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Journal Articles
- 2023
[j3]Aditya Sai Ram Nemali
, Niklas Vockert, David Berron, Anne Maaß, José Bernal, Renat Yakupov, O. Peters, D. Gref, Nicoleta Carmen Cosma, Lukas Preis, J. Priller, Eike J. Spruth, S. Altenstein, A. Lohse, K. Fliessbach, O. Kimmich, I. Vogt, Jens Wiltfang, N. Hansen, Claudia Bartels, B. H. Schott, Franziska Maier, D. Meiberth, Wenzel Glanz, Enise Incesoy, Michaela Butryn, Katharina Buerger, D. Janowitz, R. Pernecky, Boris-Stephan Rauchmann, L. Burow, Stefan Teipel, Ingo Kilimann, Doreen Görß, Martin Dyrba, C. Laske, Matthias H. Munk, C. Sanzenbacher, S. Müller, Annika Spottke, N. Roy, Michael T. Heneka, Frederic Brosseron, Sandra Roeske, L. Dobisch, Alfredo Ramirez, M. Ewers, P. Dechent, Klaus Scheffler, L. Kleineidam, S. Wolfsgruber, Michael Wagner, Frank Jessen, Emrah Düzel, G. Ziegler:
Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease - A systematic model evaluation. Medical Image Anal. 90: 102913 (2023)- 2020
- [j2]Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba:
Editorial: Deep Learning in Aging Neuroscience. Frontiers Neuroinformatics 14: 573974 (2020) - 2017
- [j1]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, Arun L. W. Bokde, Giovanni B. Frisoni, Michela Pievani, Stefan Klöppel, David Prvulovic, Frederik Barkhof, Petra J. W. Pouwels, Johannes Schröder, Harald Hampel:
The European DTI Study on Dementia - A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment. NeuroImage 144: 305-308 (2017)
Conference and Workshop Papers
- 2024
- [c7]Devesh Singh, Martin Dyrba:
Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles. Bildverarbeitung für die Medizin 2024: 149-154 - 2023
- [c6]Devesh Singh, Martin Dyrba:
Comparison of CNN Architectures for Detecting Alzheimer's Disease using Relevance Maps. Bildverarbeitung für die Medizin 2023: 238-243 - 2021
- [c5]Martin Dyrba, Moritz Hanzig:
Interactive Visualization of 3D CNN Relevance Maps to Aid Model Comprehensibility - Application to the Detection of Alzheimer's Disease in MRI Images. Bildverarbeitung für die Medizin 2021: 317-322 - [c4]Luke Van Popering, Amirhessam Tahmassebi, Uwe Meyer-Baese, Martin Dyrba, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese:
Identifying the diffusion source of dementia spreading in structural brain networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [c3]Martin Dyrba, Arjun H. Pallath, Eman N. Marzban:
Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer's Disease. Bildverarbeitung für die Medizin 2020: 307-312 - 2012
- [c2]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, Stefan Klöppel, Karlheinz Hauenstein, Thomas Kirste, Stefan J. Teipel:
Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset. MBIA 2012: 18-28 - 2011
- [c1]Sebastian Bader, Martin Dyrba:
Goalaviour-Based Control of Heterogeneous and Distributed Smart Environments. Intelligent Environments 2011: 142-148
Informal and Other Publications
- 2020
- [i3]Arjun Haridas Pallath, Martin Dyrba:
Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization. CoRR abs/2008.07981 (2020) - [i2]Md Motiur Rahman Sagar, Martin Dyrba:
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease. CoRR abs/2009.05023 (2020) - [i1]Martin Dyrba, Moritz Hanzig, Slawek Altenstein, Sebastian Bader, Tommaso Ballarini, Frederic Brosseron, Katharina Buerger, Daniel Cantré, Peter Dechent, Laura Dobisch, Emrah Düzel, Michael Ewers, Klaus Fliessbach, Wenzel Glanz, John D. Haynes, Michael T. Heneka, Daniel Janowitz, Deniz Baris Keles, Ingo Kilimann, Christoph Laske, Franziska Maier, Coraline D. Metzger, Matthias H. Munk, Robert Perneczky, Oliver Peters, Lukas Preis, Josef Priller, Boris Rauchmann, Nina Roy, Klaus Scheffler, Anja Schneider, Björn H. Schott, Annika Spottke, Eike J. Spruth, Marc-André Weber, Birgit Ertl-Wagner, Michael Wagner, Jens Wiltfang, Frank Jessen, Stefan J. Teipel:
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease. CoRR abs/2012.10294 (2020)
Coauthor Index
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last updated on 2024-10-07 22:11 CEST by the dblp team
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