Ritter, Kerstin

1. Testing the robustness of attribution methods for convolutional neural\n networks in MRI-based Alzheimer's disease classification
   2019/09/19 by Fabian Eitel, Kerstin Ritter, Eitel, Fabian +1 · 1 citation
   Neuroscience · Engineering · Computer Science · #Brain Tumor Detection and Classification #Medical Imaging and Analysis #Machine Learning in Healthcare
2. EEG-Language Pretraining for Highly Label-Efficient Clinical Phenotyping
   2024/09/02 by Sam Gijsen, Kerstin Ritter, Gijsen, Sam +1 · 2 citations
   Neuroscience · #Artificial Intelligence (cs.AI) #Brain Tumor Detection and Classification #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
3. Benchmarking the Influence of Pre-training on Explanation Performance in MR Image Classification
   2023/06/21 by Marta Oliveira, Rick Wilming, Oliveira, Marta +11 · 1 citation
   Computer Science · Engineering · Medicine · #Advanced X-ray and CT Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging
4. Brain-Semantoks: Learning Semantic Tokens of Brain Dynamics with a Self-Distilled Foundation Model
   2025/12/12 by Gijsen, Sam, Schulz, Marc-Andre, Ritter, Kerstin · 1 citation
   Computer Science · Neuroscience · #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Biological sciences #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)