Matthias Wilms (Mattias Wilms)

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Convolutional Neural Network

Magnetic Resonance

Top Venues

NPJ Parkinson's disease

Sensors (Basel, Switzerland)

Journal of medical imaging (Bellingham, Wash.)

This page only lists publications with an associated author ORCID identifier.

Publications

Edward H Lee, Michelle Han, Jason Wright, Michael Kuwabara, Jacob Mevorach, Gang Fu, Olivia Choudhury, Ujjwal Ratan, Michael Zhang, Matthias W Wagner, Robert Goetti, Sebastian Toescu, Sebastien Perreault, Hakan Dogan, Emre Altinmakas, Maryam Mohammadzadeh, Kathryn A Szymanski, Cynthia J Campen, Hollie A Lai, Azam Eghbal, Alireza Radmanesh, Kshitij Mankad, Kristian Aquilina, Mourad Said, Arastoo Vossough, Ozgur Oztekin, Birgit Ertl-Wagner, T Young Poussaint, Eric M Thompson, Chang Y Ho, Alok Jaju, John Curran, Vijay Ramsawami, Samuel H Cheshier, Gerald A Grant, S Simon Wong, Michael E Moseley, Robert M Lober, Matthias Wilms, Nils Daniel Forkert, Nicholas A Vitanza, Jeffrey H Miller, Laura M Prolo, Kristen W Yeom
An international study presenting a federated learning AI platform for pediatric brain tumors. Nature communications 15 (1) (2024)
Milton Camacho, Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils Daniel Forkert, null null
Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI data. NPJ Parkinson's disease 10 (1) (2024)
Milton Camacho, Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils Daniel Forkert, null null
Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI data. NPJ Parkinson's disease 10 (1) (2024)
Milton Camacho, Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail, Oury Monchi, Nils Daniel Forkert, null null
Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI data. NPJ Parkinson's disease 10 (1) (2024)
Pauline Mouches, Matthias Wilms, Deepthi Rajashekar, Sönke Langner, Nils Daniel Forkert
Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions. Human brain mapping 43 (8) (2022)
Emma A M Stanley, Matthias Wilms, Pauline Mouches, Nils Daniel Forkert
Fairness-related performance and explainability effects in deep learning models for brain image analysis. Journal of medical imaging (Bellingham, Wash.) 9 (6) (2022)
Anthony Winder, Matthias Wilms, Jens Fiehler, Nils Daniel Forkert
Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-Principle. Biomedicines 9 (10) (2021)
Nagesh Subbanna, Matthias Wilms, Anup Tuladhar, Nils Daniel Forkert
An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks. Sensors (Basel, Switzerland) 21 (11) (2021)
Deepthi Rajashekar, Matthias Wilms, M Ethan MacDonald, Jan Ehrhardt, Pauline Mouches, Richard Frayne, Michael D Hill, Nils Daniel Forkert
High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly. Scientific data 7 (1) (2020)
In Young Ha, Matthias Wilms, Mattias Heinrich
Semantically Guided Large Deformation Estimation with Deep Networks. Sensors (Basel, Switzerland) 20 (5) (2020)
Jordan J Bannister, Sebastian R Crites, J David Aponte, David C Katz, Matthias Wilms, Ophir D Klein, Francois P J Bernier, Richard A Spritz, Benedikt Hallgrimsson, Nils D Forkert
Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images. Sensors (Basel, Switzerland) 20 (11) (2020)