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Pflugers Archiv : European Journal of Physiology
|
October 8, 2024
Pioneering new paths: the role of generative modelling in neurological disease research
Moritz Seiler, Kerstin Ritter
Frontiers in Aging Neuroscience
|
August 17, 2019
Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification
Moritz Böhle, Fabian Eitel, Martin Weygandt, et al.
Plos Biology
|
October 28, 2025
Brain-age models with lower age prediction accuracy have higher sensitivity for disease detection
Marc-Andre Schulz, Nys Tjade Siegel, Kerstin Ritter
Scientific Reports
|
December 28, 2021
Patch individual filter layers in CNNs to harness the spatial homogeneity of neuroimaging data
Fabian Eitel, Jan Philipp Albrecht, Martin Weygandt, et al.
Frontiers in Aging Neuroscience
|
March 22, 2024
Secure federated learning for Alzheimer's disease detection
Angela Mitrovska, Pooyan Safari, Kerstin Ritter, et al.
Experimental Neurology
|
January 29, 2021
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc-André Schulz, Moritz Seiler, et al.
Alzheimer'S Research & Therapy
|
April 20, 2023
Higher performance for women than men in MRI-based Alzheimer's disease detection
Malte Klingenberg, Didem Stark, Fabian Eitel, et al.
Communications Biology
|
November 14, 2025
Generating synthetic task-based brain fingerprints for population neuroscience using deep learning
Emin Serin, Kerstin Ritter, Gunter Schumann, et al.
Human Brain Mapping
|
June 9, 2025
Do Transformers and CNNs Learn Different Concepts of Brain Age?
Nys Tjade Siegel, Dagmar Kainmueller, Fatma Deniz, et al.
Biorxiv : the Preprint Server for Biology
|
July 14, 2025
Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning
Emin Serin, Kerstin Ritter, Gunter Schumann, et al.
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of 5
Search research articles
Search
Showing results (1-10 of 42) with videos related to
Sort By:
Page
of 5
Pflugers Archiv : European Journal of Physiology
|
October 8, 2024
Pioneering new paths: the role of generative modelling in neurological disease research
Moritz Seiler, Kerstin Ritter
Frontiers in Aging Neuroscience
|
August 17, 2019
Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification
Moritz Böhle, Fabian Eitel, Martin Weygandt, et al.
Plos Biology
|
October 28, 2025
Brain-age models with lower age prediction accuracy have higher sensitivity for disease detection
Marc-Andre Schulz, Nys Tjade Siegel, Kerstin Ritter
Scientific Reports
|
December 28, 2021
Patch individual filter layers in CNNs to harness the spatial homogeneity of neuroimaging data
Fabian Eitel, Jan Philipp Albrecht, Martin Weygandt, et al.
Frontiers in Aging Neuroscience
|
March 22, 2024
Secure federated learning for Alzheimer's disease detection
Angela Mitrovska, Pooyan Safari, Kerstin Ritter, et al.
Experimental Neurology
|
January 29, 2021
Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research
Fabian Eitel, Marc-André Schulz, Moritz Seiler, et al.
Alzheimer'S Research & Therapy
|
April 20, 2023
Higher performance for women than men in MRI-based Alzheimer's disease detection
Malte Klingenberg, Didem Stark, Fabian Eitel, et al.
Communications Biology
|
November 14, 2025
Generating synthetic task-based brain fingerprints for population neuroscience using deep learning
Emin Serin, Kerstin Ritter, Gunter Schumann, et al.
Human Brain Mapping
|
June 9, 2025
Do Transformers and CNNs Learn Different Concepts of Brain Age?
Nys Tjade Siegel, Dagmar Kainmueller, Fatma Deniz, et al.
Biorxiv : the Preprint Server for Biology
|
July 14, 2025
Generating Synthetic Task-based Brain Fingerprints for Population Neuroscience Using Deep Learning
Emin Serin, Kerstin Ritter, Gunter Schumann, et al.
Page
of 5