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• Journal article
  Wang Z, Yu X, Wang C, Chen W, Wang J, Chu Y-H, Sun H, Li R, Li P, Yang F, Han H, Kang T, Lin J, Yang C, Chang S, Shi Z, Hua S, Li Y, Hu J, Zhu L, Zhou J, Lin M, Guo J, Cai C, Chen Z, Guo D, Yang G, Qu Xet al., 2025,

  One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction

  , MEDICAL IMAGE ANALYSIS, Vol: 103, ISSN: 1361-8415
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  • Citations: 1
• Journal article
  Ning J, Marshall D, Gao Y, Xing X, Nan Y, Fang Y, Zhang S, Komorowski M, Yang Get al., 2025,

  Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment

  , PATTERN RECOGNITION LETTERS, Vol: 193, Pages: 21-28, ISSN: 0167-8655
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• Journal article
  Jiang C, Xing X, Nan Y, Fang Y, Zhang S, Walsh S, Yang G, Shen Det al., 2025,

  A lung structure and function information-guided residual diffusion model for predicting idiopathic pulmonary fibrosis progression

  , MEDICAL IMAGE ANALYSIS, Vol: 103, ISSN: 1361-8415
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• Journal article
  Armour C, Gopalan D, Statton B, O'Regan D, Howard L, Wilkins M, Xu X, Lawrie Aet al., 2025,

  Patient-specific modelling of pulmonary arterial hypertension: wall shear stress correlates with disease severity

  , Frontiers in Bioengineering and Biotechnology, Vol: 13, ISSN: 2296-4185

  Introduction: Pulmonary arterial hypertension (PAH) requires an invasive right heart catheter (RHC) procedure for diagnosis. Patients can present with initial symptoms and interact with healthcare institutes for up to 3 years before referral for diagnosis. Thus, there is a great need to develop non-invasive tools, to better screen patients and improve early diagnosis rates.Methods: seven patients diagnosed and treated for PAH were included in this study. Patient-specific computational fluid dynamics (CFD) models were built for all patients, with all model parameters tuned using non-invasive imaging data, including CT, cardiac MR, echocardiogram, and 4D-flow MRI scans–crucially, a 3D inlet velocity profile was derived from 4D-flow MRI.Results: CFD models were quantitatively and qualitatively well matched with in-vivo 4D-flow hemodynamics. A linear correlation of R2 = 0.84 was found between CFD derived time-averaged wall shear stress (TAWSS) and RHC measured mean pulmonary pressure (key diagnostic value): low TAWSS correlated with high pressure.Conclusion: This study highlights TAWSS as a potential computational biomarker for PAH. The clinical use of TAWSS to diagnose and stratify PAH patients has the potential to greatly improve patient outcomes. Further work is ongoing to validate these findings in larger cohorts.

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• Journal article
  Su Y, Gao L, Plaza A, Sun X, Jiang M, Yang Get al., 2025,

  SRViT: Self-Supervised Relation-Aware Vision Transformer for Hyperspectral Unmixing

  , IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, ISSN: 2162-237X
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  • Citations: 5
• Journal article
  Schweitzer R, de Marvao A, Shah M, Inglese P, Kellman P, Berry A, Statton B, O'Regan Det al., 2025,

  Establishing cardiac MRI reference ranges stratified by sex and age for cardiovascular function during exercise

