Irina Grigorescu
Orcid: 0000-0002-9756-3787
According to our database1,
Irina Grigorescu
authored at least 19 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2024
2023
Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI.
CoRR, 2023
Towards Automatic Risk Prediction of Coarctation of the Aorta from Fetal CMR Using Atlas-Based Segmentation and Statistical Shape Modelling.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023
2022
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 Anal., 2022
Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
Automated Multi-class Fetal Cardiac Vessel Segmentation in Aortic Arch Anomalies Using T2-Weighted 3D Fetal MRI.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
2021
Spatio-Temporal Atlas of Normal Fetal Craniofacial Feature Development and CNN-Based Ocular Biometry for Motion-Corrected Fetal MRI.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021
2020
Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020
Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information.
Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020
2019
Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019
2018
Empirical quantitative characterization of holographic phase images of normal and abnormal cervical cells by fractal descriptors.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018