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• Journal article
  Wang Z, Xiao M, Zhou Y, Wang C, Wu N, Li Y, Gong Y, Chang S, Chen Y, Zhu L, Zhou J, Cai C, Wang H, Jiang X, Guo D, Yang G, Qu Xet al., 2025,

  Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI

  , IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, Vol: 72, Pages: 3642-3654, ISSN: 0018-9294
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  • Citations: 4
• Journal article
  Wang H, Chen Y, Chen W, Xu H, Zhao H, Sheng B, Fu H, Yang G, Zhu Let al., 2025,

  Serp-Mamba: Advancing High-Resolution Retinal Vessel Segmentation With Selective State-Space Model.

  , IEEE Trans Med Imaging, Vol: 44, Pages: 4811-4825

  Ultra-Wide-Field Scanning Laser Ophthalmoscopy (UWF-SLO) images capture high-resolution views of the retina with typically spanning 200 degrees. Accurate segmentation of vessels in UWF-SLO images is essential for detecting and diagnosing fundus disease. Recent studies highlight that Mamba's selective State Space Model (SSM) excels in modeling long-range dependencies with linear computational complexity, making it highly suitable for preserving the continuity of elongated vessel structures, especially for high-resolution UWF images. Inspired by this, we propose the Serpentine Mamba (Serp-Mamba) network to address this challenging task. Specifically, we recognize the intricate, varied, and delicate nature of the tubular structure of vessels. Furthermore, the high-resolution of UWF-SLO images exacerbates the imbalance between the vessel and background categories. Based on the above observations, we first devise a Serpentine Interwoven Adaptive (SIA) scan mechanism, which scans UWF-SLO images along curved vessel structures in a snake-like crawling manner. This approach, consistent with vascular texture transformations, ensures the effective and continuous capture of curved vascular structure features. Second, we propose an Ambiguity-Driven Dual Recalibration (ADDR) module to address the category imbalance problem intensified by high-resolution images. Our ADDR module delineates pixels by two learnable thresholds and refines ambiguous pixels through a dual-driven strategy, thereby accurately distinguishing vessels and background regions. Experiment results on three datasets demonstrate the superior performance of our Serp-Mamba on high-resolution vessel segmentation. We also conduct a series of ablation studies to verify the impact of our designs. Our code will be released upon publication (https://github.com/whq-xxh/Serp-Mamba).

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• Journal article
  Halliday BP, Owen R, Ragavan A, Smith KL, Statton B, Berry A, Kasiakogias A, Tsoumani Z, Shanmuganathan M, Dungu JN, De Marvao A, Tayal U, Ware JS, O'regan DP, Pennell DJ, Cleland JGF, Prasad SK, Gregson J, Murphy MP, Rider OJ, Valkovic Let al., 2025,

  A double-blind, randomized placebo-controlled trial examining the effect of MitoQ on myocardial energetics in patients with dilated cardiomyopathy

  , EUROPEAN HEART JOURNAL-CARDIOVASCULAR IMAGING, ISSN: 2047-2404
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• Journal article
  Connor S, Lally P, Pai I, Brnawi H, Touska P, Ourselin S, Hajnal JVet al., 2025,

  7-Tesla sodium magnetic resonance imaging of the inner ears in unilateral Ménière’s disease and endolymphatic hydrops: an exploratory study

