Stefano Mandija

According to our database, Stefano Mandija authored at least 5 papers between 2018 and 2026.

Collaborative distances:

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

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

A joint three-plane physics-constrained deep learning based polynomial fitting approach for MR electrical properties tomography.

Kyu-Jin Jung, Thierry G. Meerbothe, Chuanjiang Cui, Mina Park, Cornelis A. T. van den Berg, Stefano Mandija, Dong-Hyun Kim

NeuroImage, 2025

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

2018

First-Order Induced Current Density Imaging and Electrical Properties Tomography in MRI.

Patrick S. Fuchs, Stefano Mandija, Peter R. S. Stijnman, Wyger Brink, Cornelis A. T. van den Berg, Robert F. Remis

IEEE Trans. Computational Imaging, 2018