- All publications
- UNSURE2025
- MELBA–BVM 2025 Special Issue
- Special Issue on MICCAI Open Data 2024-2025
- Special issue on FAIMI
- UNSURE2023
- iMIMIC 2023
- MICCAI 2023 LNQ challenge
- Special Issue on Image Registration
- Special Issue for Generative Models
- PIPPI 2022
- MLCN 2022
- UNSURE2022
- PIPPI 2021
- IPMI 2021
- MICCAI 2021 workshop omnibus
- UNSURE2020
- MIDL 2020
- June 2026 issue
- May 2026 issue
- April 2026 issue
- March 2026 issue
- February 2026 issue
- December 2025 issue
- November 2025 issue
- October 2025 issue
- September 2025 issue
- August 2025 issue
- June 2025 issue
- May 2025 issue
- April 2025 issue
- March 2025 issue
- February 2025 issue
- November 2024 issue
- October 2024 issue
- August 2024 issue
- July 2024 issue
- June 2024 issue
- May 2024 issue
- April 2024 issue
- January 2024 issue
- October 2023 issue
- June 2023 issue
- May 2023 issue
- April 2023 issue
- March 2023 issue
- February 2023 issue
- January 2023 issue
- December 2022 issue
- November 2022 issue
- September 2022 issue
- August 2022 issue
- June 2022 issue
- April 2022 issue
- March 2022 issue
- February 2022 issue
- December 2021 issue
- October 2021 issue
- September 2021 issue
- April 2021 issue
- December 2020 issue
June 2026 issue
https://doi.org/10.59275/j.melba.2026-7a4e
1 paper

Predicting gestational age at birth in the context of preterm birth from multi-modal fetal MRI
2026/06/05June 2026 issue
Diego Fajardo-RojasEarly Life Imaging department, King’s College London, London, UK
Biomedical Computing department, King’s College London, London, UK, Megan HallEarly Life Imaging department, King’s College London, London, UK
Women’s Health department, School of Life Course and Population Sciences, King’s College London, London, UK, Daniel CrombEarly Life Imaging department, King’s College London, London, UK, Mary A. RutherfordEarly Life Imaging department, King’s College London, London, UK, Lisa StoryEarly Life Imaging department, King’s College London, London, UK
Women’s Health department, School of Life Course and Population Sciences, King’s College London, London, UK, Emma RobinsonBiomedical Computing department, King’s College London, London, UK, Jana HutterInstitute for Information Processing, Leibniz University Hannover, Hannover, Germany
Early Life Imaging department, King’s College London, London, UK