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

Nils D. Forkert

University of Calgary

ORCID: 0000-0003-2556-3224

Also affiliated with Alberta Children's Hospital, Ontario Brain Institute, Hotchkiss Brain Institute

MedicineNeuroscience

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 4%percentile
0.677Author DataRank

Indexed papers

3in 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 3 indexed papers 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 →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

Scientific Data(2022)10.1038/s41597-022-01338-x
Top 43%
0.429DataRank
Top 43%13 citations

Marta Vidal‐García, Wei Liu, Amanda Neves, Lucas Lo Vercio, Rebecca M. Green +31 more

Papers

Driven by 32 papers — median percentile 48. Top paper: “A Registration and Deep Learning Approach to Automated Landmark Detection for Geometric Morphometrics”.

A Registration and Deep Learning Approach to Automated Landmark Detection for Geometric Morphometrics

Evolutionary Biology(2020)10.1007/s11692-020-09508-8
N/A
1.7DataRank · unranked
60 citations

J. David Aponte, David C. Katz, Wei Liu, Lucas Lo Vercio, Nils D. Forkert +4 more

Neural correlates of the impulse dyscontrol domain of mild behavioral impairment

International Journal of Geriatric Psychiatry(2021)10.1002/gps.5540
N/A
0.666DataRank · unranked
84 citations

Meng Wang, Pauline Mouchès, Deepthi Rajashekar, Tolulope T. Sajobi, Frank P. MacMaster +5 more

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

Combined Atlas and Convolutional Neural Network-Based Segmentation of the Hippocampus from MRI According to the ADNI Harmonized Protocol

Sensors(2021)10.3390/s21072427
N/A
0.470DataRank · unranked
22 citations

Morgan J. Schaeffer, Nils D. Forkert, Sean M. Nestor, Sandra E. Black, Philip A. Barber +2 more

MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

Scientific Data(2022)10.1038/s41597-022-01338-x
Top 43%
0.429DataRank
Top 43%13 citations

Marta Vidal‐García, Wei Liu, Amanda Neves, Lucas Lo Vercio, Rebecca M. Green +31 more

Mild Behavioral Impairment and Subjective Cognitive Decline predict Mild Cognitive Impairment

medRxiv(2020)10.1101/2020.05.24.20112284
N/A
0.416DataRank · unranked
15 citations

Alexander McGirr, Sascha Gill, Sophie Hu, Nils D. Forkert, Eric E. Smith +1 more

Cerebral volume and diffusion MRI changes in children with sensorineural hearing loss

NeuroImage Clinical(2020)10.1016/j.nicl.2020.102328
N/A
0.416DataRank · unranked
15 citations

Z. Jason Qian, Emily McKenna, Kevin Xi, Nathan C Rowe, Nathan Ng +8 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

Segmentation of Tissues and Proliferating Cells in Light-Sheet Microscopy Images of Mouse Embryos Using Convolutional Neural Networks

IEEE Access(2022)10.1109/access.2022.3210542
N/A
0.345DataRank · unranked
9 citations

Rebecca M. Green, Samuel Robertson, Sienna Guo, Andreas Dauter, Marta Marchini +7 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

Segmentation of Tissues and Proliferating Cells in Light-Sheet Microscopy Images using Convolutional Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.08.434453
N/A
0.292DataRank · unranked
6 citations

Rebecca M. Green, Samuel Robertson, Si Han Guo, Andreas Dauter, Marta Marchini +6 more

MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.11.468142
Top 60%
0.248DataRank
Top 60%4 citations

Marta Vidal‐García, Wei Liu, Amanda Neves, Lucas Lo Vercio, Rebecca M. Green +31 more

Quantifying the relationship between cell proliferation and morphology during development of the face

Development(2025)10.1242/dev.204511
N/A
0.241DataRank · unranked
4 citations

Rebecca M. Green, Andreas Dauter, Elizabeth C. Barretto, Marta Vidal‐García, Jay Devine +14 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
0.104DataRank · unranked
1 citations

