Publications by authors named "Matthias Wilms"

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A novel gradient inversion attack framework to investigate privacy vulnerabilities during retinal image-based federated learning.
Christopher Nielsen, Matthias Wilms, Nils D Forkert

Med Image Anal· January 2026

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Connecting algorithmic fairness and fair outcomes in a sociotechnical simulation case study of AI-assisted healthcare.
Emma A M Stanley, Roger Y Tsang, Haley Gillett, Raissa Souza, Vibujithan Vigneshwaran, Matthias Wilms

Nat Commun· December 2025

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Interpretable convolutional neural network for autism diagnosis support in children using structural magnetic resonance imaging datasets.
Garazi Casillas Martinez, Anthony Winder, Emma A M Stanley, Raissa Souza, Matthias Wilms

J Med Imaging (Bellingham)· November 2025

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Digital dementia and testing of cognitive intervention for degenerating neural networks.
Jasmine A Moore, Vibujithan Vigneshwaran, Anthony J Winder, Chris Kang, Matthias Wilms

NPJ Syst Biol Appl· November 2025

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Assessment of demographic bias in retinal age prediction machine learning models.
Christopher Nielsen, Emma A M Stanley, Matthias Wilms, Nils D Forkert

Front Artif Intell· October 2025

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A multimodal multitask deep learning model for predicting stroke lesion and functional outcomes using 4D CTP imaging and clinical metadata.
Kimberly Amador, Anthony J Winder, Jens Fiehler, Philip A Barber, Matthias Wilms

Sci Rep· October 2025

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Accounting for population structure in deep learning models for genomic analysis.
Gabrielle Dagasso, Matthias Wilms, Raissa Souza, Nils D Forkert

J Biomed Inform· September 2025

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Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons.
Chris Kang, Jasmine A Moore, Samuel Robertson, Matthias Wilms, Emma K Towlson

Neural Netw· July 2025

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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.
Maximilian Zenk, Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Matthias Wilms

Nat Commun· July 2025

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Biological heart and brain ageing in subjects with cardiovascular diseases.
Elizabeth Mcavoy, Matthias Wilms, Nils D Forkert

Front Cardiovasc Med· July 2025

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A Novel Foundation Model-Based Framework for Multimodal Retinal Age Prediction.
Christopher Nielsen, Matthias Wilms, Nils D Forkert

IEEE J Transl Eng Health Med· July 2025

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Brain Aging in Patients With Cardiovascular Disease From the UK Biobank.
Elizabeth Mcavoy, Emma A M Stanley, Anthony J Winder, Matthias Wilms, Nils D Forkert

Hum Brain Mapp· June 2025

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The retinal age gap: an affordable and highly accessible biomarker for population-wide disease screening across the globe.
Christopher Nielsen, Matthias Wilms, Nils Daniel Forkert

Proc Biol Sci· May 2025

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Highly efficient homomorphic encryption-based federated learning for diabetic retinopathy classification.
Christopher Nielsen, Matthias Wilms, Nils D Forkert

J Med Imaging (Bellingham)· May 2025

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Dimensionality reduction in 3D causal deep learning for neuroimage generation: an evaluation study.
Erik Y Ohara, Vibujithan Vigneshwaran, Raissa Souza, Finn G Vamosi, Matthias Wilms

J Med Imaging (Bellingham)· March 2025

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Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis.
Raissa Souza, Emma A M Stanley, Anthony J Winder, Chris Kang, Kimberly Amador, Matthias Wilms

NPJ Digit Med· February 2025

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Towards realistic simulation of disease progression in the visual cortex with CNNs.
Jasmine A Moore, Chris Kang, Vibujithan Vigneshwaran, Emma A M Stanley, Ashar Memon, Matthias Wilms

Sci Rep· February 2025

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Identifying Patient-Reported Care Experiences in Free-Text Survey Comments: Topic Modeling Study.
Brian Steele, Paul Fairie, Kyle Kemp, Adam G D'Souza, Matthias Wilms

JMIR Med Inform· February 2025

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A cross-attention-based deep learning approach for predicting functional stroke outcomes using 4D CTP imaging and clinical metadata.
Kimberly Amador, Noah Pinel, Anthony J Winder, Jens Fiehler, Matthias Wilms

Med Image Anal· January 2025

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Where, why, and how is bias learned in medical image analysis models? A study of bias encoding within convolutional networks using synthetic data.
Emma A M Stanley, Raissa Souza, Matthias Wilms, Nils D Forkert

EBioMedicine· January 2025

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Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders.
Gabrielle Dagasso, Matthias Wilms, Sarah J MacEachern, Nils D Forkert

Front Big Data· December 2024

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Cerebroventricular deformation and vector mapping, a topographic visualizer for surgical interventions in pediatric hydrocephalus.
Kristen W Yeom, Michael Zhang, Edward H Lee, Allison K Duh, Shannon J Beres, Matthias Wilms

J Neurosurg Pediatr· November 2024

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Foundation model-driven distributed learning for enhanced retinal age prediction.
Christopher Nielsen, Raissa Souza, Matthias Wilms, Nils D Forkert

J Am Med Inform Assoc· November 2024

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Analysis and visualization of the effect of multiple sclerosis on biological brain age.
Catharina J A Romme, Emma A M Stanley, Pauline Mouches, Matthias Wilms, G Bruce Pike

Front Neurol· October 2024

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HarmonyTM: multi-center data harmonization applied to distributed learning for Parkinson's disease classification.
Raissa Souza, Emma A M Stanley, Vedant Gulve, Jasmine Moore, Chris Kang, Matthias Wilms

J Med Imaging (Bellingham)· September 2024

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