| The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction A Makropoulos, EC Robinson, A Schuh, R Wright, S Fitzgibbon, J Bozek, ... Neuroimage 173, 88-112, 2018 | 385 | 2018 |
| Multimodal surface matching with higher-order smoothness constraints EC Robinson, K Garcia, MF Glasser, Z Chen, TS Coalson, A Makropoulos, ... Neuroimage 167, 453-465, 2018 | 224 | 2018 |
| Differential diagnosis of neurodegenerative diseases using structural MRI data J Koikkalainen, H Rhodius-Meester, A Tolonen, F Barkhof, B Tijms, ... NeuroImage: Clinical 11, 435-449, 2016 | 176 | 2016 |
| Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database C Ledig, A Schuh, R Guerrero, RA Heckemann, D Rueckert Scientific reports 8 (1), 11258, 2018 | 158 | 2018 |
| The developing Human Connectome Project (dHCP) automated resting-state functional processing framework for newborn infants SP Fitzgibbon, SJ Harrison, M Jenkinson, L Baxter, EC Robinson, ... NeuroImage 223, 117303, 2020 | 96 | 2020 |
| The Developing Human Connectome Project: typical and disrupted perinatal functional connectivity M Eyre, SP Fitzgibbon, J Ciarrusta, L Cordero-Grande, AN Price, T Poppe, ... Brain 144 (7), 2199-2213, 2021 | 93 | 2021 |
| Image-and-spatial transformer networks for structure-guided image registration MCH Lee, O Oktay, A Schuh, M Schaap, B Glocker Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 89 | 2019 |
| Construction of a neonatal cortical surface atlas using multimodal surface matching in the developing human connectome project J Bozek, A Makropoulos, A Schuh, S Fitzgibbon, R Wright, MF Glasser, ... NeuroImage 179, 11-29, 2018 | 84 | 2018 |
| Unbiased construction of a temporally consistent morphological atlas of neonatal brain development A Schuh, A Makropoulos, EC Robinson, L Cordero-Grande, E Hughes, ... BioRxiv, 251512, 2018 | 64 | 2018 |
| Learning-based quality control for cardiac MR images G Tarroni, O Oktay, W Bai, A Schuh, H Suzuki, J Passerat-Palmbach, ... IEEE transactions on medical imaging 38 (5), 1127-1138, 2018 | 58 | 2018 |
| Assessing the relationship between movement and airflow in the upper airway using computational fluid dynamics with motion determined from magnetic resonance imaging AJ Bates, A Schuh, G Amine-Eddine, K McConnell, W Loew, RJ Fleck, ... Clinical Biomechanics 66, 88-96, 2019 | 57 | 2019 |
| A deformable model for the reconstruction of the neonatal cortex A Schuh, A Makropoulos, R Wright, EC Robinson, N Tusor, J Steinweg, ... 2017 IEEE 14th international symposium on biomedical imaging (ISBI 2017 …, 2017 | 50 | 2017 |
| The developing human connectome project neonatal data release AD Edwards, D Rueckert, SM Smith, S Abo Seada, A Alansary, J Almalbis, ... Frontiers in neuroscience 16, 886772, 2022 | 47 | 2022 |
| Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain G Ball, J Seidlitz, J O’Muircheartaigh, R Dimitrova, D Fenchel, ... PLoS biology 18 (11), e3000976, 2020 | 46 | 2020 |
| Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age R Dimitrova, M Pietsch, J Ciarrusta, SP Fitzgibbon, LZJ Williams, ... NeuroImage 243, 118488, 2021 | 44 | 2021 |
| Development of microstructural and morphological cortical profiles in the neonatal brain D Fenchel, R Dimitrova, J Seidlitz, EC Robinson, D Batalle, J Hutter, ... Cerebral Cortex 30 (11), 5767-5779, 2020 | 43 | 2020 |
| Modelling brain development to detect white matter injury in term and preterm born neonates J O'Muircheartaigh, EC Robinson, M Pietsch, T Wolfers, P Aljabar, ... Brain 143 (2), 467-479, 2020 | 43 | 2020 |
| Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting T Tong, C Ledig, R Guerrero, A Schuh, J Koikkalainen, A Tolonen, ... NeuroImage: Clinical 15, 613-624, 2017 | 42 | 2017 |
| Learning diffeomorphic and modality-invariant registration using b-splines H Qiu, C Qin, A Schuh, K Hammernik, D Rueckert Medical Imaging with Deep Learning, 2021 | 41 | 2021 |
| Construction of a 4D brain atlas and growth model using diffeomorphic registration A Schuh, M Murgasova, A Makropoulos, C Ledig, SJ Counsell, JV Hajnal, ... Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data …, 2015 | 33 | 2015 |
Daniel RueckertTechnical University of Munich and Imperial College LondonVerified email at tum.de
