial MRI normalization: patch individual filter layers for CNNs.
CoRR
(2019)
Fabian Eitel
,
Kerstin Ritter
Testing the Robustness of Attribution Methods for Convolutional Neural Networks in MRI-Based Alzheimer's Disease Classification.
iMIMIC/ML-CDS@MICCAI
(2019)
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
Uncovering convolutional neural network decisions for diagnosing multiple sclerosis on conventional MRI using layer-wise relevance propagation.
CoRR
(2019)
Shikhar Srivastava
,
Fabian Eitel
,
Kerstin Ritter
Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach.
ABCD-NP@MICCAI
(2019)
Fabian Eitel
,
Kerstin Ritter
Testing the robustness of attribution methods for convolutional neural networks in MRI-based Alzheimer's disease classification.
CoRR
(2019)
Johannes Rieke
,
Fabian Eitel
,
Martin Weygandt
,
John-Dylan Haynes
,
Kerstin Ritter
Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer's Disease.
CoRR
(2018)
Johannes Rieke
,
Fabian Eitel
,
Martin Weygandt
,
John-Dylan Haynes
,
Kerstin Ritter
Visualizing Convolutional Networks for MRI-Based Diagnosis of Alzheimer's Disease.
MLCN/DLF/iMIMIC@MICCAI
(2018)