  , BMC Medical Imaging, Vol: 25, ISSN: 1471-2342

  BackgroundWhilst delayed post-gadolinium MRI has led to a shift in the diagnostic paradigm of Meniere’s Disease (MD), there remains a strong desire to develop a non-contrast enhanced MRI technique to detect and monitor MD. The endolymphatic space (ES) undergoes hydropic expansion in Ménière’s Disease (MD) and the concentration of sodium ions in the endolymph is at least 10 times lower than that in the perilymph. It was hypothesised that the lower sodium (23Na) concentration in the endolymph relative to the surrounding perilymph would result in a differential reduction in 23Na-MRI signal in inner ears with endolymphatic hydrops (EH). This proof of principle study explored the feasibility of 7-Tesla (7T) 23Na-MRI to lateralise EH ears in unilateral MD.MethodsIn this prospective study, 7T 23Na-MRI was performed in participants with both unilateral definite MD and severe vestibulo-cochlear EH on a delayed post-gadolinium real inversion recovery sequence. Two blinded independent observers qualitatively graded the visibility and anatomical compatibility of inner ear 23Na MRI signal intensity (NaSI), before and after registering to 3D T2-weighted (T2w) MRI and determined the certainty of EH laterality. The internal auditory meatus (IAM), cochlea and vestibule were segmented using 3D Slicer and NaSI was quantified. Inner ear median NaSI were scaled to the adjacent IAM median NaSI and compared between the two ears.ResultsIn 4 unilateral MD participants (mean age 60.3 years, 2 men), both observers correctly predicted EH laterality in 1/4 before and 3/4 participants after fusion to 3D T2w MRI. There was no incorrect lateralisation of EH by either observer, either before or after registration and fusion. In the 3 participants correctly lateralised, quantitative analysis revealed the median inner ear NaSI scaled to the ipsilateral IAM was 1.2–2.8 times higher in the normal cochlea and 1.9–2.9 times higher in the vestibule, compared to

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• Journal article
  Ai R, Mao L, Jin X, Campos-Marques C, Zhang S-Q, Pan J, Lagartos-Donate MJ, Cao S-Q, Barros-Santos B, Nobrega-Martins R, Katsaitis F, Yang G, Xie C, Kang X, Wang P, Novello M, Hu Y, Bergersen LH, Storm-Mathisen J, Kuroyanagi H, Escobar-Doncel B, Gonzalez NV, Chaudhry FA, Wang Z, Zhang Q, Lu G, Sotiropoulos I, Niu Z, Chen G, Nair RR, Silva JM, Luo OJ, Fang EFet al., 2025,

  NAD<SUP>+</SUP> reverses Alzheimer's neurological deficits via regulating differential alternative RNA splicing of <i>EVA1C</i>

  , SCIENCE ADVANCES, Vol: 11
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• Journal article
  Wang J, Ruan D, Li Y, Tan T, Wu L, Yang G, Jiang Met al., 2025,

  Dynamic mask stitching-guided region consistency for semi-supervised 3D medical image segmentation

  , EXPERT SYSTEMS WITH APPLICATIONS, Vol: 292, ISSN: 0957-4174
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• Journal article
  Fang EF, Fang Y, Chen G, Wang H-L, Zhang J, Wu C, Liao J, Xie C, Liu X, Wang K, Liu Y, Yang G, Wang Q, He L-T, Li J, Chen H-Z, Kang L, Jiang Y, Su H, Jiang H, He N, Tao J, Leng SX, Siow RC, Liu C, Khan HTA, Liu Y, Kato H, Sasaki T, Kim JI, Maier AB, Zhang L, Rasmussen LJ, Woo J, Wu J, Zou Het al., 2025,

  Adapting health, economic and social policies to address population aging in China

  , NATURE AGING, Vol: 5, Pages: 2176-2187
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• Journal article
  Pan Q, Li Z, Qiao W, Lou J, Yang Q, Yang G, Ji Bet al., 2025,

  AMVLM: Alignment-Multiplicity Aware Vision-Language Model for Semi-Supervised Medical Image Segmentation

  , IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol: 44, Pages: 4307-4322, ISSN: 0278-0062
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• Journal article
  Jin W, Wang J, Gao Y, Shi B, Wang N, Zhao B, Yang Get al., 2025,

  Self-Adaptive LLM Instructions Optimization for Aspect-Based Sentiment Analysis by Incorporating Emotion-Oriented In-Contexts

  , COMPUTATIONAL INTELLIGENCE, Vol: 41, ISSN: 0824-7935
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• Journal article
  Xie H, Zhao X, Zhang N, Liu J, Yang G, Cao Y, Xu J, Xu L, Sun Z, Wen Z, Chai S, Liu Det al., 2025,

  Machine learning-based hemodynamics quantitative assessment of pulmonary circulation using computed tomographic pulmonary angiography

  , INTERNATIONAL JOURNAL OF CARDIOLOGY, Vol: 437, ISSN: 0167-5273
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