Goalaviour-Based Control of Heterogeneous and Distributed Smart Environments. - Sebastian Bader 001; Martin Dyrba (Intelligent Environments, 2011)

Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset. - Martin Dyrba; Michael Ewers; Martin Wegrzyn; Ingo Kilimann; Claudia Plant; Annahita Oswald; Thomas Meindl; Michela Pievani; Arun L. W. Bokde; Andreas Fellgiebel; Massimo Filippi; Harald Hampel; et al. (MBIA, 2012)

The European DTI Study on Dementia - A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment. - Katharina Brueggen; Michel J. Grothe; Martin Dyrba; Andreas Fellgiebel; Florian U. Fischer; Massimo Filippi; Federica Agosta; Peter J. Nestor; Eva M. Meisenzahl; Janusch Blautzik; Lutz Frölich; Lucrezia Hausner; et al. (NeuroImage, 2017)

Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer's Disease. - Martin Dyrba; Arjun H. Pallath; Eman N. Marzban (Bildverarbeitung für die Medizin, 2020)

Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization. - Arjun Haridas Pallath; Martin Dyrba (CoRR, 2020)

Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease. - Md Motiur Rahman Sagar; Martin Dyrba (CoRR, 2020)

Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease. - Martin Dyrba; Moritz Hanzig; Slawek Altenstein; Sebastian Bader 001; Tommaso Ballarini; Frederic Brosseron; Katharina Buerger; Daniel Cantré; Peter Dechent; Laura Dobisch; Emrah Düzel; Michael Ewers; et al. (CoRR, 2020)

Editorial: Deep Learning in Aging Neuroscience. - Javier Ramírez 001; Juan Manuel Górriz; Andrés Ortiz 001; James H. Cole; Martin Dyrba (Frontiers Neuroinformatics, 2020)

Interactive Visualization of 3D CNN Relevance Maps to Aid Model Comprehensibility - Application to the Detection of Alzheimer's Disease in MRI Images. - Martin Dyrba; Moritz Hanzig (Bildverarbeitung für die Medizin, 2021)

Identifying the diffusion source of dementia spreading in structural brain networks. - Luke Van Popering; Amirhessam Tahmassebi; Uwe Meyer-Baese; Martin Dyrba; Jorge Munilla; Andrés Ortiz 001; Anke Meyer-Baese (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2021)

Comparison of CNN Architectures for Detecting Alzheimer's Disease using Relevance Maps. - Devesh Singh; Martin Dyrba (Bildverarbeitung für die Medizin, 2023)

Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease - A systematic model evaluation. - Aditya Sai Ram Nemali; Niklas Vockert; David Berron; Anne Maaß; José Bernal; Renat Yakupov; O. Peters; D. Gref; Nicoleta Carmen Cosma; Lukas Preis; Josef Priller; Eike J. Spruth; et al. (Medical Image Anal., 2023)

Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles. - Devesh Singh; Martin Dyrba (Bildverarbeitung für die Medizin, 2024)

Evaluating the Fidelity of Explanations for Convolutional Neural Networks in Alzheimer's Disease Detection. - Bjarne C. Hiller; Sebastian Bader 001; Devesh Singh; Thomas Kirste; Martin Becker; Martin Dyrba (Bildverarbeitung für die Medizin, 2025)

Contrastive self-supervised learning for neurodegenerative disorder classification. - Vadym Gryshchuk; Devesh Singh; Stefan Teipel; Martin Dyrba (Frontiers Neuroinformatics, 2025)