Matteo Figini

According to our database, Matteo Figini authored at least 14 papers between 2014 and 2026.

Collaborative distances:

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

2026

Bayesian Uncertainty-Aware MRI Reconstruction.

Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander

CoRR, March, 2026

MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction.

Seunghoi Kim, Chen Jin, Henry F. J. Tregidgo, Matteo Figini, Daniel C. Alexander

CoRR, March, 2026

2025

HalluGen: Synthesizing Realistic and Controllable Hallucinations for Evaluating Image Restoration.

Seunghoi Kim, Henry F. J. Tregidgo, Chen Jin, Matteo Figini, Daniel C. Alexander

CoRR, December, 2025

Tackling Hallucination from Conditional Models for Medical Image Reconstruction with DynamicDPS.

Seunghoi Kim, Henry F. J. Tregidgo, Matteo Figini, Chen Jin, Sarang Joshi, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

2024

Alternative Learning Paradigms for Image Quality Transfer.

Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander

CoRR, 2024

Image Quality Transfer of Diffusion MRI Guided By High-Resolution Structural MRI.

Alp G. Cicimen, Henry F. J. Tregidgo, Matteo Figini, Eirini Messaritaki, Carolyn B. McNabb, Marco Palombo, C. John Evans, Mara Cercignani, Derek K. Jones, Daniel C. Alexander

Proceedings of the Computational Diffusion MRI - 15th International Workshop, 2024

Tackling Structural Hallucination in Image Translation with Local Diffusion.

Seunghoi Kim, Chen Jin, Tom Diethe, Matteo Figini, Henry F. J. Tregidgo, Asher Mullokandov, Philip Teare, Daniel C. Alexander

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Low-field magnetic resonance image enhancement via stochastic image quality transfer.

Hongxiang Lin, Matteo Figini, Felice D'Arco, Godwin Ogbole, Ryutaro Tanno, Stefano B. Blumberg, Lisa Ronan, Biobele J. Brown, David W. Carmichael, Ikeoluwa Lagunju, Judith Helen Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander

Medical Image Anal., 2023

A 3D Conditional Diffusion Model for Image Quality Transfer - An Application to Low-Field MRI.

Seunghoi Kim, Henry F. J. Tregidgo, Ahmed Karam Eldaly, Matteo Figini, Daniel C. Alexander

CoRR, 2023

2022

Deformably-Scaled Transposed Convolution.

Stefano B. Blumberg, Daniele Ravì, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander

CoRR, 2022

Progressive Subsampling for Oversampled Data - Application to Quantitative MRI.

Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients.

Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D'Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander

CoRR, 2020

2019

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator.

Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2014

Model-based analysis of diffusion Magnetic Resonance: study of microstructural damage in white matter and gray matter diseases.

Matteo Figini

PhD thesis, 2014