| Acquiring and predicting MUlti-dimensional DIffusion (MUDI) data: an open challenge ISMRM 28th Annual Meeting & Exhibition, 3497, 2020 | 24* | 2020 |
| On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge A De Luca, A Ianus, A Leemans, M Palombo, N Shemesh, H Zhang, ... NeuroImage 240, 118367, 2021 | 18 | 2021 |
| Computational Diffusion MRI M Pizzolato, M Palombo, E Bonet-Carne, CMW Tax, F Grussu, A Ianus, ... Springer International Publishing, 2020 | 5 | 2020 |
| Single-shell return-to-the-origin probability diffusion MRI measure under a non-stationary Rician distributed noise T Pieciak, F Bogusz, A Tristán-Vega, R de Luis-García, S Aja-Fernández 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 4 | 2019 |
| Resolving to super resolution multi-dimensional diffusion imaging (Super-MUDI) V Nath, M Pizzolato, M Palombo, N Gyori, KG Schilling, CH Hansen, Y Qi, ... ISMRM & SMRT Annual Meeting, 2021 | 3 | 2021 |
| Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge G Girard, J Rafael-Patiño, R Truffet, DB Aydogan, N Adluru, VA Nair, ... NeuroImage 277, 120231, 2023 | 2 | 2023 |
| Diffusion-relaxation scattered MR signal representation in a multi-parametric sequence F Bogusz, T Pieciak, M Afzali, M Pizzolato Magnetic Resonance Imaging 91, 52-61, 2022 | 1 | 2022 |
| The effect of inversion time on a two-compartment SMT and NODDI: an in vivo study D Ciupek, M Afzali, F Bogusz, M Pizzolato, DK Jones, T Pieciak International Society for Magnetic Resonance Imaging (ISMRM 2021), 2847, 2021 | 1 | 2021 |
| Is the inversion time important? A study of the reciprocal influence of inversion time and b-value on diffusion and longitudinal relaxation in MRI T Pieciak, M Afzali, F Bogusz, D Ciupek, DK Jones, M Pizzolato International Society for Magnetic Resonance Imaging (ISMRM 2021), 209, 2021 | 1 | 2021 |
| Q-space quantitative diffusion MRI measures using a stretched-exponential representation T Pieciak, M Afzali, F Bogusz, S Aja-Fernández, DK Jones Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru …, 2021 | 1 | 2021 |
| Próbkowanie oszczędne w obrazowaniu metodą rezonansu magnetycznego F Bogusz, T Pieciak Wszechświat 121 (07-09), 2020 | | 2020 |
| Gamma kurtosis model in diffusion-relaxometry signal prediction DKJ Fabian Bogusz, Tomasz Pieciak, Maryam Afzali, Marco Pizzolato, Santiago ... IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020), 2020 | | 2020 |
| On the generalizability of diffusion MRI signal representations across acquisition parameters: chronicles of the MEMENTO challenge. A De Luca, A Ianus, A Leemans, M Palombo, HG Zhang, DC Alexander, ... | | |
