Kerstin Ritter

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 22

Top Topics

Magnetic Resonance Images

Image Classification

Structured Sparse Learning

Top Venues

Datenbank-Spektrum

Publications

Marc-Andre Schulz, Jan Philipp Albrecht, Alpay Yilmaz, Alexander Koch, Dagmar Kainmüller, Ulf Leser, Kerstin Ritter
TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain. EDBT/ICDT Workshops (2024)
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)
Roshan Prakash Rane, JiHoon Kim, Arjun Umesha, Didem Stark, Marc-André Schulz, Kerstin Ritter
Identifying confounders in deep-learning-based model predictions using DeepRepViz. CoRR (2023)
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)
Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. NeuroImage 269 (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)
Pooja Subramaniam, Tabea Kossen, Kerstin Ritter, Anja Hennemuth, Kristian Hildebrand, Adam Hilbert, Jan Sobesky, Michelle Livne, Ivana Galinovic, Ahmed A. Khalil, Jochen B. Fiebach, Dietmar Frey, Vince I. Madai
Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks. Medical Image Anal. 78 (2022)
Marc-Andre Schulz, Alexander Koch, Vanessa Emanuela Guarino, Dagmar Kainmueller, Kerstin Ritter
Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction. MLCN@MICCAI (2022)
Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. CoRR (2022)
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)
Ulf Leser, Marcus Hilbrich, Claudia Draxl, Peter Eisert, Lars Grunske, Patrick Hostert, Dagmar Kainmüller, Odej Kao, Birte Kehr, Timo Kehrer, Christoph Koch, Volker Markl, Henning Meyerhenke, Tilmann Rabl, Alexander Reinefeld, Knut Reinert, Kerstin Ritter, Björn Scheuermann, Florian Schintke, Nicole Schweikardt, Matthias Weidlich
The Collaborative Research Center FONDA. Datenbank-Spektrum 21 (3) (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)
Martin Weygandt, Knut Mai, Esther Dommes, Kerstin Ritter, Verena Leupelt, Joachim Spranger, John-Dylan Haynes
Impulse control in the dorsolateral prefrontal cortex counteracts post-diet weight regain in obesity. NeuroImage 109 (2015)