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Showing 3,081 - 3,100 results of 32,195 for search '(equalization OR visualization) method', query time: 0.21s Refine Results
  1. 3081
  2. 3082

    Fusion of 3D photorealistic lateral-to-medial brain white matter dissection and diffusion tensor imaging for dynamic visualization of key fiber tracts by Daniele Armocida, Toma Spiriev, Milko Milev, Francesco Carbone, Michael Wolf-Vollenbröker, Michael Sabel, Marion Rapp, Jan Frederick Cornelius

    Published 2025-01-01
    “…Integrating traditional anatomical dissection with advanced imaging methods like diffusion tensor imaging (DTI) and 3D-photographic surface scanning (photogrammetry) provides detailed visualization of white matter (WM) pathways. …”
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  3. 3083

    转基因作物多重重组酶聚合酶扩增结合CRISPR/Cas12a现场可视化检测方法的建立(英文)(Establishment of a field visualization detection method for multiplex recombinase polymerase amplification combined with CRISPR/Cas12a in genetically modified crops) by 颜晶莹(YAN Jingying), 倪亮(NI Liang), 沈星宇(SHEN Xingyu), 吕秉韬(LÜ Bingtao), 李玉(LI Yu)

    Published 2025-06-01
    “…Compared with other polymerase chain reaction (PCR) techniques, it also has the advantages of low equipment requirements and visualization, making it a potentially feasible method for the field detection of GM plants.…”
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  4. 3084

    Video temporal perception characteristics based just noticeable difference model by Yafen1 XING, Haibing YIN, Hongkui WANG, Qionghua LUO

    Published 2022-02-01
    “…The existing temporal domain JND(just noticeable distortion) models are not sufficient to depict the interaction between temporal parameters and HVS characteristics, leading to insufficient accuracy of the spatial-temporal JND model.To solve this problem, feature parameters that can accurately describe the temporal characteristics of the video were explored and extracted, as well as a homogenization method for fusing heterogeneous feature parameters, and the temporal domain JND model based on this was improved.The feature parameters were investigated including foreground and background motion, temporal duration along the motion trajectory, residual fluctuation intensity along motion trajectory and adjacent inter-frame prediction residual, etc., which were used to characterize the temporal characteristics.Probability density functions for these feature parameters in the perception sense according to the HVS(human visual system) characteristics were proposed, and uniformly mapping the heterogeneous feature parameters to the scales of self-information and information entropy to achieve a homogeneous fusion measurement.The coupling method of visual attention and masking was explored from the perspective of energy distribution, and the temporal-domain JND weight model was constructed accordingly.On the basis of the spatial JND threshold, the temporal domain weights was integrated to develop a more accurate spatial-temporal JND model.In order to evaluate the performance of the spatiotemporal JND model, a subjective quality evaluation experiment was conducted.Experimental results justify the effectiveness of the proposed model.…”
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  5. 3085

    Video temporal perception characteristics based just noticeable difference model by Yafen1 XING, Haibing YIN, Hongkui WANG, Qionghua LUO

    Published 2022-02-01
    “…The existing temporal domain JND(just noticeable distortion) models are not sufficient to depict the interaction between temporal parameters and HVS characteristics, leading to insufficient accuracy of the spatial-temporal JND model.To solve this problem, feature parameters that can accurately describe the temporal characteristics of the video were explored and extracted, as well as a homogenization method for fusing heterogeneous feature parameters, and the temporal domain JND model based on this was improved.The feature parameters were investigated including foreground and background motion, temporal duration along the motion trajectory, residual fluctuation intensity along motion trajectory and adjacent inter-frame prediction residual, etc., which were used to characterize the temporal characteristics.Probability density functions for these feature parameters in the perception sense according to the HVS(human visual system) characteristics were proposed, and uniformly mapping the heterogeneous feature parameters to the scales of self-information and information entropy to achieve a homogeneous fusion measurement.The coupling method of visual attention and masking was explored from the perspective of energy distribution, and the temporal-domain JND weight model was constructed accordingly.On the basis of the spatial JND threshold, the temporal domain weights was integrated to develop a more accurate spatial-temporal JND model.In order to evaluate the performance of the spatiotemporal JND model, a subjective quality evaluation experiment was conducted.Experimental results justify the effectiveness of the proposed model.…”
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    Article
  6. 3086

    Improving Adult Vision Through Pathway‐Specific Training in Augmented Reality by Yige Gao, Yulian Zhou, Qing He, Wen Wen, Peng Zhang

    Published 2025-06-01
    “…This AR‐based, pathway‐specific training method can be effective for improving visual functions in both healthy adults and patients with visual disorders.…”
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    Article
  7. 3087

    Inflammation Biomarker-Driven Vertical Visualization Model for Predicting Long-Term Prognosis in Unstable Angina Pectoris Patients with Angiographically Intermediate Coronary Lesio... by Zhou B, Tan W, Duan S, Wang Y, Bian F, Zhao P, Wang J, Yao Z, Li H, Hu X, Wang J, Liu J

