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)

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 (SUSI/PIPPI@MICCAI, 2019)

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 (ASMUS/PIPPI@MICCAI, 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 (M&Ms and EMIDEC/STACOM@MICCAI, 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 (WBIR, 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 (WBIR, 2020)

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 (UNSURE/PIPPI@MICCAI, 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; et al. (UNSURE/PIPPI@MICCAI, 2021)

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 (PIPPI@MICCAI, 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 (PIPPI@MICCAI, 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; et al. (PIPPI@MICCAI, 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)

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; et al. (NeuroImage, 2022)

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 (PIPPI@MICCAI, 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)

Automatic 8-Tissue Segmentation for 6-Month Infant Brains. - Yilan Dong; Vanessa Kyriakopoulou; Irina Grigorescu; Grainne M. McAlonan; Dafnis Batalle; Maria Deprez (PIPPI@MICCAI, 2024)

Towards Automated Multi-regional Lung Parcellation for 0.55-3T 3D T2w Fetal MRI. - Alena Uus; Carla Avena Zampieri; Fenella Downes; Alexia Egloff Collado; Megan Hall; Joseph Davidson; Kelly Payette; Jordina Aviles Verdera; Irina Grigorescu; Joseph V. Hajnal; Maria Deprez; Michael Aertsen; et al. (PIPPI@MICCAI, 2024)

Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration. - Irina Grigorescu; Alena Uus; Daan Christiaens; Lucilio Cordero-Grande; Jana Hutter; Dafnis Batalle; A. David Edwards; Joseph V. Hajnal; Marc Modat; Maria Deprez (WBIR, 2024)

Applications of interpretable deep learning in neuroimaging: a comprehensive review. - Lindsay Munroe; Mariana da Silva; Faezeh Heidari; Irina Grigorescu; Simon Dahan; Emma C. Robinson; Maria Deprez; Po-Wah So (CoRR, 2024)

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results. - Kelly Payette; Céline Steger; Roxane Licandro; Priscille de Dumast; Hongwei Bran Li; Matthew J. Barkovich; Liu Li; Maik Dannecker; Chen Chen 042; Cheng Ouyang; Niccolò McConnell; Alina Dana Miron; et al. (IEEE Trans. Medical Imaging, 2025)