Marco Pizzolato
Marco Pizzolato
Postdoctoral Researcher, DTU, Epfl, DRCMR
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Limits to anatomical accuracy of diffusion tractography using modern approaches
KG Schilling, V Nath, C Hansen, P Parvathaneni, J Blaber, Y Gao, ...
NeuroImage 185, 1-11, 2019
802019
Comparison of biomarkers in transgenic alzheimer rats using multi-shell diffusion MRI
RHJ Fick, M Daianu, M Pizzolato, D Wassermann, RE Jacobs, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2016
162016
Sparse wars: A survey and comparative study of spherical deconvolution algorithms for diffusion MRI
EJ Canales-Rodríguez, JH Legarreta, M Pizzolato, G Rensonnet, G Girard, ...
NeuroImage 184, 140-160, 2019
152019
Noise floor removal via phase correction of complex diffusion-weighted images: Influence on dti and q-space metrics
M Pizzolato, R Fick, T Boutelier, R Deriche
International Conference on Medical Image Computing and Computer-Assisted …, 2016
122016
A unifying framework for spatial and temporal diffusion in diffusion MRI
R Fick, D Wassermann, M Pizzolato, R Deriche
International Conference on Information Processing in Medical Imaging, 167-178, 2015
122015
A sensitivity analysis of q-space indices with respect to changes in axonal diameter, dispersion and tissue composition
RHJ Fick, M Pizzolato, D Wassermann, M Zucchelli, G Menegaz, ...
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1241-1244, 2016
72016
Exploiting the phase in diffusion MRI for microstructure recovery: towards axonal tortuosity via asymmetric diffusion processes
M Pizzolato, D Wassermann, T Boutelier, R Deriche
International Conference on Medical Image Computing and Computer-Assisted …, 2015
52015
Is it feasible to directly access the bundle’s specific myelin content, instead of averaging? A study with Microstructure Informed Tractography
S Schiavi, M Pizzolato, M Ocampo-Pineda, EJ Canales-Rodriguez, ...
ISMRM 27th Annual Meeting & Exhibition, 2019
42019
Perfusion deconvolution in DSC-MRI with dispersion-compliant bases
M Pizzolato, T Boutelier, R Deriche
Medical image analysis 36, 197-215, 2017
42017
Fast and high‐resolution myelin water imaging: Accelerating multi‐echo GRASE with CAIPIRINHA
GF Piredda, T Hilbert, EJ Canales‐Rodríguez, M Pizzolato, C von Deuster, ...
Magnetic Resonance in Medicine 85 (1), 209-222, 2021
32021
Adaptive phase correction of diffusion-weighted images
M Pizzolato, G Gilbert, JP Thiran, M Descoteaux, R Deriche
NeuroImage 206, 116274, 2020
32020
Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?
KG Schilling, F Rheault, L Petit, CB Hansen, V Nath, FC Yeh, G Girard, ...
bioRxiv, 2020
32020
Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
M Pizzolato, M Palombo, E Bonet-Carne, CMW Tax, F Grussu, A Ianus, ...
Computational Diffusion MRI, 195-208, 2020
32020
Orientation-dispersed apparent axon diameter via multi-stage spherical mean optimization
M Pizzolato, D Wassermann, R Deriche, JP Thiran, R Fick
International Conference on Medical Image Computing and Computer-Assisted …, 2019
32019
Robust T2 Relaxometry with Hamiltonian MCMC for Myelin Water Fraction Estimation
M Pizzolato, T Yu, EJ Canales-Rodrı́guez, JP Thiran
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI), 2019
32019
Solving the inclination sign ambiguity in three dimensional polarized light imaging with a pde-based method
A Alimi, M Pizzolato, RHJ Fick, R Deriche
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
32017
Assessing the feasibility of estimating axon diameter using diffusion models and machine learning
RHJ Fick, N Sepasian, M Pizzolato, A Ianus, R Deriche
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
32017
Magnitude and complex based diffusion signal reconstruction
M Pizzolato, A Ghosh, T Boutelier, R Deriche
Computational Diffusion MRI, 127-140, 2014
32014
Model-informed machine learning for multi-component T2 relaxometry
T Yu, EJ Canales-Rodríguez, M Pizzolato, GF Piredda, T Hilbert, ...
Medical Image Analysis 69, 101940, 2021
22021
Robust biophysical parameter estimation with a neural network enhanced hamiltonian markov chain monte carlo sampler
T Yu, M Pizzolato, G Girard, J Rafael-Patino, EJ Canales-Rodríguez, ...
International Conference on Information Processing in Medical Imaging, 818-829, 2019
22019
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