| 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 | 233 | 2019 |
| 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, ... Neuroimage 243, 118502, 2021 | 137 | 2021 |
| 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 | 39 | 2019 |
| Comparison of biomarkers in transgenic alzheimer rats using multi-shell diffusion MRI RHJ Fick, M Daianu, M Pizzolato, D Wassermann, RE Jacobs, ... Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016 …, 2017 | 37 | 2017 |
| 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 | 35 | 2021 |
| 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 | 24 | 2021 |
| Comparison of non-parametric T2 relaxometry methods for myelin water quantification EJ Canales-Rodríguez, M Pizzolato, GF Piredda, T Hilbert, N Kunz, C Pot, ... Medical Image Analysis 69, 101959, 2021 | 23 | 2021 |
| 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: MICCAI Workshop, Shenzhen, China, October 2019 …, 2020 | 23 | 2020 |
| Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI C Maffei, G Girard, KG Schilling, DB Aydogan, N Adluru, A Zhylka, Y Wu, ... NeuroImage 257, 119327, 2022 | 22 | 2022 |
| Adaptive phase correction of diffusion-weighted images M Pizzolato, G Gilbert, JP Thiran, M Descoteaux, R Deriche NeuroImage 206, 116274, 2020 | 20 | 2020 |
| 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 Computational Diffusion MRI: MICCAI Workshop, Athens, Greece, October 2016 …, 2017 | 20 | 2017 |
| Does powder averaging remove dispersion bias in diffusion MRI diameter estimates within real 3D axonal architectures? M Andersson, M Pizzolato, HM Kjer, KF Skodborg, H Lundell, TB Dyrby NeuroImage 248, 118718, 2022 | 16 | 2022 |
| Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage, 243, Article 118502 KG Schilling, F Rheault, L Petit, CB Hansen, V Nath, FC Yeh, G Girard, ... | 16 | 2021 |
| The diffusion-simulated connectivity (DiSCo) dataset J Rafael-Patino, G Girard, R Truffet, M Pizzolato, E Caruyer, JP Thiran Data in Brief 38, 107429, 2021 | 13 | 2021 |
| Revisiting the T2 spectrum imaging inverse problem: Bayesian regularized non-negative least squares EJ Canales-Rodríguez, M Pizzolato, T Yu, GF Piredda, T Hilbert, J Radua, ... Neuroimage 244, 118582, 2021 | 12 | 2021 |
| 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 | 11 | 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 | 11 | 2015 |
| Perfusion deconvolution in DSC-MRI with dispersion-compliant bases M Pizzolato, T Boutelier, R Deriche Medical Image Analysis 36, 197-215, 2017 | 10 | 2017 |
| Computational Diffusion MRI: MICCAI Workshop, Shenzhen, China, October 2019 E Bonet-Carne, J Hutter, M Palombo, M Pizzolato, F Sepehrband, ... Springer Nature, 2020 | 9 | 2020 |
| 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 | 9 | 2017 |
Rachid DericheInria Research Director, Emeritus - Member of the Academia Europaea在 inria.fr 的电子邮件经过验证
