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Eliza Orasanu
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Citata da
Anno
Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI
Z Eaton-Rosen, A Melbourne, E Orasanu, MJ Cardoso, M Modat, ...
NeuroImage 111, 580-589, 2015
1072015
Longitudinal development in the preterm thalamus and posterior white matter: MRI correlations between diffusion weighted imaging and T2 relaxometry
A Melbourne, Z Eaton‐Rosen, E Orasanu, D Price, A Bainbridge, ...
Human Brain Mapping 37 (7), 2479-2492, 2016
352016
Cortical folding of the preterm brain: a longitudinal analysis of extremely preterm born neonates using spectral matching
E Orasanu, A Melbourne, MJ Cardoso, H Lombaert, GS Kendall, ...
Brain and behavior, 2016
282016
Brain volume estimation from post-mortem newborn and fetal MRI
E Orasanu, A Melbourne, MJ Cardoso, M Modat, AM Taylor, S Thayyil, ...
NeuroImage: Clinical 6, 438-444, 2014
272014
T2 relaxometry in the extremely-preterm brain at adolescence
N Dingwall, A Chalk, TI Martin, CJ Scott, C Semedo, Q Le, E Orasanu, ...
Magnetic resonance imaging 34 (4), 508-514, 2016
132016
Organ-at-risk segmentation in brain MRI using model-based segmentation: benefits of deep learning-based boundary detectors
E Orasanu, T Brosch, C Glide-Hurst, S Renisch
International Workshop on Shape in Medical Imaging, 291-299, 2018
112018
Longitudinal measurement of the developing thalamus in the preterm brain using multi-modal MRI
Z Eaton-Rosen, A Melbourne, E Orasanu, M Modat, MJ Cardoso, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014
72014
Longitudinal analysis of the preterm cortex using multi-modal spectral matching
E Orasanu, PL Bazin, A Melbourne, M Lorenzi, H Lombaert, NJ Robertson, ...
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016
62016
Tensor spectral matching of diffusion weighted images
E Orasanu, A Melbourne, M Lorenzi, M Modat, H Lombaert, ...
SAMI Conference Proceedings, MIDAS Journal, 35-44, 2015
62015
Deep learning-based spine centerline extraction in fetal ultrasound
A Franz, A Schmidt-Richberg, E Orasanu, C Lorenz
Bildverarbeitung für die Medizin 2021: Proceedings, German Workshop on …, 2021
52021
A novel and rapid approach to estimate patient-specific distortions based on mDIXON MRI
S Weiss, S Nejad-Davarani, H Eggers, E Orasanu, S Renisch, ...
Physics in Medicine & Biology 64 (15), 155002, 2019
52019
Apparatus for identifying regions in a brain image
ET Orasanu, F Wenzel
US Patent App. 17/296,653, 2022
42022
Prefrontal cortical folding of the preterm brain: a longitudinal analysis of preterm-born neonates
E Orasanu, A Melbourne, H Lombaert, MJ Cardoso, SF Johnsen, ...
Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data …, 2015
42015
Local shape analysis of the thalamus in extremely preterm born young adults
E Orasanu, A Melbourne, Z Eaton-Rosen, D Atkinson, J Lawan, ...
International Society for Magnetic Resonance in Medicine (ISMRM) 24, 565-565, 2016
22016
White matter alterations in young adults born extremely preterm: a microstructural point of views
Z Eaton-Rosen, A Melbourne, E Orasanu, J Beckmann, N Stevens, ...
Proc. 24th Annual meeting of the international society for magnetic …, 2016
22016
Cortical maturation in the preterm period revealed using a multi-component diffusion-weighted MR model
Z Eaton-Rosen, A Melbourne, E Orasanu, A Bainbridge, GS Kendall, ...
Proceedings of the International Society for Magnetic Resonance in Medice 80, 2014
22014
Spectral matching for assessing image segmentation
E ORASANU, C Buerger, S Renisch
12019
Toward automated MR-only planning of the brain: organ-at-risk segmentation
E Orasanu, CK Glide-Hurst, T Stehle, C Buerger, S Renisch
12017
Cortical folding patterns in extremely preterm born young adults
E Orasanu, A Melbourne, Z Eaton-Rosen, D Atkinson, A Saborowska, ...
International Society for Magnetic Resonance in Medicine (ISMRM) 24, 4085-4085, 2016
12016
Fitting parametric models of diffusion MRI in regions of partial volume
Z Eaton-Rosen, MJ Cardoso, A Melbourne, E Orasanu, A Bainbridge, ...
Medical Imaging 2016: Image Processing 9784, 902-910, 2016
12016
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