Description
Book SynopsisFetal Brain MRI: Reconstruction, Segmentation, and Development.- Automatic Quality Control in Multi-Centric Fetal Brain MRI Super-Resolution Reconstruction.- D SVG: Diffusion-Based Slice-to-Volume Generation with Implicit Neural Representation for Fetal Brain MRI.- Continuous Spatio Temporal Representation with Implicit Neural Networks for Fetal Brain MRI Atlas Construction.- Conditional Fetal Brain Atlas Learning for Automatic Tissue Segmentation.- Enhancing Corpus Callosum Segmentation in Fetal MRI via Pathology Informed Domain Randomization.- Physics Informed Joint Multi TE Super Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.- Robustness and Diagnostic Performance of Super Resolution Fetal Brain MRI.- Enhancing Fetal Brain MRI Segmentation in Ventriculomegaly Using Generative AI Augmented Pathological Data.- FetGEs a Deep Learning Approach for Fetal MRI Ganglionic Eminence Segmentation.- Quantifying Fetal Periventricular White Matter Development Using Multimodal MRI.- LLM and Functional Imaging in Fetal and Placental MRI.- FetalExtract LLM: Structured Information Extraction from Free Text Fetal MRI Reports Based on Privacy Ensuring Open weights Large Language Models.- Automated Biometry for Assessing Cephalopelvic Disproportion in 3D 0.55T Fetal MRI at Term.- Contrast Invariant Self Supervised Segmentation for Quantitative Placental MRI.- PUUMA Functional MRI Prediction of Gestational Age at Birth and Preterm Risk.- Robust Alignment of the Human Embryo in 3D Ultrasound Using PCA and Classifier Ensembles.- Neonatal and Pediatric Imaging.- NEUBORN: The Neurodevelopmental Evolution Framework Using Biomechanical Remodeling.- Anatomically Informed Dynamic Weighting for Semi Supervised Fetal MRI Segmentation.- Towards a Comprehensive Morphological, Dynamic, and Functional MRI Investigation of the Pediatric Bowel at 0.55T.
