Davide Piccini

11PUBLICATIONS
27CO-AUTHORS
Computational physiologySemi- and unsupervised learningComputational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)Deep learningMultiphysics flows (incl. multiphase and reacting flows)
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Publications (11)

|Nov 05, 2025
Automatic Respiratory and Bulk Patient Motion Corrected 3D Fetal MRI.

Robin Ferincz, Leonor Alamo, Aurelio Secinaro

|May 13, 2024
Motion Compensated Unsupervised Deep Learning for 5D MRI.

Joseph Kettelkamp, Ludovica Romanin, Davide Piccini

|Apr 27, 2023
Motion-resolved fat-fraction mapping with whole-heart free-running multiecho GRE and pilot tone.

Adèle L C Mackowiak, Christopher W Roy, Jérôme Yerly

|May 03, 2021
Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images.

Davide Piccini, Robin Demesmaeker, John Heerfordt

|Feb 24, 2021
Similarity-driven multi-dimensional binning algorithm (SIMBA) for free-running motion-suppressed whole-heart MRA.

John Heerfordt, Kevin K Whitehead, Jessica A M Bastiaansen

|Jan 05, 2021
Using 5D flow MRI to decode the effects of rhythm on left atrial 3D flow dynamics in patients with atrial fibrillation.

Liliana Ma, Jérôme Yerly, Lorenzo Di Sopra

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Frequent Collaborators

7 joint publications

Matthias Stuber

6 joint publications

Lorenzo Di Sopra

4 joint publications

Jérôme Yerly

4 joint publications

Jessica A M Bastiaansen