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

Accounting for population structure in deep learning models for genomic analysis

Journal of Biomedical Informatics(2025)10.1016/j.jbi.2025.104873
N/A
0.104DataRank · unranked
1 citations

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

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

Quantifying the relationship between cell proliferation and morphology during development of the face

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.12.540515
N/A
0DataRank · unranked
0 citations

Lucas Lo Vercio, Andreas Dauter, Elizabeth C. Barretto, Jay Devine, Marta Vidal‐García +13 more

An international study presenting a federated learning AI platform for pediatric brain tumors

Nature Communications(2024)10.1038/s41467-024-51172-5
N/A
0DataRank · unranked
40 citations

Michelle Han, Jason L. Wright, Michael Kuwabara, Jacob Mevorach, Gang Fu +39 more

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

Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103424
N/A
0DataRank · unranked
40 citations

Sascha Gill, Zahinoor Ismail, Nils D. Forkert, Anup Tuladhar

An interactive atlas of three-dimensional syndromic facial morphology

The American Journal of Human Genetics(2024)10.1016/j.ajhg.2023.11.011
N/A
0DataRank · unranked
8 citations

Jordan J. Bannister, Hanne Hoskens, Harold Matthews, Kaitlin Katsura, Cassidy Da Silva +10 more

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

Mild behavioural impairment-apathy and core Alzheimer's disease cerebrospinal fluid biomarkers

Brain(2025)10.1093/brain/awaf194
N/A
0DataRank · unranked
11 citations

Rebeca Leon, Zahra Goodarzi, Nils D. Forkert, Eric E. Smith, Zahinoor Ismail +1 more

Using machine learning to investigate the influence of the prenatal chemical exposome on neurodevelopment of young children

NeuroToxicology(2025)10.1016/j.neuro.2025.04.001
N/A
0DataRank · unranked
6 citations

Sarah J. MacEachern, Kimberly Amador, Munawar Hussain Soomro, Anthony Reardon, Amy M. MacDonald +7 more

Integration of Cellular Dynamics and Morphology to Understand Mouse Facial Development

The FASEB Journal(2021)10.1096/fasebj.2021.35.s1.02348
N/A
0DataRank · unranked
0 citations

Lucas Lo Vercio, Andreas Dauter, Si Han Guo, Samuel Robertson, Marta Marchini +6 more

Automated syndrome diagnosis by three-dimensional facial imaging

Genetics in Medicine(2020)10.1038/s41436-020-0845-y
N/A
0DataRank · unranked
106 citations

J. David Aponte, David C. Katz, Jordan J. Bannister, Sheri L. Riccardi, Nick Mahasuwan +33 more

Dementia risk prediction in individuals with mild cognitive impairment: a comparison of Cox regression and machine learning models

BMC Medical Research Methodology(2022)10.1186/s12874-022-01754-y
N/A
0DataRank · unranked
42 citations

Matthew Greenberg, Nils D. Forkert, Thierry Chekouo, Gabriel Afriyie, Zahinoor Ismail +3 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

Using Machine Learning to Predict Dementia from Neuropsychiatric Symptom and Neuroimaging Data

Journal of Alzheimer s Disease(2020)10.3233/jad-191169
N/A
0DataRank · unranked
126 citations

for the Alzheimer’s Disease Neuroimaging Initiative, Pauline Mouchès, Sophie Hu, Deepthi Rajashekar, Frank P. MacMaster +4 more

Wnt Signaling Drives Correlated Changes in Facial Morphology and Brain Shape

Frontiers in Cell and Developmental Biology(2021)10.3389/fcell.2021.644099
N/A
0DataRank · unranked
24 citations

Diane Hu, Lucas Lo Vercio, Nathan M. Young, Nils D. Forkert, Benedikt Hallgrímsson +2 more