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16461
Image navigator–based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis
Published 2024-01-01“…ABSTRACT: Background: Coronary computed tomography angiography (CCTA) is recommended as the first-line diagnostic imaging modality in low-to-intermediate-risk individuals suspected of stable coronary artery disease (CAD). …”
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16464
Perfusion‐Based Relative Cerebral Blood Volume Is Associated With Functional Dependence in Large‐Vessel Occlusion Ischemic Stroke
Published 2024-12-01“…Methods and Results In this retrospective evaluation of our prospectively collected database, inclusion criteria were (1) Computed tomographic angiography confirmed anterior circulation large‐vessel occlusion from September 1, 2017, to October 1, 2023; and (2) diagnostic computed tomography perfusion. …”
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16466
Identification of HMOX-1-Targeting Natural Compounds in <i>Camellia nitidissima</i> Chi for NSCLC Therapy: Integrating Bioassay and In Silico Screening Approaches
Published 2025-05-01“…This study aimed to construct an integrated research system of “natural product extraction-purification, bioactivity evaluation, and computational drug screening” to explore the bioactive compounds in <i>C. nitidissima</i> leaves targeting HMOX-1-mediated ferroptosis and their anti-lung cancer mechanisms. …”
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16467
The effectiveness of convalescent plasma administered on the first day of admission for COVID-19 patients: an open-label randomized controlled trial
Published 2025-01-01“…Overall, the treatment appears to have few side effects, suggesting it may be a safe option for further evaluation in managing early COVID-19 symptoms. Trial registration:. …”
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16468
Variation in Mesopic Retinal Sensitivity Relative to Distance from Geographic Atrophy in Age-Related Macular Degeneration
Published 2025-11-01“…This zone presents an important focus for closer evaluation in interventional studies examining potential efficacy for the preservation or recovery of retinal function. …”
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16469
Automatic delineation of cervical cancer target volumes in small samples based on multi-decoder and semi-supervised learning and clinical application
Published 2024-11-01“…In this study, we retrospectively collected computed tomography (CT) datasets from 71 pelvic cervical cancer patients, and a 3:4 ratio was used for the training and testing sets. …”
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16471
Effect of Platelet-rich Fibrin on Soft-tissue and Hard-tissue Healing following Surgical Extraction of Mandibular Third Molar: A Prospective Interventional Study
Published 2025-08-01“…Hard-tissue healing was evaluated using the Cone Beam Computed Tomography (CBCT) findings on the 1st month and 3rd month postoperatively. …”
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Does the Ischemic Core Really Matter? An Updated Systematic Review and Meta‐Analysis of Large Core Trials After TESLA, TENSION, and LASTE
Published 2024-07-01“…Methods We executed a systematic search to identify randomized controlled trials that compared EVT to medical management (MM) for the treatment of patients with acute ischemic stroke with large core, defined as Alberta Stroke Program Early CT [Computed Tomography] Score ≤5 on noncontrast CT and/or estimated ischemic core ≥50 mL on CT‐perfusion/MR diffusion. …”
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16473
Objective and subjective assessment of back shape and function in persons with and without low back pain
Published 2025-06-01“…In order to analyze how well self-reported impairment (SRI) corresponds with objective measures, we evaluated the association between SRI and objectively measured back shape and function. …”
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Dynamic soluble changes in sVEGFR1, HGF, and VEGF promote chemotherapy and bevacizumab resistance: A prospective translational study in the BECOX (GEMCAD 09-01) trial
Published 2017-05-01“…Response was evaluated by routine contrast-enhanced computed tomography by RECIST 1.1 by investigator assessment and by three blinded independent radiologists. …”
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16475
cigChannel: a large-scale 3D seismic dataset with labeled paleochannels for advancing deep learning in seismic interpretation
Published 2025-07-01“…Deep learning has shown great promise in automating seismic paleochannel interpretation with high efficiency and accuracy, as demonstrated in similar image segmentation tasks in computer vision (CV). Yet, unlike the CV domain, seismic exploration lacks a comprehensive labeled dataset for paleochannels, significantly hindering the development, application, and evaluation of deep learning methods in this field. …”
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