Consenso argentino sobre parálisis cerebral. Rol del cuidado perinatal
Norma Bruno , Claudia Canizzaro , Alfredo Uranga , Juan Carlos Nassif
Revista del Hospital Materno Infantil Ramón Sardá 19 ( 3) 120 -124
5
2000
2017
Anatomically informed multi-level fiber tractography
Josien Pluim , Alexander Leemans , Alberto De Luca , Andrey Zhylka
bioRxiv
2020
Automatic, fast and robust characterization of noise distributions for diffusion MRI
Samuel St-Jean , Alberto De Luca , Max A. Viergever , Alexander Leemans
arXiv: Computer Vision and Pattern Recognition
2
2018
Functional and structural brain damage in Friedreich's Ataxia
Marinela Vavla , Filippo Arrigoni , Andrea Nordio , Alberto De Luca
Frontiers in Neurology 9 747 -747
11
2018
A Different Brain: Anomalies of Functional and Structural Connections in Williams Syndrome.
Chiara Gagliardi , Filippo Arrigoni , Andrea Nordio , Alberto De Luca
Frontiers in Neurology 9 721
3
2018
Automated characterization of noise distributions in diffusion MRI data.
Samuel St-Jean , Alberto De Luca , Chantal M.W. Tax , Max A. Viergever
Medical Image Analysis 65 101758
3
2020
Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?
Kurt G Schilling , François Rheault , Laurent Petit , Colin B Hansen
bioRxiv
78
2020
Effects of perfusion on DTI and DKI estimates in the skeletal muscle.
Alberto De Luca , Alessandra Bertoldo , Martijn Froeling
Magnetic Resonance in Medicine 78 ( 1) 233 -246
19
2017
Fractal analysis of MRI data for the characterization of patients with schizophrenia and bipolar disorder
Paolo Brambilla , Federico E Turkheimer , Alessandra Bertoldo , Letizia Squarcina
Physics in Medicine and Biology 60 ( 4) 1697 -1716
16
2015
Generalized Richardson-Lucy (GRL) for analyzing multi-shell diffusion MRI data.
Fenghua Guo , Alexander Leemans , Max A. Viergever , Flavio Dell’Acqua
NeuroImage 218 116948
4
2020
Spherical deconvolution with tissue-specific response functions and multi-shell diffusion MRI to estimate multiple fiber orientation distributions (mFODs).
Alberto De Luca , Fenghua Guo , Martijn Froeling , Alexander Leemans
NeuroImage 222 117206
2020
Quantitative Muscle MRI Protocol as Possible Biomarker in Becker Muscular Dystrophy
Lorenzo Maggi , Marco Moscatelli , Rita Frangiamore , Federica Mazzi
Clinical Neuroradiology-klinische Neuroradiologie 31 ( 1) 257 -266
6
2021
Multiparametric quantitative MRI assessment of thigh muscles in limb-girdle muscular dystrophy 2A and 2B.
Filippo Arrigoni , Alberto De Luca , Daniele Velardo , Francesca Magri
Muscle & Nerve 58 ( 4) 550 -558
13
2018
Three Reasons Why Artificial Intelligence Might Be the Radiologist's Best Friend.
Rick R. van Rijn , Alberto De Luca
Radiology 296 ( 1) 159 -160
3
2020
On the sensitivity of the diffusion MRI signal to brain activity in response to a motor cortex paradigm
Alberto De Luca , Lara Schlaffke , Jeroen C. W. Siero , Martijn Froeling
Human Brain Mapping 40 ( 17) 5069 -5082
6
2019
Thalamic energy dysfunction is associated with thalamo-cortical tract damage in multiple sclerosis: A diffusion spectroscopy study:
Vito AG Ricigliano , Matteo Tonietto , Raffaele Palladino , Emilie Poirion
Multiple Sclerosis Journal 27 ( 4) 1352458520921362 -1352458520921362
2021
Effects of Inaccurate Response Function Calibration on Characteristics of the Fiber Orientation Distribution in Diffusion MRI
Fenghua Guo , Chantal M.W. Tax , Alberto De Luca , Max A. Viergever
bioRxiv 760546
2
2019
Data-driven identification of the regions of interest for fiber tracking in patients with brain tumors.
Hussam Metwali , Alberto De Luca , Tamer Ibrahim , Alexander Leemans
World Neurosurgery 143
2020
Variability in the analysis of a single neuroimaging dataset by many teams
Tristan Glatard , Enrico Glerean , Jelle J. Goeman , Sergej A. E. Golowin
Nature 582 ( 7810) 84 -88
643
2020