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• Journal article
  Zhu J, Liao Y, Chen Y, Gao F, Li R, Yang G, Lai X, Chen Jet al., 2025,

  Multimodal MRI-Based Glioma Segmentation and MGMT Promoter Methylation Status Prediction Using Multitask Learning Architecture

  , INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Vol: 35, ISSN: 0899-9457
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• Journal article
  Zahid U, Osugo M, Selvaggi P, Lythgoe DJ, Fortunato C, Diederen K, Kiemes A, Wall MB, Whitehurst T, Onwordi EC, Statton B, Berry A, Dimitrov M, Lau R, McCutcheon RA, Murray R, Marques TR, Mehta MA, Howes ODet al., 2025,

  The effects of dopamine receptor antagonist and partial agonist antipsychotics on the glutamatergic system: double-blind, randomised, placebo-controlled <SUP>1</SUP>H-MRS cross-over study in healthy volunteers

  , BRITISH JOURNAL OF PSYCHIATRY, ISSN: 0007-1250
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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
  Selvaggi P, Osugo M, Zahid U, Dipasquale O, Whitehurst T, Onwordi E, Chapman G, Finelli V, Statton B, Wood TC, Wall MB, Murray R, Mehta MA, Marques TR, Howes ODet al., 2025,

  Antipsychotics cause reversible structural brain changes within one week

  , NEUROPSYCHOPHARMACOLOGY, Vol: 50, Pages: 1275-1283, ISSN: 0893-133X
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  • Citations: 1
• 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, 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 three years before referral for diagnosis. Thus, there is a great need to develop noninvasive 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 scanscrucially, 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 R 2 = 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. Conclusions: 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
  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

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