Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
661-04-011 ISMRM Abstract

Placental patch and whole-Uterus dual-branch U-Mamba-based Architecture for Chorioamnionitis detection from functional MRI

Primary: Analysis Methods - Classification and Prediction
Secondary: Pediatrics - Fetal
661-04-011 · AI-Based Analysis in MR Imaging · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row B
Keywords: Deep learning Artificial Intelligence Fetal MRI Functional MRI Chorioamnionitis
Accepted
Diego Fajardo-Rojas 1,2, Levente Baljer3,4,5, Jordina Aviles Verdera6,7,8,9,10,11,12,13,14,15,16,17,18,19,20, Megan Hall21,22, Daniel Cromb10,18, MARY A RUTHERFORD10,15,16,18, Lisa Story21,22,23, Emma Robinson2,4,24, Jana Hutter6,7,8,9,10,11,12,15,16,17,18,20,25,26,27
1Department of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, Kings College London, London, United Kingdom
2Research department of Biomedical Computing, King's College London, London, United Kingdom
3Neuroimaging, King's College London, London, United Kingdom
4Department of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
5Department of Neuroimaging, King's College London, London, United Kingdom
6Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
7Smart Imaging Lab, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
8School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom
9Institute of Radiology, Uniklinikum Erlangen, Erlangen, Germany
10Research Dept of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
11Research Dept of Imaging Physics & Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
12Research Dept of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
13Uniklinikum Erlangen, Erlangen, Germany
14Institute for Diagnostic Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
15Early Life Imaging Research Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
16Imaging Physics and Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
17Research department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, Kings College London, London, United Kingdom
18Research department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
19Research Department of Imaging Physics and Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
20Imaging Physics and Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
21Department of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
22Women's Health department, School of Life Course and Population Sciences, King's College London, London, United Kingdom
23Fetal Medicine, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
24Research department of Biomedical Computing, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom
25Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
26Kings College London, London, United Kingdom
27Research Dept of Early Life Imaging, School of Biomedical Engingeering and Imaging Sciences, Kings College London, London, United Kingdom
Presenting Author: Diego Fajardo-Rojas

Synopsis

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References

1. Carter SWD, Neubronner S, Su LL, Dashraath P, Mattar C, Illanes SE, Choolani MA, Kemp MW. Chorioamnionitis: An Update on Diagnostic Evaluation. Biomedicines. 2023 Oct 28;11(11):2922. doi: 10.3390/biomedicines11112922. PMID: 38001923; PMCID: PMC10669668. [doi] [pmid]
2. Shatrov JG, Birch SCM, Lam LT, Quinlivan JA, McIntyre S, Mendz GL. Chorioamnionitis and cerebral palsy: a meta-analysis. Obstet Gynecol. 2010 Aug;116(2 Pt 1):387-392. doi: 10.1097/AOG.0b013e3181e90046. PMID: 20664400. [doi] [pmid]
3. Hartling L, Liang Y, Lacaze-Masmonteil T. Chorioamnionitis as a risk factor for bronchopulmonary dysplasia: a systematic review and meta-analysis. Arch Dis Child Fetal Neonatal Ed. 2012 Jan;97(1):F8-F17. doi: 10.1136/adc.2010.210187. Epub 2011 Jun 22. PMID: 21697236. [doi] [pmid]
4. Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008 Jan 5;371(9606):75-84. doi: 10.1016/S0140-6736(08)60074-4. PMID: 18177778; PMCID: PMC7134569. [doi] [pmid]
5. Kim CJ, Romero R, Chaemsaithong P, Chaiyasit N, Yoon BH, Kim YM. Acute chorioamnionitis and funisitis: definition, pathologic features, and clinical significance. Am J Obstet Gynecol. 2015 Oct;213(4 Suppl):S29-52. doi: 10.1016/j.ajog.2015.08.040. PMID: 26428501; PMCID: PMC4774647. [doi] [pmid]
6. Isensee F, Jaeger PF, Kohl SAA, Petersen J, Maier-Hein KH. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation. Nat Methods. 2021 Feb;18(2):203-211. doi: 10.1038/s41592-020-01008-z. Epub 2020 Dec 7. PMID: 33288961. [doi] [pmid]
7. Hall M, Verdera JA, Cromb D, Silva SN, Rutherford M, Counsell SJ, Hajnal JV, Story L, Hutter J. Placental T2* as a measure of placental function across field strength from 0.55T to 3T. Sci Rep. 2024 Nov 19;14(1):28594. doi: 10.1038/s41598-024-77406-6. PMID: 39562648; PMCID: PMC11577033. [doi] [pmid]
8. The MONAI Consortium. Project MONAI (v1) [software]. Zenodo; 2020 Dec 15. doi:10.5281/zenodo.4323059. [doi]
9. Ma J, Li F, Wang B. U-Mamba: Enhancing long-range dependency for biomedical image segmentation [preprint]. arXiv [Internet]. 2024 Jan 9; arXiv:2401.04722. doi: https://doi.org/10.48550/arXiv.2401.04722 [doi]
10. Fajardo-Rojas, D. et al. (2026). PUUMA (Placental Patch and Whole-Uterus Dual-Branch U-Mamba-Based Architecture): Functional MRI Prediction of Gestational Age at Birth and Preterm Risk. In: Link-Sourani, D., Abaci Turk, E., Bastiaansen, W., Hutter, J., Melbourne, A., Licandro, R. (eds) Perinatal, Preterm and Paediatric Image Analysis. PIPPI 2025. Lecture Notes in Computer Science, vol 16118. Springer, Cham. https://doi.org/10.1007/978-3-032-05997-0_14 [doi]

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http://echo.ismrm.org/p/ISMRM2026/661-04-011