Author

Iulius Dragonu

Siemens (United Kingdom)

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Approach:experimental assay· 2 Assay:imaging· 2 Research Focus:database / resource· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Approach:simulation· 1 Approach:variational autoencoder· 1

Frequent Co-Authors

Hao LiiD· 2 shared Mark ChiewiD· 2 shared Peter JezzardiD· 2 shared Thomas W. OkelliD· 2 shared Alessandro DaducciiD· 1 shared Belinda DingiD· 1 shared Chris RordeniD· 1 shared Christopher T. RodgersiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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2 shared papersNeuroscience

Hao LiORCID

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Author profile →

4 papers

Recent·Most cited

From 3D Time-of-Flight Angiography to Accelerated 4D Arterial Spin Labeling Angiography: A Fast Few-Shot Transfer Learning Approach

Hao Li, Iulius Dragonu, Peter Jezzard, Thomas W. Okell, Mark Chiew

This paper develops a fast few-shot transfer learning approach for reconstructing highly accelerated 4D arterial spin labeling angiography using simulated data and minimal experimental data.

bioRxiv · May 20, 2026 · PreprintNeuroscience

Few-shot learning for highly accelerated 3D time-of-flight MRA reconstruction

Hao Li, Mark Chiew, Iulius Dragonu, Peter Jezzard, Thomas W. Okell

This paper develops a few-shot learning method for 3D TOF-MRA reconstruction, achieving high-quality results with minimal experimental data and outperforming existing methods.

Magnetic Resonance in Medicine · Sep 10, 2025Peer-reviewedNeuroscience

Dynamic parallel transmit diffusion MRI at 7T

Minghao Zhang, Belinda Ding, Iulius Dragonu, Patrick Alexander Liebig, Christopher T. Rodgers

This paper applies dynamic parallel transmit (pTx) to improve whole-brain 7T diffusion MRI by reducing signal dropout and increasing SNR and diffusion fitting accuracy.

Magnetic Resonance Imaging · Mar 26, 2024Peer-reviewedNeuroscience

Image Processing and Quality Control for the first 10,000 Brain Imaging Datasets from UK Biobank

Fidel Alfaro‐Almagro, Mark Jenkinson, Neal K. Bangerter, Jesper Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N. Sotiropoulos, Saâd Jbabdi, Moisés Hernández-Fernández, Emmanuel Vallée, Diego Vidaurre, Matthew Webster, Paul McCarthy, Chris Rorden, Alessandro Daducci, , Stephen M. Smith

The paper describes an automated processing and quality control pipeline for brain imaging data from the first 10,000 UK Biobank participants.

NeuroImage · Oct 24, 2017Peer-reviewedNeuroscience