Fabian Eitel - RankMe

15 papers Journal 10Unranked 4

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