Automated 3D reconstruction of the fetal thorax in the standard atlas space from motion-corrupted MRI stacks for 21–36 weeks GA range AU Uus, I Grigorescu, MPM van Poppel, JK Steinweg, TA Roberts, ... Medical image analysis 80, 102484, 2022 | 24 | 2022 |
Predicting age and clinical risk from the neonatal connectome Y Taoudi-Benchekroun, D Christiaens, I Grigorescu, O Gale-Grant, ... NeuroImage 257, 119319, 2022 | 19 | 2022 |
BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI AU Uus, V Kyriakopoulou, A Makropoulos, A Fukami-Gartner, D Cromb, ... bioRxiv, 2023 | 14 | 2023 |
Harmonized segmentation of neonatal brain MRI I Grigorescu, L Vanes, A Uus, D Batalle, L Cordero-Grande, C Nosarti, ... Frontiers in Neuroscience 15, 662005, 2021 | 12 | 2021 |
Spatio-temporal atlas of normal fetal craniofacial feature development and CNN-based ocular biometry for motion-corrected fetal MRI A Uus, J Matthew, I Grigorescu, S Jupp, LC Grande, A Price, E Hughes, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 12 | 2021 |
Automatic myocardial disease prediction from delayed-enhancement cardiac MRI and clinical information A Lourenço, E Kerfoot, I Grigorescu, CM Scannell, M Varela, TM Correia Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC …, 2021 | 11 | 2021 |
Multi-channel 4D parametrized atlas of macro-and microstructural neonatal brain development A Uus, I Grigorescu, M Pietsch, D Batalle, D Christiaens, E Hughes, ... Frontiers in Neuroscience 15, 661704, 2021 | 10 | 2021 |
Interpretable convolutional neural networks for preterm birth classification I Grigorescu, L Cordero-Grande, AD Edwards, J Hajnal, M Modat, ... arXiv preprint arXiv:1910.00071, 2019 | 10 | 2019 |
Diffusion tensor driven image registration: a deep learning approach I Grigorescu, A Uus, D Christiaens, L Cordero-Grande, J Hutter, ... International Workshop on Biomedical Image Registration, 131-140, 2020 | 9 | 2020 |
3D black blood cardiovascular magnetic resonance atlases of congenital aortic arch anomalies and the normal fetal heart: application to automated multi-label segmentation AU Uus, MPM van Poppel, JK Steinweg, I Grigorescu, P Ramirez Gilliland, ... Journal of Cardiovascular Magnetic Resonance 24 (1), 71, 2022 | 8 | 2022 |
3D UNet with GAN discriminator for robust localisation of the fetal brain and trunk in MRI with partial coverage of the fetal body A Uus, I Grigorescu, M van Poppel, E Hughes, J Steinweg, T Roberts, ... bioRxiv, 2021.06. 23.449574, 2021 | 7 | 2021 |
Real‐time fetal brain tracking for functional fetal MRI S Neves Silva, J Aviles Verdera, R Tomi‐Tricot, R Neji, A Uus, ... Magnetic resonance in medicine 90 (6), 2306-2320, 2023 | 5 | 2023 |
Multi-channel registration for diffusion MRI: longitudinal analysis for the neonatal brain A Uus, M Pietsch, I Grigorescu, D Christiaens, JD Tournier, LC Grande, ... Biomedical Image Registration: 9th International Workshop, WBIR 2020 …, 2020 | 5 | 2020 |
Continuous 4D atlas of normal fetal lung development and automated CNN-based lung volumetry for motion-corrected fetal body MRI A Uus, I Grigorescu, A Shetty, A Egloff, J Davidson, M Poppel International Society for Magnetic Resonance in Medicine (ISMRM), 713, 2021 | 4 | 2021 |
Investigating image registration impact on preterm birth classification: an interpretable deep learning approach I Grigorescu, L Cordero-Grande, A David Edwards, JV Hajnal, M Modat, ... International Workshop on Preterm, Perinatal and Paediatric Image Analysis …, 2019 | 4 | 2019 |
Empirical quantitative characterization of holographic phase images of normal and abnormal cervical cells by fractal descriptors M Mihailescu, EI Scarlat, IA Paun, I Grigorescu, R Radu, OT Nedelcu Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2018 | 4 | 2018 |
Automated body organ segmentation and volumetry for 3D motion-corrected T2-weighted fetal body MRI: a pilot pipeline AU Uus, M Hall, I Grigorescu, CA Zampieri, AE Collado, K Payette, ... medRxiv, 2023.05. 31.23290751, 2023 | 2* | 2023 |
Automated multi-class fetal cardiac vessel segmentation in aortic arch anomalies using t2-weighted 3D fetal MRI P Ramirez Gilliland, A Uus, MPM van Poppel, I Grigorescu, JK Steinweg, ... International Workshop on Preterm, Perinatal and Paediatric Image Analysis …, 2022 | 2 | 2022 |
Automated atlas-based multi-label fetal cardiac vessel segmentation in Congenital Heart Disease PR Gilliland, A Uus, MPM Van Poppel, I Grigorescu, JK Steinweg, ... bioRxiv, 2022.01. 14.476320, 2022 | 2 | 2022 |
Uncertainty-aware deep learning based deformable registration I Grigorescu, A Uus, D Christiaens, L Cordero-Grande, J Hutter, D Batalle, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 2 | 2021 |