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Nuno Pedrosa de Barros
Nuno Pedrosa de Barros
icometrix, Leuven, Belgium
Verified email at icometrix.com
Title
Cited by
Cited by
Year
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
432016
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
362020
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
262018
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
222017
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
122022
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
102021
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
92019
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
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
62018
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
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
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
12021
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
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
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), 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
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
2019
Prediction of Tumor Progression Time Interval in Malignant Glioma Using Textural Information derived from FLAIR and T1c MR-images and Machine Learning
J Slotboom, U Knecht, NP de Barros, T Nannen, M Zbinden, E Hewer, ...
Proc. Intl. Soc. Mag. Reson. Med 26, 0896, 2018
2018
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