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  1. 1761
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    The clinico-radiological paradox of cognitive function and MRI burden of white matter lesions in people with multiple sclerosis: A systematic review and meta-analysis. by Daisy Mollison, Robin Sellar, Mark Bastin, Denis Mollison, Siddharthan Chandran, Joanna Wardlaw, Peter Connick

    Published 2017-01-01
    “…Wide methodological variability was seen, particularly related to key factors in the cognitive data capture and image analysis techniques.<h4>Conclusions</h4>Resolving the persistent clinico-radiological paradox will likely require simultaneous evaluation of multiple components of the complex pathology using optimum measurement techniques for both cognitive and MRI feature quantification. …”
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  3. 1763

    Application of Digital Core Analysis Technology to Study Filtration-Capacity Properties and Structure of Highly Permeable Rocks of Underground Gas Storage Facilities by Khimulia Valerii

    Published 2024-12-01
    “…The paper presents the results of pore space studies of highly porous reservoir rocks of underground gas storage (UGS) facilities using the digital analysis of computed microtomography images. The methodology of complex nondestructive analysis of structural and filtration-capacitance properties has been developed. …”
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    Excessive Fe Contamination in Secondary Al Alloys: Microstructure, Porosity, and Corrosion Behaviour by Helder Nunes, Rui Madureira, Manuel F. Vieira, Ana Reis, Omid Emadinia

    Published 2025-04-01
    “….% Fe, employing thermodynamic simulations, hardness testing, quantitative image analysis, and corrosion tests. Among these alloys, the AlSi7Mg0.3-3.8Fe, containing the highest level of contamination, exhibited the most complex microstructure. …”
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    Article
  7. 1767

    Multitask semantic change detection guided by spatiotemporal semantic interaction by Yinqing Wang, Liangjun Zhao, Yueming Hu, Hui Dai, Yuanyang Zhang

    Published 2025-05-01
    “…Abstract Semantic Change Detection (SCD) aims to accurately identify the change areas and their categories in dual-time images, which is more complex and challenging than traditional binary change detection tasks. …”
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    Bile ducts injury during laparoscopic cholecystectomy: current state of the problem by A. V. Vlasov, A. V. Panyushkin, I. M. Zhidkov, D. G. Baranova

    Published 2024-11-01
    “…The variant anatomy of vessels, bile ducts and important anatomical landmarks during the operation are described. During «complex cholecystectomy», «rescue strategies» are proposed and modern imaging techniques are reviewed. …”
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  11. 1771

    Multi-strategy collaborative optimization of gravitational search algorithm by Zhonghua Yang, Yuanli Cai, Ge Li, Peng Wang, Yu Chen

    Published 2025-08-01
    “…An effectiveness analysis and algorithm comparison tests were carried out on 24 typical complex benchmark functions. …”
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  12. 1772

    The diagnostic utility of magnetic resonance neurography in diagnosis of plexus and peripheral neuropathies compared to electroneurophysiological studies by Mona Elkalioubie, Habeba Mostafa Ahmed, Wessam El Zayat, Kholoud Soliman, Aliaa Hussein, Dina H. Gamal El-Din

    Published 2025-08-01
    “…Moreover, MRN is instrumental in detecting early structural changes, aiding in preoperative planning, and improving diagnostic confidence in complex neuropathies.…”
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  13. 1773

    Resting‐State Functional Connectivity of Sensorimotor and Default Mode Networks and Lower Limb Performance in Chronic Stroke: A Cross‐Sectional Study by Svetlana Pundik, Margaret M. Skelly, Jessica P. McCabe, Ahlam I. Salameh, Trenley Anderson, Kelsey Rose Duncan, Terri Hisel, Sarah J. A. Carr

    Published 2025-05-01
    “…Non‐homologous interhemispheric ROI‐to‐ROI connectivity was featured in the analysis. Graph theory analysis demonstrates the complex role that an individual ROI has in relation to sensorimotor function of lower extremity. …”
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  14. 1774

    Classification of neurodegenerative diseases using brain effective connectivity and machine learning techniques: a systematic review by Ying-Fang Wang, Yuan Huang, Xiao-Yi Chang, Si-Ying Guo, Yu-Qi Chen, Ming-Zhu Wang, Kai-Le Liu, Fang-Fang Huang

    Published 2025-05-01
    “…In the field of artificial intelligence, machine learning has demonstrated remarkable proficiency in image recognition and the complex dataset analysis. …”
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  15. 1775

    A Review of Advanced Deep Learning Methods of Multi-Target Segmentation for Breast Cancer WSIs by Qiaoyi Xu, Afzan Adam, Azizi Abdullah, Nurkhairul Bariyah

    Published 2025-01-01
    “…However, manually reviewing whole slide images (WSIs) for tissue segmentation is time-consuming and prone to errors, highlighting the need for multi-target deep learning models to automate the segmentation of these complex structures. …”
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    TSFANet: Trans-Mamba Hybrid Network with Semantic Feature Alignment for Remote Sensing Salient Object Detection by Jiayuan Li, Zhen Wang, Nan Xu, Chuanlei Zhang

    Published 2025-05-01
    “…Recent advances in deep learning have witnessed the wide application of convolutional neural networks (CNNs), Transformer models, and Mamba models in optical remote sensing image (ORSI) analysis, particularly for salient object detection (SOD) tasks in disaster warning, urban planning, and military surveillance. …”
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  18. 1778

    Spatial metabolomics in mental disorders and traditional Chinese medicine: a review by Chaofang Lei, Jiaxu Chen, Zhigang Chen, Chongyang Ma, Xudong Chen, Xiongxing Sun, Xukun Tang, Jun Deng, Shiliang Wang, Junlin Jiang, Dahua Wu, Le Xie

    Published 2025-01-01
    “…Spatial metabolomics is an emerging technology that integrates mass spectrometry imaging (MSI) with metabolomics, offering a novel visual perspective for traditional metabolomics analysis. …”
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  19. 1779

    Atrial remodelling and dysfunction in hypertrophic cardiomyopathy: prognostic role and therapeutic target by Chiara Piazzai, Alessio Petrone, Andrea Stefanini, Flavio D’Ascenzi, Iacopo Olivotto, Iacopo Olivotto, Matteo Cameli

    Published 2025-07-01
    “…Recent studies have highlighted that left atrial (LA) remodelling—including dilation, fibrosis, and functional impairment—plays a key role in disease progression and prognosis, notably increasing the risk of atrial fibrillation (AF) and stroke.Material and methodsThis review article systematically examines published clinical, imaging, and interventional studies. The analysis focuses on identifying the determinants of atrial myopathy, its relationship with diastolic dysfunction and left ventricular outflow tract obstruction (LVOTO), and the effects of therapeutic interventions such as septal reduction therapy and cardiac myosin inhibitors.ResultsThe findings reveal that LA remodelling in HCM is characterized by increased LA volume, reduced atrial strain, and prolonged conduction times—all of which are strongly linked to the onset and recurrence of AF. …”
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