  , Radiology: Cardiothoracic Imaging, Vol: 7, ISSN: 2638-6135

  PurposeTo evaluate the effects of exercise on left ventricular parameters using exercise cardiac MRI in healthy adults without known cardiovascular disease and establish reference ranges stratified by age and sex.Materials and MethodsThis prospective study included healthy adult participants with no known cardiovascular disease or genetic variants associated with cardiomyopathy, enrolled between January 2018 and April 2021, who underwent exercise cardiac MRI evaluation. Participants were imaged at rest and after exercise, and parameters were measured by two readers. Prediction intervals were calculated and compared across sex and age groups.ResultsThe study included 161 participants (mean age, 49 years ± 14 [SD]; 85 female). Compared with the resting state, exercise caused an increase in heart rate (64 beats per minute ± 9 vs 133 beats per minute ± 19, P < .001), left ventricular end-diastolic volume (140 mL ± 32 vs 148 mL ± 35, P < .001), stroke volume (82 mL ± 18 vs 102 mL ± 25, P < .001), ejection fraction (59% ± 6 vs 69% ± 7, P < .001), and cardiac output (5.2 L/min ± 1.1 vs 13.5 L/min ± 3.9, P < .001) and a decrease in left ventricular end-systolic volume (58 mL ± 18 vs 46 mL ± 15, P < .001). There were statistically significant differences in exercise response between groups stratified by sex and age for most parameters.ConclusionIn healthy adults, an increase in cardiac output after exercise was driven by an increase in heart rate with both increased ventricular filling and emptying. Normal ranges for exercise response, stratified by age and sex, were established as a reference for the use of exercise cardiac MRI in clinical practice.

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• Journal article
  Yang G, Zhang J, Papanastasiou G, Wang G, Tao Det al., 2025,

  Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI

  , IEEE TRANSACTIONS ON BIG DATA, Vol: 11, Pages: 896-897, ISSN: 2332-7790
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• Journal article
  Inglese M, Conti A, Toschi N, 2025,

  Radiomics across modalities: a comprehensive review of neurodegenerative diseases

  , CLINICAL RADIOLOGY, Vol: 85, ISSN: 0009-9260
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  • Citations: 2
• Journal article
  Yang L, Huang J, Yang G, Zhang Det al., 2025,

  CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction Across Various Sampling Rates

  , IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol: 44, Pages: 2581-2593, ISSN: 0278-0062
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  • Citations: 1
• Journal article
  Munoz C, Lim E, Ferreira PF, Pennell DJ, Nielles-Vallespin S, Scott ADet al., 2025,

  Simultaneous non-contrast assessment of cardiac microstructure and perfusion in vivo in the human heart

  , Journal of Cardiovascular Magnetic Resonance, Vol: 27, ISSN: 1097-6647

  BackgroundIntravoxel incoherent motion (IVIM) imaging can provide information on cardiac microstructure and microvascular perfusion from a single examination. However, the spin-echo based approaches typically used for cardiac IVIM suffer from low sensitivity to changes in perfusion.ObjectivesTo develop a stimulated-echo (STEAM)-based method for IVIM and diffusion tensor cardiovascular magnetic resonance to simultaneously provide biomarkers of microstructure and perfusion in vivo in the human heart.MethodsHere we introduce a novel STEAM-IVIM sequence incorporating phase cycling to obtain true non-diffusion weighted images (b=0 s/mm2). STEAM-IVIM imaging was performed at 20 b-values (0 to 1000 s/mm2) to enable accurate estimation of the IVIM parameters, and with six diffusion encoding directions to enable reconstruction of the diffusion tensor. 20 healthy subjects (8 female, median age 31 years) were imaged on a clinical 3 T system with STEAM-IVIM. A simulation study was performed to investigate the optimal fitting algorithms for the IVIM parameters, which was subsequently used to create pixel-wise IVIM parameter maps for the in vivo acquisitions.ResultsGood image quality across the myocardium was obtained for all b-values. Mean(±SD) IVIM parameter estimates were: diffusivity D=0.83±0.07×10-3 mm2/s, perfusion coefficient D*=19.08±6.48×10-3 mm2/s, perfusion fraction f=19.72±4.11%, and mean diffusion tensor parameters were: mean diffusivity=0.88±0.06×10-3 mm2/s, fractional anisotropy=0.45±0.04, absolute E2 angle=55.29±6.38º, helix angle gradient=-0.68±0.18º/%.ConclusionPhase-cycled STEAM-IVIM enables fitting of cardiac diffusion tensor and perfusion parameters in healthy subjects and shows promise for the simultaneous detection of microstructural aberration and perfusion abnormalities in the presence of cardiac disease without the need for exogenous contrast agents.

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