Kerstin Ritter

28 papers A* 1Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model. CoRR Sam Gijsen, Marc-Andre Schulz, Kerstin Ritter
2025	A*	`conf`	EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping. ICML Sam Gijsen, Kerstin Ritter
2025	J	`jnl`	Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application. CoRR Nys Tjade Siegel, James H. Cole, Mohamad Habes, Stefan Haufe, Kerstin Ritter, Marc-André Schulz
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
2024	—	`conf`	DeepRepViz: Identifying Potential Confounders in Deep Learning Model Predictions. MICCAI (10) Roshan Prakash Rane, Jihoon Kim, Arjun Umesha, Didem Stark, Marc-André Schulz, Kerstin Ritter
2024	J	`jnl`	EEG-Language Modeling for Pathology Detection. CoRR Sam Gijsen, Kerstin Ritter
2024	—	`conf`	TLIMB - A Transfer Learning Framework for IMage Analysis of the Brain. EDBT/ICDT Workshops Marc-Andre Schulz, Jan Philipp Albrecht, Alpay Yilmaz, Alexander Koch, Dagmar Kainmüller, Ulf Leser, Kerstin Ritter
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`	Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. NeuroImage Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
2023	J	`jnl`	Identifying confounders in deep-learning-based model predictions using DeepRepViz. CoRR Roshan Prakash Rane, Jihoon Kim, Arjun Umesha, Didem Stark, Marc-André Schulz, Kerstin Ritter
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	—	`conf`	Data Augmentation via Partial Nonlinear Registration for Brain-Age Prediction. MLCN@MICCAI Marc-Andre Schulz, Alexander Koch, Vanessa Emanuela Guarino, Dagmar Kainmueller, Kerstin Ritter
2022	J	`jnl`	Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies. CoRR Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes
2022	J	`jnl`	Feature visualization for convolutional neural network models trained on neuroimaging data. CoRR Fabian Eitel, Anna Melkonyan, Kerstin Ritter
2022	J	`jnl`	Generating 3D TOF-MRA volumes and segmentation labels using generative adversarial networks. Medical Image Anal. 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
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
2021	J	`jnl`	The Collaborative Research Center FONDA. Datenbank-Spektrum 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
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	—	`ed.`	OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging - Second International Workshop, OR 2.0 2019, and Second International Workshop, MLCN 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings OR/MLCN@MICCAI Luping Zhou, Duygu Sarikaya, Seyed Mostafa Kia, Stefanie Speidel, Anand Malpani, Daniel A. Hashimoto, Mohamad Habes, Tommy Löfstedt, Kerstin Ritter, Hongzhi Wang
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
2015	J	`jnl`	Impulse control in the dorsolateral prefrontal cortex counteracts post-diet weight regain in obesity. NeuroImage Martin Weygandt, Knut Mai, Esther Dommes, Kerstin Ritter, Verena Leupelt, Joachim Spranger, John-Dylan Haynes