| 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 | 80 | 2019 |
| 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 | 16 | 2016 |
| 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 | 15 | 2019 |
| 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 | 12 | 2016 |
| 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 | 12 | 2015 |
| 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 | 7 | 2016 |
| 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 | 5 | 2015 |
| 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 | 4 | 2019 |
| Perfusion deconvolution in DSC-MRI with dispersion-compliant bases M Pizzolato, T Boutelier, R Deriche Medical image analysis 36, 197-215, 2017 | 4 | 2017 |
| 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 | 3 | 2021 |
| Adaptive phase correction of diffusion-weighted images M Pizzolato, G Gilbert, JP Thiran, M Descoteaux, R Deriche NeuroImage 206, 116274, 2020 | 3 | 2020 |
| 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 | 3 | 2020 |
| 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 | 3 | 2020 |
| 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 | 3 | 2019 |
| 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 | 3 | 2019 |
| 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 | 3 | 2017 |
| 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 | 3 | 2017 |
| Magnitude and complex based diffusion signal reconstruction M Pizzolato, A Ghosh, T Boutelier, R Deriche Computational Diffusion MRI, 127-140, 2014 | 3 | 2014 |
| 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 | 2 | 2021 |
| 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 | 2 | 2019 |
Rachid DericheInria Research Director - Athena Project Team LeaderVerified email at inria.fr
