User profiles for Niccolo Fuin

Niccolo Fuin

Research Associate, King's College London
Verified email at kcl.ac.uk
Cited by 665

[HTML][HTML] From compressed-sensing to artificial intelligence-based cardiac MRI reconstruction

A Bustin, N Fuin, RM Botnar, C Prieto - Frontiers in cardiovascular …, 2020 - frontiersin.org
Cardiac magnetic resonance (CMR) imaging is an important tool for the non-invasive
assessment of cardiovascular disease. However, CMR suffers from long acquisition times due to …

[HTML][HTML] CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions

T Küstner, N Fuin, K Hammernik, A Bustin, H Qi… - Scientific reports, 2020 - nature.com
Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of
cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular (LV) …

Deep‐learning based super‐resolution for 3D isotropic coronary MR angiography in less than a minute

…, C Munoz, A Psenicny, A Bustin, N Fuin… - Magnetic …, 2021 - Wiley Online Library
Purpose To develop and evaluate a novel and generalizable super‐resolution (SR) deep‐learning
framework for motion‐compensated isotropic 3D coronary MR angiography (CMRA), …

Non-rigid respiratory motion estimation of whole-heart coronary MR images using unsupervised deep learning

H Qi, N Fuin, G Cruz, J Pan, T Kuestner… - … on Medical Imaging, 2020 - ieeexplore.ieee.org
Non-rigid motion-corrected reconstruction has been proposed to account for the complex
motion of the heart in free-breathing 3D coronary magnetic resonance angiography (CMRA). …

[HTML][HTML] Staging performance of whole-body DWI, PET/CT and PET/MRI in invasive ductal carcinoma of the breast

…, A Soricelli, M Salvatore, N Fuin… - International …, 2017 - spandidos-publications.com
The aim of the present study was to evaluate the performance of whole-body diffusion-weighted
imaging (WB-DWI), whole-body positron emission tomography with computed …

A multi-scale variational neural network for accelerating motion-compensated whole-heart 3D coronary MR angiography

N Fuin, A Bustin, T Küstner, I Oksuz, J Clough… - Magnetic resonance …, 2020 - Elsevier
Purpose To enable fast reconstruction of undersampled motion-compensated whole-heart
3D coronary magnetic resonance angiography (CMRA) by learning a multi-scale variational …

Concurrent respiratory motion correction of abdominal PET and dynamic contrast-enhanced–MRI using a compressed sensing approach

N Fuin, OA Catalano, M Scipioni… - Journal of Nuclear …, 2018 - Soc Nuclear Med
We present an approach for concurrent reconstruction of respiratory motion–compensated
abdominal dynamic contrast-enhanced (DCE)–MRI and PET data in an integrated PET/MR …

PET/MRI in the presence of metal implants: completion of the attenuation map from PET emission data

N Fuin, S Pedemonte, OA Catalano… - Journal of Nuclear …, 2017 - Soc Nuclear Med
We present a novel technique for accurate whole-body attenuation correction in the presence
of metallic endoprosthesis, on integrated non–time-of-flight (non-TOF) PET/MRI scanners. …

Comparison of the clinical performance of upper abdominal PET/DCE-MRI with and without concurrent respiratory motion correction (MoCo)

OA Catalano, L Umutlu, N Fuin, ML Hibert… - European Journal of …, 2018 - Springer
Purpose To compare the clinical performance of upper abdominal PET/DCE-MRI with and
without concurrent respiratory motion correction (MoCo). Methods MoCo PET/DCE-MRI of the …

[HTML][HTML] Accelerating 3D MTC-BOOST in patients with congenital heart disease using a joint multi-scale variational neural network reconstruction

A Fotaki, N Fuin, G Nordio, CV Jimeno, H Qi… - Magnetic Resonance …, 2022 - Elsevier
Purpose Free-breathing Magnetization Transfer Contrast Bright blOOd phase SensiTive (MTC-BOOST)
is a prototype balanced-Steady-State Free Precession sequence for 3D whole-…