Чланци са овлашћеним јавним приступом - Francesco La RosaСазнајте више
Доступно негде: 19
Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE
F La Rosa, A Abdulkadir, MJ Fartaria, R Rahmanzadeh, PJ Lu, ...
NeuroImage: Clinical 27, 102335, 2020
Овлашћења: Swiss National Science Foundation, European Commission
Myelin and axon pathology in multiple sclerosis assessed by myelin water and multi-shell diffusion imaging
R Rahmanzadeh, PJ Lu, M Barakovic, M Weigel, P Maggi, TD Nguyen, ...
Brain 144 (6), 1684-1696, 2021
Овлашћења: Swiss National Science Foundation, US National Institutes of Health …
Chronic white matter inflammation and serum neurofilament levels in multiple sclerosis
P Maggi, J Kuhle, S Schädelin, F Van Der Meer, M Weigel, R Galbusera, ...
Neurology 97 (6), e543-e553, 2021
Овлашћења: US National Institutes of Health, European Commission
A new advanced MRI biomarker for remyelinated lesions in multiple sclerosis
R Rahmanzadeh, R Galbusera, PJ Lu, E Bahn, M Weigel, M Barakovic, ...
Annals of neurology 92 (3), 486-502, 2022
Овлашћења: Swiss National Science Foundation, US National Institutes of Health …
CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis
P Maggi, MJ Fartaria, J Jorge, F La Rosa, M Absinta, P Sati, R Meuli, ...
NMR in Biomedicine 33 (5), e4283, 2020
Овлашћења: US National Institutes of Health, European Commission
RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis
G Barquero, F La Rosa, H Kebiri, PJ Lu, R Rahmanzadeh, M Weigel, ...
NeuroImage: Clinical 28, 102412, 2020
Овлашћења: Swiss National Science Foundation, European Commission
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps
HG Nguyen, A Pica, J Hrbacek, DC Weber, F La Rosa, A Schalenbourg, ...
International Conference on Medical Imaging with Deep Learning, 370-379, 2019
Овлашћења: European Commission, Swiss Cancer Foundation
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: Emerging machine learning techniques and future avenues
F La Rosa, M Wynen, O Al-Louzi, ES Beck, T Huelnhagen, P Maggi, ...
NeuroImage: Clinical 36, 103205, 2022
Овлашћења: Swiss National Science Foundation, US National Institutes of Health …
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis
F La Rosa, MJ Fartaria, T Kober, J Richiardi, C Granziera, JP Thiran, ...
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
Овлашћења: Swiss National Science Foundation, European Commission
Multiple sclerosis cortical lesion detection with deep learning at ultra‐high‐field MRI
F La Rosa, ES Beck, J Maranzano, RA Todea, P van Gelderen, ...
NMR in Biomedicine 35 (8), e4730, 2022
Овлашћења: US National Institutes of Health, European Commission
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients
F La Rosa, T Yu, G Barquero, JP Thiran, C Granziera, MB Cuadra
Computers in biology and medicine 132, 104297, 2021
Овлашћења: Swiss National Science Foundation, European Commission
Automated detection of cortical lesions in multiple sclerosis patients with 7T MRI
F La Rosa, ES Beck, A Abdulkadir, JP Thiran, DS Reich, P Sati, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
Овлашћења: Swiss National Science Foundation, European Commission
Novel structural-scale uncertainty measures and error retention curves: application to multiple sclerosis
N Molchanova, V Raina, A Malinin, F La Rosa, H Muller, M Gales, ...
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
Овлашћења: European Commission
BMAT: An open-source BIDS managing and analysis tool
CV Bulcke, M Wynen, J Detobel, F La Rosa, M Absinta, L Dricot, B Macq, ...
NeuroImage: Clinical 36, 103252, 2022
Овлашћења: Swiss National Science Foundation, National Fund for Scientific Research …
GAMER-MRI in multiple sclerosis identifies the diffusion-based microstructural measures that are most sensitive to focal damage: A Deep-Learning-Based Analysis and Clinico …
PJ Lu, M Barakovic, M Weigel, R Rahmanzadeh, R Galbusera, S Schiavi, ...
Frontiers in neuroscience 15, 647535, 2021
Овлашћења: Swiss National Science Foundation, European Commission
GAMER MRI: Gated-attention mechanism ranking of multi-contrast MRI in brain pathology
PJ Lu, Y Yoo, R Rahmanzadeh, R Galbusera, M Weigel, P Ceccaldi, ...
NeuroImage: Clinical 29, 102522, 2021
Овлашћења: Swiss National Science Foundation, European Commission
Unconstrained quantitative magnetization transfer imaging: Disentangling T1 of the free and semi-solid spin pools
J Assländer, A Mao, E Marchetto, ES Beck, FL Rosa, RW Charlson, ...
Imaging Neuroscience 2, 1-16, 2024
Овлашћења: Swiss National Science Foundation
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation
N Molchanova, V Raina, A Malinin, F La Rosa, A Depeursinge, M Gales, ...
Computers in biology and medicine 184, 109336, 2025
Овлашћења: UK Engineering and Physical Sciences Research Council, European Commission …
Automated assessment of paramagnetic rim lesions in multiple sclerosis patients with 3t and 7t Mp2Rage
F La Rosa, G Barquero, O Al-Louzi, B Maréchal, T Kober, JP Thiran, ...
Proceedings of the 2021 ISMRM & SMRT Annual Meeting & Eshibition. An Online …, 2021
Овлашћења: Swiss National Science Foundation, European Commission
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