Alessandro Sbrizzi

According to our database, Alessandro Sbrizzi authored at least 15 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Model-based Dynamic 3D MRI Reconstructions using Neural Fields and Tensor Product Expansions.

Ray Sheombarsing, Max H. C. van Riel, David Heesterbeek, Nico van den Berg, Alessandro Sbrizzi

CoRR, May, 2026

Quantitative mapping from conventional MRI using self-supervised physics-guided deep learning: applications to a large-scale, clinically heterogeneous dataset.

Jelmer van Lune, Stefano Mandija, Oscar van der Heide, Matteo Maspero, Martin B. Schilder, Jan Willem Dankbaar, Cornelis A. T. van den Berg, Alessandro Sbrizzi

CoRR, January, 2026

2025

Repeatability and reproducibility of joint T1-T2 transient-state relaxometry across multiple vendors and implementations at 3T in phantom and human brain.

Marta Lancione, Matteo Cencini, Domenico Aquino, Cristina Baldoli, Maurizio Elia, Francesco Ghielmetti, Domenico Montanaro, Ilaria Neri, Anna Nigri, Rosa Pasquariello, Salvatore Pettinato, Salvatore Romano, Alessandro Sbrizzi, Paola Scifo, Oscar van der Heide, Edwin Versteeg, Laura Biagi, Michela Tosetti

NeuroImage, 2025

2024

Data-Driven Discovery of Mechanical Models Directly From MRI Spectral Data.

David G. J. Heesterbeek, Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi

IEEE Trans. Computational Imaging, 2024

2023

Gaussian Processes for real-time 3D motion and uncertainty estimation during MR-guided radiotherapy.

Niek R. F. Huttinga, Tom Bruijnen, Cornelis A. T. van den Berg, Alessandro Sbrizzi

Medical Image Anal., August, 2023

Time-Resolved Reconstruction of Motion, Force, and Stiffness Using Spectro-Dynamic MRI.

Max H. C. van Riel, Tristan van Leeuwen, Cornelis A. T. van den Berg, Alessandro Sbrizzi

IEEE Trans. Computational Imaging, 2023

Generalizable synthetic MRI with physics-informed convolutional networks.

Luuk Jacobs, Stefano Mandija, Hongyan Liu, Cornelis A. T. van den Berg, Alessandro Sbrizzi, Matteo Maspero

CoRR, 2023

2022

Acceleration Strategies for MR-STAT: Achieving High-Resolution Reconstructions on a Desktop PC Within 3 Minutes.

Hongyan Liu, Oscar van der Heide, Stefano Mandija, Cornelis A. T. van den Berg, Alessandro Sbrizzi

IEEE Trans. Medical Imaging, 2022

Real-Time Non-Rigid 3D Respiratory Motion Estimation for MR-Guided Radiotherapy Using MR-MOTUS.

Niek R. F. Huttinga, Tom Bruijnen, Cornelis A. T. van den Berg, Alessandro Sbrizzi

IEEE Trans. Medical Imaging, 2022

Joint Retrospective Motion Correction and Reconstruction for Brain MRI With a Reference Contrast.

Gabrio Rizzuti, Alessandro Sbrizzi, Tristan van Leeuwen

IEEE Trans. Computational Imaging, 2022

⊥-loss: A symmetric loss function for magnetic resonance imaging reconstruction and image registration with deep learning.

Maarten L. Terpstra, Matteo Maspero, Alessandro Sbrizzi, Cornelis A. T. van den Berg

Medical Image Anal., 2022

Spectro-Dynamic MRI: Characterizing Mechanical Systems on a Millisecond Scale.

Max H. C. van Riel, Niek R. F. Huttinga, Alessandro Sbrizzi

IEEE Access, 2022

2020

Accelerated MR-STAT Reconstructions Using Sparse Hessian Approximations.

Oscar van der Heide, Alessandro Sbrizzi, Cornelis A. T. van den Berg

IEEE Trans. Medical Imaging, 2020

2019

Understanding the Combined Effect of k-Space Undersampling and Transient States Excitation in MR Fingerprinting Reconstructions.

Christiaan C. Stolk, Alessandro Sbrizzi

IEEE Trans. Medical Imaging, 2019

2013

Concerto per MRI: A Mathematical Orchestration of RF Fields for pTx Systems.

Alessandro Sbrizzi

PhD thesis, 2013