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Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease., , , , , , , , , and 30 other author(s). CoRR, (2020)Comparison of CNN Architectures for Detecting Alzheimer's Disease using Relevance Maps., and . Bildverarbeitung für die Medizin, page 238-243. Springer, (2023)Identifying the diffusion source of dementia spreading in structural brain networks., , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11600 of SPIE Proceedings, SPIE, (2021)Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles., and . Bildverarbeitung für die Medizin, page 149-154. Springer, (2024)Interactive Visualization of 3D CNN Relevance Maps to Aid Model Comprehensibility - Application to the Detection of Alzheimer's Disease in MRI Images., and . Bildverarbeitung für die Medizin, page 317-322. Springer, (2021)The European DTI Study on Dementia - A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment., , , , , , , , , and 11 other author(s). NeuroImage, (2017)Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer's Disease., , and . Bildverarbeitung für die Medizin, page 307-312. Springer, (2020)