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Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI

Scientific reports, 2024-03, Vol.14 (1), p.6637-6637, Article 6637

2024

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Predicting age and clinical risk from the neonatal connectome

NeuroImage (Orlando, Fla.), 2022-08, Vol.257, p.119319-119319, Article 119319

2022

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3D black blood cardiovascular magnetic resonance atlases of congenital aortic arch anomalies and the normal fetal heart: application to automated multi-label segmentation

Journal of cardiovascular magnetic resonance, 2022-12, Vol.24 (1), p.71-13, Article 71

2022

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Harmonized Segmentation of Neonatal Brain MRI

Frontiers in neuroscience, 2021-05, Vol.15, p.662005-662005

2021

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Medical marvels

Physics world, 2021-07, Vol.34 (5), p.35-36

Grigorescu, Irina

2021

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Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

Frontiers in neuroscience, 2021-06, Vol.15, p.661704-661704

2021

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Real-time fetal brain tracking for functional fetal MRI

Magnetic resonance in medicine, 2023-12, Vol.90 (6), p.2306-2320

2023

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EVALUAREA ACTIVITĂȚILOR DE PROMOVARE A SĂNĂTĂȚII LA LOCUL DE MUNCĂ ÎN ÎNTREPRINDERILE DIN INDUSTRIA ALIMENTARĂ

Arta medica, 2022-11, Vol.85 (4)

2022

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Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21–36 weeks GA range

Medical image analysis, 2022-08, Vol.80, p.102484-102484, Article 102484

2022

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Real-time fetal brain tracking for functional fetal MRI

Magnetic resonance in medicine, 2023-12, Vol.90 (6), p.2306-2320

2023

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Applications of interpretable deep learning in neuroimaging: A comprehensive review

Imaging neuroscience (Cambridge, Mass.), 2024-07, Vol.2, p.1-37

2024

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Empirical quantitative characterization of holographic phase images of normal and abnormal cervical cells by fractal descriptors

Computer methods in biomechanics and biomedical engineering., 2018-07, Vol.6 (4), p.386-395

2018

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Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, p.253-263

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Uncertainty-Aware Deep Learning Based Deformable Registration

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, p.54-63

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Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, p.168-178

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Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, p.334-341

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Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach

Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, p.104-112

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Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data

Perinatal, Preterm and Paediatric Image Analysis, 2022, Vol.13575, p.71-81

2022

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Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts

Perinatal, Preterm and Paediatric Image Analysis, 2022, Vol.13575, p.94-104

2022

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Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI

Perinatal, Preterm and Paediatric Image Analysis, 2022, Vol.13575, p.82-93

2022

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Diffusion Tensor Driven Image Registration: A Deep Learning Approach

Biomedical Image Registration, 2020, p.131-140

2020

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Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling

Perinatal, Preterm and Paediatric Image Analysis, p.53-63

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Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain

Biomedical Image Registration, 2020, p.111-121

2020

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Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI

Machine Learning for Biomedical Imaging, 2023-11, Vol.2 (PIPPI 2022), p.406-446

2023

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Melbourne words

Antipodes (Brooklyn, New York, N.Y.), 1992-12, Vol.6 (2), p.132-132

Pana, Irina Grigorescu

1992

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Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI

Predicting age and clinical risk from the neonatal connectome

3D black blood cardiovascular magnetic resonance atlases of congenital aortic arch anomalies and the normal fetal heart: application to automated multi-label segmentation

Harmonized Segmentation of Neonatal Brain MRI

Medical marvels

Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development

Real-time fetal brain tracking for functional fetal MRI

EVALUAREA ACTIVITĂȚILOR DE PROMOVARE A SĂNĂTĂȚII LA LOCUL DE MUNCĂ ÎN ÎNTREPRINDERILE DIN INDUSTRIA ALIMENTARĂ

Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21–36 weeks GA range

Real-time fetal brain tracking for functional fetal MRI

Applications of interpretable deep learning in neuroimaging: A comprehensive review

Empirical quantitative characterization of holographic phase images of normal and abnormal cervical cells by fractal descriptors

Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach

Uncertainty-Aware Deep Learning Based Deformable Registration

Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI

Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information

Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach

Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data

Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts

Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI

Diffusion Tensor Driven Image Registration: A Deep Learning Approach

Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling

Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI

Melbourne words

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