🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Matthias Wilms

University of Michigan

ORCID: 0000-0001-8845-360X
MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 11 papers. Top paper: “Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets”.

Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets

NeuroImage Clinical(2023)10.1016/j.nicl.2023.103405
N/A
0.655DataRank · unranked
78 citations

Matthias Wilms, Pauline Mouchès, Hannes Almgren, Raissa Souza, Richard Camicioli +4 more

Fairness-related performance and explainability effects in deep learning models for brain image analysis

Journal of Medical Imaging(2022)10.1117/1.jmi.9.6.061102
N/A
0.564DataRank · unranked
42 citations

Matthias Wilms, Pauline Mouches, Nils D. Forkert, Emma A. M. Stanley

Identifying Biases in a Multicenter MRI Database for Parkinson's Disease Classification: Is the Disease Classifier a Secret Site Classifier?

IEEE Journal of Biomedical and Health Informatics(2024)10.1109/jbhi.2024.3352513
N/A
0.500DataRank · unranked
27 citations

Anthony Winder, Emma A. M. Stanley, Vibujithan Vigneshwaran, Milton Camacho, Richard Camicioli +4 more

Comparing 2D and 3D representations for face-based genetic syndrome diagnosis

European Journal of Human Genetics(2023)10.1038/s41431-023-01308-w
N/A
0.373DataRank · unranked
11 citations

Matthias Wilms, J. David Aponte, David C. Katz, Ophir D. Klein, François P. Bernier +4 more

Detecting 3D syndromic faces as outliers using unsupervised normalizing flow models

Artificial Intelligence in Medicine(2022)10.1016/j.artmed.2022.102425
N/A
0.312DataRank · unranked
7 citations

Matthias Wilms, J. David Aponte, David C. Katz, Ophir D. Klein, François P. Bernier +4 more

Accounting for population structure in deep learning models for genomic analysis

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104873
N/A
0DataRank · unranked
1 citations

Matthias Wilms, Raissa Souza, Nils D. Forkert, Gabrielle Dagasso

Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data

npj Parkinson s Disease(2024)10.1038/s41531-024-00647-9
N/A
0DataRank · unranked
39 citations

Matthias Wilms, Hannes Almgren, Kimberly Amador, Richard Camicioli, Zahinoor Ismail +4 more

A Deep Invertible 3-D Facial Shape Model for Interpretable Genetic Syndrome Diagnosis

IEEE Journal of Biomedical and Health Informatics(2022)10.1109/jbhi.2022.3164848
N/A
0DataRank · unranked
19 citations

Matthias Wilms, J. David Aponte, David C. Katz, Ophir D. Klein, François P. Bernier +4 more

Fully Automatic Landmarking of Syndromic 3D Facial Surface Scans Using 2D Images

Sensors(2020)10.3390/s20113171
N/A
0DataRank · unranked
35 citations

Sebastian Crites, J. David Aponte, David C. Katz, Matthias Wilms, Ophir D. Klein +5 more

Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders

Frontiers in Big Data(2024)10.3389/fdata.2024.1429910
N/A
0DataRank · unranked
1 citations

Matthias Wilms, Sarah J. MacEachern, Nils D. Forkert, Gabrielle Dagasso

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Nature Communications(2025)10.1038/s41467-025-60466-1
N/A
0DataRank · unranked
11 citations

Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller +95 more