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Marco Pizzolato
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2020 – today
- 2023
- [j14]Marco Pizzolato
, Erick Jorge Canales-Rodríguez
Axial and radial axonal diffusivities and radii from single encoding strongly diffusion-weighted MRI. Medical Image Anal. 86: 102767 (2023) - [j13]Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277: 120231 (2023) - [j12]Daniel Fernández
Comparative Analysis of Machine Learning Algorithms for Soil Erosion Modelling Based on Remotely Sensed Data. Remote. Sens. 15(2): 482 (2023) - 2022
- [j11]Mariam Andersson, Marco Pizzolato
Does powder averaging remove dispersion bias in diffusion MRI diameter estimates within real 3D axonal architectures? NeuroImage 248: 118718 (2022) - [j10]Chiara Maffei
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [j9]Philipp J. Koch
Evaluating reproducibility and subject-specificity of microstructure-informed connectivity. NeuroImage 258: 119356 (2022) - [i1]Marco Pizzolato, Erick Jorge Canales-Rodríguez, Mariam Andersson, Tim B. Dyrby:
Axial and radial axonal diffusivities from single encoding strongly diffusion-weighted MRI. CoRR abs/2207.02526 (2022) - 2021
- [j8]Thomas Yu, Erick Jorge Canales-Rodríguez
Model-informed machine learning for multi-component T2 relaxometry. Medical Image Anal. 69: 101940 (2021) - [j7]Erick Jorge Canales-Rodríguez
Comparison of non-parametric T2 relaxometry methods for myelin water quantification. Medical Image Anal. 69: 101959 (2021) - [j6]Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021) - [j5]Erick Jorge Canales-Rodríguez
Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares. NeuroImage 244: 118582 (2021) - [c14]Elda Fischi Gomez, Jonathan Rafael-Patino, Marco Pizzolato
Multi-Compartment Diffusion Mri, T2 Relaxometry And Myelin Water Imaging As Neuroimaging Descriptors For Anomalous Tissue Detection. ISBI 2021: 307-311 - [c13]Hamza Kebiri
Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom. CDMRI@MICCAI 2021: 12-22 - [c12]Jonathan Rafael-Patino, Gabriel Girard, Raphaël Truffet, Marco Pizzolato
The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Dataset. CDMRI@MICCAI 2021: 159-170 - 2020
- [j4]Marco Pizzolato
Adaptive phase correction of diffusion-weighted images. NeuroImage 206 (2020) - [c11]Raphaël Truffet, Jonathan Rafael-Patino, Gabriel Girard, Marco Pizzolato
An Evolutionary Framework for Microstructure-Sensitive Generalized Diffusion Gradient Waveforms. MICCAI (2) 2020: 94-103
2010 – 2019
- 2019
- [j3]Erick Jorge Canales-Rodríguez, Jon Haitz Legarreta
Sparse wars: A survey and comparative study of spherical deconvolution algorithms for diffusion MRI. NeuroImage 184: 140-160 (2019) - [j2]Kurt G. Schilling
Limits to anatomical accuracy of diffusion tractography using modern approaches. NeuroImage 185: 1-11 (2019) - [c10]Thomas Yu, Marco Pizzolato
Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler. IPMI 2019: 818-829 - [c9]Marco Pizzolato
Spatially Varying Monte Carlo Sure for the Regularization of Biomedical Images. ISBI 2019: 1639-1642 - [c8]Thomas Yu, Marco Pizzolato
Robust T2 Relaxometry With Hamiltonian MCMC for Myelin Water Fraction Estimation. ISBI 2019: 1813-1817 - 2017
- [b1]Marco Pizzolato:
Computational Diffusion & Perfusion MRI in Brain Imaging. (IRM computationnelle de diffusion et de perfusion en imagerie cérébrale). University of Côte d'Azur, France, 2017 - [j1]Marco Pizzolato
Perfusion deconvolution in DSC-MRI with dispersion-compliant bases. Medical Image Anal. 36: 197-215 (2017) - [c7]Abib Alimi, Marco Pizzolato
Solving the inclination sign ambiguity in three dimensional Polarized Light Imaging with a PDE-based method. ISBI 2017: 737-740 - [c6]Rutger Henri Jacques Fick, Neda Sepasian, Marco Pizzolato
Assessing the feasibility of estimating axon diameter using diffusion models and machine learning. ISBI 2017: 766-769 - 2016
- [c5]Marco Pizzolato
Elucidating dispersion effects in perfusion MRI by means of dispersion-compliant bases. ISBI 2016: 440-443 - [c4]Rutger Henri Jacques Fick, Marco Pizzolato
A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition. ISBI 2016: 1241-1244 - 2015
- [c3]Rutger Fick, Demian Wassermann
A Unifying Framework for Spatial and Temporal Diffusion in Diffusion MRI. IPMI 2015: 167-178 - [c2]Marco Pizzolato
Perfusion MRI deconvolution with delay estimation and non-negativity constraints. ISBI 2015: 1073-1076 - [c1]Marco Pizzolato
Exploiting the Phase in Diffusion MRI for Microstructure Recovery: Towards Axonal Tortuosity via Asymmetric Diffusion Processes. MICCAI (1) 2015: 109-116
Coauthor Index
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