Martin Dyrba - RankMe

18 papers B 2Journal 8Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Comparison of Post-hoc Calibration Methods for Neural Network Likelihood Scores. Bildverarbeitung für die Medizin Ole H. Martensen, Tobias Strauß, Majid Ramedani, Martin Dyrba
2025	J	`jnl`	Contrastive self-supervised learning for neurodegenerative disorder classification. Frontiers Neuroinformatics Vadym Gryshchuk, Devesh Singh, Stefan Teipel, Martin Dyrba
2025	—	`conf`	Evaluating the Fidelity of Explanations for Convolutional Neural Networks in Alzheimer's Disease Detection. Bildverarbeitung für die Medizin Bjarne C. Hiller, Sebastian Bader, Devesh Singh, Thomas Kirste, Martin Becker, Martin Dyrba
2025	B	`conf`	Integrating Large Language Models with Formal Planning to Automate the Design and Validation of Biosignal Processing Pipelines. ICTAI João Areias Saraiva, Martin Dyrba, Thomas Kirste
2025	J	`jnl`	SMAS: Structural MRI-based AD Score using Bayesian supervised VAE. Comput. Biol. Medicine Aditya Sai Ram Nemali, José Bernal, Renat Yakupov, D. Singh, Martin Dyrba, Enise Incesoy, S. Mukherjee, Oliver Peters, E. Ersözlü, J. Hellmann-Regen, Lukas Preis, Josef Priller, Eike J. Spruth, S. Altenstein, A. Lohse, Anja Schneider, K. Fliessbach, O. Kimmich, Jens Wiltfang, N. Hansen, Björn H. Schott, A. Rostamzadeh, Wenzel Glanz, Michaela Butryn, Katharina Buerger, D. Janowitz, M. Ewers, Robert Perneczky, Boris-Stephan Rauchmann, Stefan Teipel, Ingo Kilimann, Doreen Görß, Christoph Laske, S. Sodenkamp, Annika Spottke, M. Coenjaerts, Frederic Brosseron, F. Lüsebrink, Peter Dechent, Klaus Scheffler, S. Hetzer, L. Kleineidam, M. Stark, Frank Jessen, Emrah Düzel, G. Ziegler
2024	—	`conf`	Computational Ontology and Visualization Framework for the Visual Comparison of Brain Atrophy Profiles. Bildverarbeitung für die Medizin Devesh Singh, Martin Dyrba
2023	—	`conf`	Comparison of CNN Architectures for Detecting Alzheimer's Disease using Relevance Maps. Bildverarbeitung für die Medizin Devesh Singh, Martin Dyrba
2023	J	`jnl`	Gaussian Process-based prediction of memory performance and biomarker status in ageing and Alzheimer's disease - A systematic model evaluation. Medical Image Anal. Aditya Sai Ram Nemali, Niklas Vockert, David Berron, Anne Maaß, José Bernal, Renat Yakupov, Oliver Peters, Daria Gref, Nicoleta Carmen Cosma, Lukas Preis, Josef Priller, Eike J. Spruth, S. Altenstein, A. Lohse, K. Fliessbach, O. Kimmich, I. Vogt, Jens Wiltfang, N. Hansen, Claudia Bartels, Björn H. Schott, Franziska Maier, Dix 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
2021	—	`conf`	Identifying the diffusion source of dementia spreading in structural brain networks. Biomedical Applications in Molecular, Structural, and Functional Imaging Luke Van Popering, Amirhessam Tahmassebi, Uwe Meyer-Baese, Martin Dyrba, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese
2021	—	`conf`	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 Martin Dyrba, Moritz Hanzig
2020	—	`conf`	Comparison of CNN Visualization Methods to Aid Model Interpretability for Detecting Alzheimer's Disease. Bildverarbeitung für die Medizin Martin Dyrba, Arjun H. Pallath, Eman N. Marzban
2020	J	`jnl`	Comparison of Convolutional neural network training parameters for detecting Alzheimers disease and effect on visualization. CoRR Arjun Haridas Pallath, Martin Dyrba
2020	J	`jnl`	Editorial: Deep Learning in Aging Neuroscience. Frontiers Neuroinformatics Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba
2020	J	`jnl`	Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease. CoRR 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
2020	J	`jnl`	Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease. CoRR Md Motiur Rahman Sagar, Martin Dyrba
2017	J	`jnl`	The European DTI Study on Dementia - A multicenter DTI and MRI study on Alzheimer's disease and Mild Cognitive Impairment. NeuroImage 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
2012	—	`conf`	Combining DTI and MRI for the Automated Detection of Alzheimer's Disease Using a Large European Multicenter Dataset. MBIA 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
2011	B	`conf`	Goalaviour-Based Control of Heterogeneous and Distributed Smart Environments. Intelligent Environments Sebastian Bader, Martin Dyrba