Irina Grigorescu

According to our database, Irina Grigorescu authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Paula Ramirez Gilliland, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez

CoRR, 2023

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

Paula Ramirez Gilliland, Uxio Hermida, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Adelaide de Vecchi, Andrew P. King, Pablo Lamata, Maria Deprez

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2023

2022

Predicting age and clinical risk from the neonatal connectome.

Yassine Taoudi-Benchekroun, Daan Christiaens, Irina Grigorescu, Oliver Gale-Grant, Andreas Schuh, Maximilian Pietsch, Andrew Chew, Nicholas Harper, Shona Falconer, Tanya Poppe, Emer J. Hughes, Jana Hutter, Anthony N. Price, Jacques-Donald Tournier, Lucilio Cordero-Grande, Serena J. Counsell, Daniel Rueckert, Tomoki Arichi, Joseph V. Hajnal, A. David Edwards, Maria Deprez, Dafnis Batalle

NeuroImage, 2022

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

Alena Uus, Irina Grigorescu, Milou P. M. van Poppel, Johannes K. Steinweg, Thomas A. Roberts, Mary A. Rutherford, Joseph V. Hajnal, David F. A. Lloyd, Kuberan Pushparajah, Maria Deprez

Medical Image Anal., 2022

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

Alena Uus, Mohammad-Usamah Ayub, Abi Gartner, Vanessa Kyriakopoulou, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jana Hutter, Lucilio Cordero-Grande, Anthony Price, Dafnis Batalle, Serena J. Counsell, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Maria Deprez

Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

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

Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez

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.

Paula Ramirez Gilliland, Alena Uus, Milou P. M. van Poppel, Irina Grigorescu, Johannes K. Steinweg, David F. A. Lloyd, Kuberan Pushparajah, Andrew P. King, Maria Deprez

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.

Alena Uus, Jacqueline Matthew, Irina Grigorescu, Samuel Jupp, Lucilio Cordero-Grande, Anthony Price, Emer J. Hughes, Prachi A. Patkee, Vanessa Kyriakopoulou, Robert Wright, Thomas A. Roberts, Jana Hutter, Maximilian Pietsch, Joseph V. Hajnal, A. David Edwards, Mary A. Rutherford, Maria Deprez

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Uncertainty-Aware Deep Learning Based Deformable Registration.

Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez

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.

Alena Uus, Maximilian Pietsch, Irina Grigorescu, Daan Christiaens, Jacques-Donald Tournier, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards, Joseph V. Hajnal, Maria Deprez

Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Diffusion Tensor Driven Image Registration: A Deep Learning Approach.

Irina Grigorescu, Alena Uus, Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez

Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

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

Ana Lourenço, Eric Kerfoot, Irina Grigorescu, Cian M. Scannell, Marta Varela, Teresa Correia

Proceedings of the Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2020

Harmonised Segmentation of Neonatal Brain MRI: A Domain Adaptation Approach.

Irina Grigorescu, Lucilio Cordero-Grande, Dafnis Batalle, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez

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.

Irina Grigorescu, Lucilio Cordero-Grande, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez

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.

Mona Mihailescu, Eugen I. Scarlat, Irina Alexandra Paun, Irina Grigorescu, Roxana Radu, Oana Tatiana Nedelcu

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018