Ovidiu C. Andronesi

Orcid: 0000-0002-7412-0641

According to our database1, Ovidiu C. Andronesi authored at least 12 papers between 2014 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
HyperFitS - Hypernetwork Fitting Spectra for metabolic quantification of <sup>1</sup>H MR spectroscopic imaging.
CoRR, April, 2026

2025
Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging.
CoRR, December, 2025

Conditional Denoising Diffusion Model-Based Robust MR Image Reconstruction from Highly Undersampled Data.
CoRR, October, 2025

Missing Data Estimation for MR Spectroscopic Imaging via Mask-Free Deep Learning Methods.
CoRR, May, 2025

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging.
NeuroImage, 2025

Super-Resolution MR Spectroscopic Imaging via Diffusion Models for Tumor Metabolism Mapping.
J. Imaging Inform. Medicine, 2025

2024
WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging.
CoRR, 2024

A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2019
Whole-slice mapping of GABA and GABA<sup>+</sup> at 7T via adiabatic MEGA-editing, real-time instability correction, and concentric circle readout.
NeuroImage, 2019

2014
Real-time motion- and B<sub>0</sub>-correction for LASER-localized spiral-accelerated 3D-MRSI of the brain at 3 T.
NeuroImage, 2014

3D GABA imaging with real-time motion correction, shim update and reacquisition of adiabatic spiral MRSI.
NeuroImage, 2014

Whole brain mapping of water pools and molecular dynamics with rotating frame MR relaxation using gradient modulated low-power adiabatic pulses.
NeuroImage, 2014


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