| 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 | 467 | 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 | 266 | 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 | 193 | 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 | 188 | 2018 |
| 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 | 131 | 2021 |
| 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 | 120 | 2020 |
| 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 | 100 | 2018 |
| 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 | 99 | 2019 |
| 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 | 95 | 2022 |
| 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 | 77 | 2018 |
| 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 | 71 | 2021 |
| 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 | 70 | 2021 |
| 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 | 65 | 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 | 61 | 2019 |
| 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 | 56 | 2020 |
| 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 | 54 | 2017 |
| 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 | 50 | 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 | 50 | 2017 |
| 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 | 47 | 2020 |
| Atlas-ISTN: joint segmentation, registration and atlas construction with image-and-spatial transformer networks M Sinclair, A Schuh, K Hahn, K Petersen, Y Bai, J Batten, M Schaap, ... Medical Image Analysis 78, 102383, 2022 | 38 | 2022 |
Daniel RueckertTechnical University of Munich and Imperial College Londontum.de üzerinde doğrulanmış e-posta adresine sahip
