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Nuno Pedrosa de Barros
Nuno Pedrosa de Barros
icometrix, Leuven, Belgium
在 icometrix.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Automatic quality control in clinical 1H MRSI of brain cancer
N Pedrosa de Barros, R McKinley, U Knecht, R Wiest, J Slotboom
NMR in Biomedicine 29 (5), 563-575, 2016
442016
Automated MRI volumetry as a diagnostic tool for Alzheimer's disease: Validation of icobrain dm
H Struyfs, DM Sima, M Wittens, A Ribbens, NP de Barros, T Vân Phan, ...
NeuroImage: Clinical 26, 102243, 2020
432020
Quality management in in vivo proton MRS
NP de Barros, J Slotboom
Analytical Biochemistry 529, 98-116, 2017
292017
Quality of clinical brain tumor MR spectra judged by humans and machine learning tools
SP Kyathanahally, V Mocioiu, N Pedrosa de Barros, J Slotboom, ...
Magnetic resonance in medicine 79 (5), 2500-2510, 2018
282018
Improving labeling efficiency in automatic quality control of MRSI data
N Pedrosa de Barros, R McKinley, R Wiest, J Slotboom
Magnetic resonance in medicine 78 (6), 2399-2405, 2017
232017
A contrast augmentation approach to improve multi-scanner generalization in MRI
MI Meyer, E de la Rosa, N Pedrosa de Barros, R Paolella, K Van Leemput, ...
Frontiers in neuroscience 15, 708196, 2021
182021
MRI biomarkers for Alzheimer's disease: the impact of functional connectivity in the default mode network and structural connectivity between lobes on diagnostic accuracy
R Mohtasib, J Alghamdi, A Jobeir, A Masawi, NP De Barros, T Billiet, ...
Heliyon 8 (2), 2022
142022
Analysis of metabolic abnormalities in high‐grade glioma using MRSI and convex NMF
N Pedrosa de Barros, R Meier, M Pletscher, S Stettler, U Knecht, M Reyes, ...
NMR in Biomedicine 32 (8), e4109, 2019
102019
On the relation between MR spectroscopy features and the distance to MRI‐visible solid tumor in GBM patients
N Pedrosa de Barros, R Meier, M Pletscher, S Stettler, U Knecht, ...
Magnetic resonance in medicine 80 (6), 2339-2355, 2018
72018
Automatic quality assessment of short and long-TE brain tumour MRSI data using novel Spectral Features
NM Pedrosa de Barros, U Knecht, R McKinley, J Giezendanner, R Wiest, ...
ISMRM 2016, Singapore, 2016
7*2016
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases
V Mocioiu, NMP De Barros, S Ortega Martorell, J Slotboom, U Knecht, ...
ESANN 2016 proceedings: European Symposium on Artificial Neural Networks …, 2016
42016
Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions
L Canalini, J Klein, NP de Barros, DM Sima, D Miller, H Hahn
Medical Imaging 2021: Image-Guided Procedures, Robotic Interventions, and …, 2021
22021
Highlighting differences between GBM and brain metastasis using a blind source separation method applied to MRSI data
NM Pedrosa de Barros, V Mocioiu, S Ortega Martorell, U Knecht, C Arús, ...
ESMRMB 2015, Edinburgh, UK, 2015
22015
Analysis of structural and functional connectivity MRI biomarkers in Alzheimer’s disease: Neuroimaging/Multi‐modal comparisons
D Smeets, NP de Barros, T Billiet, DM Sima, R Mohtasib, J Alghamdi, ...
Alzheimer's & Dementia 16, e042891, 2020
12020
Evaluation of spinal cord atrophy in different MS subtypes using icospine
W Van Hecke, T Billiet, NP de Barros, D Sima, F Durand-Dubief, ...
MULTIPLE SCLEROSIS JOURNAL 25, 339-340, 2019
12019
Computer Aided Radiological Diagnostics: Random Forest Classification of Glioma Tumor Progression using Image Texture Parameters derived from ADC-Maps
J Slotboom, NP de Barros, N Porz, U Knecht, P Schucht, E Hermann, ...
Proceedings of the 23rd Annual Meeting of the ISMRM 2262, 2014
12014
Evaluating the effect of dimethyl fumarate on subclinical biomarkers in a real-world patient cohort
S Krieger, M Zarif, B Bumstead, M Buhse, O Kaczmarek, J Srinivasan, ...
Journal of Neuroimmunology, 578397, 2024
2024
AI-based characterization of multiple sclerosis clinical symptomatology using lesion parenchymal fraction: empirical support for the topographical model of MS (P3-3.018)
S Krieger, T Billiet, C Maes, N De Barros, W Van Hecke, A Ribbens, ...
Neurology 100 (17_supplement_2), 3053, 2023
2023
AI-based characterisation of multiple sclerosis clinical symptomatology using lesion parenchymal fraction: consistency with the topographical model of MS
S Krieger, T Billiet, C Maes, A Chatterjee, N de Barros, W Van Hecke, ...
MULTIPLE SCLEROSIS JOURNAL 28 (3_ SUPPL), 809-809, 2022
2022
Phenotype‐dependent relationships between cortical macro‐and micro‐structural neurodegeneration in frontotemporal lobar degeneration
K Placek, V Anania, T Van Phan, NP de Barros, T Billiet, A Ribbens, ...
Alzheimer's & Dementia 17, e051717, 2021
2021
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