Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
352-02-010 / 352-02-010 ISMRM Abstract

Start Smart: reducing annotation effort in fetal MRI via provenance-aware active learning

Primary: Analysis Methods - Segmentation and Detection
Secondary: Pediatrics - Fetal
352-02-010 · Segmentation: Automated, Scalable, and Clinically Oriented MRI Analysis · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 2
352-02-010 · Segmentation: Automated, Scalable, and Clinically Oriented MRI Analysis · Monday, 11 May, 1:50 PM–3:26 PM · Power Pitch Theatre 2
Keywords: Analysis/Processing Fetal Machine Learning/Artificial Intelligence Segmentation Semi-Supervised Learning
Accepted
Rémi HATTAT 1, Marine Beaumont1,2, Charline Bertholdt2,3, Gabriela Hossu2, Olivier Morel1,3, Bailiang CHEN2
1IADI U1254, INSERM and Université de Lorraine, Nancy, France
2CIC-IT 1433, Inserm, Université de Lorraine and, CHRU-Nancy, Nancy, France
3Université de Lorraine, CHRU-Nancy, Pôle de la femme, Nancy, France
Presenting Author: Rémi HATTAT

Synopsis

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References

1. Prayer D, Malinger G, De Catte L, et al. ISUOG Practice Guidelines (updated): performance of fetal magnetic resonance imaging. Ultrasound Obstet Gynecol. 2023;61(2):278–296. https://doi.org/10.1002/uog.26048 [doi]
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3. Meshaka R, Gaunt T, Shelmerdine SC. Artificial intelligence applied to fetal MRI: a scoping review. Br J Radiol. 2023;96(1147):20211205. https://doi.org/10.1259/bjr.20211205 [doi]
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10. Yehuda O, et al. Active learning through a covering lens. In: Adv Neural Inf Process Syst (NeurIPS); 2022.
11. Jungo A, et al. Reliable uncertainty estimation and calibration in deep segmentation networks. Med Image Anal. 2021;68:101855. https://doi.org/10.1016/j.media.2020.101855 [doi]
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13. Li Y, et al. HAL-IA: A hybrid active learning framework using interactive annotation for medical image segmentation. Med Image Anal. 2024;in press. https://doi.org/10.1016/j.media.2024.103078 [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/352-02-010