Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-04-010 ISMRM Abstract

Deep Learning-Based White Matter Injury Segmentation With T1WI and T2WI in Multi-Center Infants Aged 6-24 Months

Primary: Pediatrics - Neuro
Secondary: Neuro - White Matter
562-04-010 · AI/DL in Pediatrics · Wednesday, 13 May, 2:35 PM–3:30 PM · Digital Posters Row C
Keywords: Deep learning MRI Segmantation Brain injury Infant
Accepted
Zhen Jia1,2,3,4, Man Li5, Tingting Huang1,2,3, Yitong Bian1,2,3, Xianjun Li1,2,3, Feng Shi5, Jian Yang 1,2,3,4
1Department of Radiology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
2Shaanxi Engineering Research Center of Computational Imaging and Medical Intelligence, XI'AN, China
3Xi’an Key Laboratory of Medical Computational Imaging, XI'AN, China
4School of Future Technology, Xi'an Jiaotong University, Xi'an, China
5Department of Research and Development, Shanghai United Imaging Healthcare Co., Ltd, Shanghai, China
Presenting Author: Jian Yang

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References

1. Himmelmann K, Horber V, Sellier E, et al. Neuroimaging patterns and function in cerebral palsy—application of an MRI classification[J]. Frontiers in Neurology, 2021, 11: 617740.doi:10.3389/fneur.2020.617740. [doi]
2. Morgan C, Fetters L, Adde L, et al. Early intervention for children aged 0 to 2 years with or at high risk of cerebral palsy: international clinical practice guideline based on systematic reviews[J]. JAMA pediatrics, 2021, 175(8): 846-858.doi:10.1001/jamapediatrics.2021.0878. [doi]
3. Novak I, Morgan C, Adde L, et al. Early, accurate diagnosis and early intervention in cerebral palsy: advances in diagnosis and treatment[J]. JAMA pediatrics, 2017, 171(9): 897-907.doi:10.1001/jamapediatrics.2017.1689. [doi]
4. Isensee F, Jaeger P F, Kohl S A A, et al. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation[J]. Nature methods, 2021, 18(2): 203-211.doi:10.48550/arXiv.1809.10486. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/562-04-010