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Computational MRI and AI for understanding early brain development in at-risk fetuses and infants| title | Computational MRI and AI for understanding early brain development in at-risk fetuses and infants |
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| start_date | 2025/12/01 |
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| schedule | 11h |
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| online | no |
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| location_info | Amphitheater NeuroSpin & Online |
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| summary | Fetal and neonatal MRI offers a unique window into early human brain development but suffers from severe motion, low SNR, and limited resolution. In this talk, I will introduce how our team integrates advanced post-processing and AI-based tools, such as domain-adapted segmentation or generative AI, to recover anatomically faithful, quantitative datasets. We extend these methods to connectivity analysis using graph learning and deep regression models for brain-age estimation. Applied to large cohorts of fetuses and infants with congenital heart defects, spina bifida, and prematurity, these techniques reveal disease-specific developmental trajectories. This talk will highlight how computational imaging and AI are transforming early-life MRI from qualitative visualization to quantitative neurophenotyping. |
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| responsibles | Blancho |
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| submitted | published | | 2025/11/26 14:05 UTC |
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