Scholar

M. Jorge Cardoso

Google Scholar ID: BuJuSqkAAAAJ

Reader, King's College London

Medical Image AnalysisArtificial IntelligenceMachine Learning

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

40,135

H-index

70

i10-index

236

Publications

20

Co-authors

67

list available

Contact

Emailmailto:?subject=Jorge%20Cardoso&body=Check%20out%20this%20researcher%20at%20King's%20College%20London%3A%20Jorge%20Cardoso | https://kclpure.kcl.ac.uk/portal/en/persons/m.jorge.cardoso/?utm_source=email&utm_medium=email&utm_campaign=sharelink TwitterOpen ↗

Publications

6 items

Making Cross-Continental Federated Learning Repeatable with FLIP: a Multi-Application Study

2026

Cited

0

CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation

2026

Cited

0

Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals

2026

Cited

0

A methodology for clinically driven interactive segmentation evaluation

2025

Cited

0

MAIS: Memory-Attention for Interactive Segmentation

2025

Cited

0

Resolution Invariant Autoencoder

2025

Cited

0

Resume

Academic Achievements

290 research outputs including 182 journal articles, 83 conference papers, and 6 preprints
Contributor to FUTURE-AI international consensus guidelines for trustworthy AI in healthcare (accepted by BMJ, 2025)
Co-author of 'Neuradicon: Operational representation learning of neuroimaging reports' (Computer Methods and Programs in Biomedicine, April 2025)
Research on synthesis of annotated data for medical image segmentation
19,284 citations on Google Scholar

Co-authors

10 total

Sebastien Ourselin

Professor of Healthcare Engineering, King's College London

King's College London

University College London

Parashkev Nachev

University College London

Tom Vercauteren

Professor of Interventional Image Computing, King's College London

Frederik Barkhof

VU University Medical Center

CNRS researcher - Paris Brain Institute (ICM), ARAMIS Lab