M. Jorge Cardoso

Also affiliated with King's College London

Computer ScienceMedicine

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 1%percentile

15.0Author DataRank

Indexed papers

5in 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 5 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 →

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

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680

Top 2%

7.2DataRank

Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Papers

Driven by 27 papers — median percentile 97. Top paper: “Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study”.

Risk of COVID-19 among front-line health-care workers and the general community: a prospective cohort study

The Lancet Public Health(2020)10.1016/s2468-2667(20)30164-x

N/A

12.8DataRank · unranked

2303 citations

David A. Drew, Mark S. Graham, Amit D. Joshi, Chuan‐Guo Guo, Wenjie Ma +76 more

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z

N/A

9.2DataRank · unranked

411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 more

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680

Top 2%

7.2DataRank

Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

BMJ(2025)10.1136/bmj-2024-081554

N/A

7.0DataRank · unranked

386 citations

Alejandro F. Frangi, Antonio R. Porras, Ben Glocker, Celia Cintas, Curtis P. Langlotz +44 more

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9

Top 3%

6.9DataRank

Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

The future of digital health with federated learning

npj Digital Medicine(2020)10.1038/s41746-020-00323-1

N/A

1.2DataRank · unranked

2696 citations

Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni +12 more

Investigating the clinico-anatomical dissociation in the behavioral variant of Alzheimer disease

Alzheimer s Research & Therapy(2020)10.1186/s13195-020-00717-z

Top 21%

0.950DataRank

Top 21%23 citations

Yolande A.L. Pijnenburg, Carole H. Sudre, Colin Groot, Elena Kochova, Frederik Barkhof +10 more

Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App

10.1101/2020.10.19.20214494

N/A

0.834DataRank · unranked

259 citations

Benjamin Murray, Thomas Varsavsky, Mark S. Graham, Rose Penfold, Ruth C. E. Bowyer +28 more

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0

N/A

0.783DataRank · unranked

184 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 more

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653

N/A

0.621DataRank · unranked

62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv (Cornell University)(2023)10.48550/arxiv.2309.12325

N/A

0.553DataRank · unranked

39 citations

Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie +95 more

Effect of scatter correction when comparing attenuation maps: Application to brain PET/MR

2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)(2014)10.1109/nssmic.2014.7430775

N/A

0.416DataRank · unranked

15 citations

Kris Thielemans, M. Jorge Cardoso, Pawel Markiewicz, Jieqing Jiao, John Dickson +6 more

Automated quantitative MRI volumetry reports support diagnostic interpretation in dementia: a multi-rater, clinical accuracy study

European Radiology(2021)10.1007/s00330-020-07455-8

N/A

0DataRank · unranked

44 citations

Olivia Goodkin, Ferrán Prados, Ravi Das, Sjoerd B. Vos, James Moggridge +22 more

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation

Medical Image Analysis(2022)10.1016/j.media.2022.102628

N/A

0DataRank · unranked

6 citations

Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard +35 more

Operationalizing the centiloid scale for [18F]florbetapir PET studies on PET/MRI

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2023)10.1002/dad2.12434

N/A

0DataRank · unranked

18 citations

Marc Modat, M. Jorge Cardoso, Paweł Markiewicz, Christopher Lane, Thomas D. Parker +21 more

Acquisition-invariant brain MRI segmentation with informative uncertainties

Medical Image Analysis(2023)10.1016/j.media.2023.103058

N/A

0DataRank · unranked

9 citations

Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David L. Thomas, Ivana Drobnjak +3 more

RAISE -- Radiology AI Safety, an End-to-end lifecycle approach

arXiv (Cornell University)(2023)10.48550/arxiv.2311.14570

N/A

0DataRank · unranked

1 citations

Julia Moosbauer, Tessa S. Cook, Barbaros S. Erdal, Brad Genereaux, Vikas Gupta +9 more

Robust parametric modeling of Alzheimer’s disease progression

NeuroImage(2020)10.1016/j.neuroimage.2020.117460

N/A

0DataRank · unranked

4 citations

Mads Nielsen, Akshay Pai, Marc Modat, M. Jorge Cardoso, Sébastien Ourselin +2 more

Current State of Community-Driven Radiological AI Deployment in Medical Imaging

JMIR AI(2024)10.2196/55833

N/A

0DataRank · unranked

20 citations

Barbaros S. Erdal, Carolina Ramirez, Ralf Floca, Brad Genereaux, Sidney Bryson +21 more

Generating multi-pathological and multi-modal images and labels for brain MRI

Medical Image Analysis(2024)10.1016/j.media.2024.103278

N/A

0DataRank · unranked

17 citations

Walter Hugo Lopez Pinaya, Pedro Borges, Mark S. Graham, Petru-Daniel Tudosiu, Tom Vercauteren +2 more

Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change

Neuroinformatics(2020)10.1007/s12021-019-09439-6

N/A

0DataRank · unranked

25 citations

Cassidy M. Fiford, Carole H. Sudre, Hugh Pemberton, Phoebe Walsh, Emily N. Manning +8 more

Differential patterns of cortical expansion in fetal and preterm brain development

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.19.653958

N/A

0DataRank · unranked

2 citations

Kaili Liang, Kara Garcia, M. Jorge Cardoso, Emma C. Robinson, Mariana da Silva

A Heteroscedastic Uncertainty Model for Decoupling Sources of MRI Image Quality

The Journal of Machine Learning for Biomedical Imaging(2021)10.59275/j.melba.2021-8678

N/A

0DataRank · unranked

4 citations

Carole H. Sudre, Sébastien Ourselin, M. Jorge Cardoso, Hugh G. Pemberton, Richard Shaw

High blood pressure predicts hippocampal atrophy rate in cognitively impaired elders

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2020)10.1002/dad2.12035

N/A

0DataRank · unranked

18 citations

Jennifer M. Nicholas, Geert Jan Biessels, Christopher Lane, M. Jorge Cardoso, Josephine Barnes +1 more

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642

N/A

0DataRank · unranked

87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 more

Acquisition-invariant brain MRI segmentation with informative uncertainties

arXiv (Cornell University)(2021)10.48550/arxiv.2111.04094

N/A

0DataRank · unranked

0 citations

Richard E. Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak +3 more

Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative

Brain Communications(2021)10.1093/braincomms/fcab226

N/A

0DataRank · unranked

11 citations

Carole H. Sudre, Alexandra L. Young, Amy MacDougall, Jennifer M. Nicholas, Emily N. Manning +11 more

M. Jorge Cardoso

Indexed papers

Top data-sharing exemplar

Papers