    Published 2024-12-01
    “…This study investigated the prognostic significance of integrating commonly used, easily repeatable inflammatory biomarkers within a multimodal preoperative prediction model in patients presenting with unstable Angina Pectoris (UAP) and intermediate coronary lesions.Methods: This retrospective analysis included patients diagnosed with UAP and intermediate coronary lesions (50%– 70% stenosis) who underwent coronary angiography at our hospital between January 2019 and June 2021. …”
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  8. 3088

    2D and 3D visualization of herbaceous plant–plant contact zones using high‐resolution X‐ray computed tomography (HRXCT) by Hildah K. Kithinji, Olivier Dayou, Léo Botton‐Divet, Thomas Stach, Susann Wicke

    Published 2025-03-01
    “…An in‐depth understanding of parasite–host interactions is required to develop species‐specific and ecologically sustainable parasite management methods. The non‐invasive visualization of herbaceous contact zones, applicable to diverse parasite–host pathosystems presented in this study, brings methodological advance to the research of biotic interactions between crops and plant parasites belonging to the most devastating parasitic plant family (Orobanchaceae). …”
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  9. 3089
  10. 3090

    358 Rare disease study identification (RDSI): A natural language processing assisted search and visualization tool for clinical studies of rare diseases by Michael Lin, Jennifer Weis, H M Abdul Fattah, Jungwei Fan

    Published 2025-04-01
    “…To address this gap, we applied natural language processing (NLP) and visualization techniques to develop an efficient pipeline and user-friendly web interface. …”
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  11. 3091

    3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization by Rishabh Narayanan, Elizabeth Peker, William DeGroat, Dinesh Mendhe, Saman Zeeshan, Zeeshan Ahmed

    Published 2025-08-01
    “…Methods In this study, we focused on addressing such challenges by developing an innovative solution to better visualize results produced by AI/ML approaches on integrated clinical and multi-omics data for novel biomarker discovery and predictive analysis. …”
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  12. 3092

    Assessing the Feasibility and Utility of Patient-Specific 3D Advanced Visualization Modeling in Cerebrovascular Disease: Retrospective Analysis and Prospective Survey Pilot Study by Korak Sarkar, Vishal Bhimarasetty, Abdul Rahim, Colin Curtis, Kimberly Hughes

    Published 2025-02-01
    “…Existing 2D imaging modalities have inherent limitations in visualizing complex CVD, which may be mitigated with the use of patient-specific 3D advanced visualization (AV) technologies. …”
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  13. 3093
  14. 3094
  15. 3095

    Do explainable AI (XAI) methods improve the acceptance of AI in clinical practice? An evaluation of XAI methods on Gleason grading by Robin Manz, Jonas Bäcker, Samantha Cramer, Philip Meyer, Dominik Müller, Anna Muzalyova, Lukas Rentschler, Christoph Wengenmayr, Ludwig Christian Hinske, Ralf Huss, Johannes Raffler, Iñaki Soto‐Rey

    Published 2025-03-01
    “…In addition, we aimed to determine whether XAI helps to increase the acceptance of artificial intelligence (AI) and recommend a particular method for this use case. The evaluation was conducted on a tool developed in‐house with different visualization approaches to the AI‐generated Gleason grade and the corresponding XAI explanations on top of the original slide. …”
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  16. 3096

    Neurophysiological Changes in Patients with Discirculatory Encephalopathy Associated with Ischemic Optic Neuropathy by T. N. Iureva, A. A. Zaika, V. V. Shprakh, S. I. Zhukova

    Published 2020-09-01
    “…All patients underwent ultrasound scanning of neck vessels, visual fields determination, electroretinography, visual evoked potentials, and electroencephalogram. …”
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  17. 3097

    Occlusion Outcomes in Unilateral Amblyopia Types: A Longitudinal and Interventional Study in Children from the Marrakech-Safi Region by Mustapha Jaouhari, Chaimae El Harrak, Farida Bentayeb, Youssef El Merabet

    Published 2024-12-01
    “…Methods: A longitudinal and interventional study of 91 children, aged 3–9 years (6.12 ± 1.879) with amblyopia was undertaken. …”
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  18. 3098

    Clinical value of Beery visual-motor integration and Beery VMI supplemental tests in Chinese preschoolers: a modified replication cross-sectional study by Xin Tang, Xuan Xu, Cong Wang, Lijuan Ao

    Published 2025-03-01
    “…This study aimed to examine differences between the proportion of children with poor visual-motor integration (VMI) performance in published population norms with that in the sample population of this study and to assess the predictive value of the visual perception(VP) and motor coordination(MC) scores in explaining VMI variance in Chinese preschoolers.MethodsA random sample of 421 children ageds 3.0–6.11 years (mean age, 4.51 ± 0.93) participated in this study. …”
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  19. 3099

    Determination of the Sound Intensity Vector Field from Synchronized Sound Pressure Waveforms by Witold Mickiewicz, Michał Raczyński

    Published 2024-12-01
    “…This allows for the use of a single microphone and eliminates one of the main problems of the classical PP probe, which is the phase mismatch of two different microphones. The described method was used to visualize the vector acoustic field in front of an active loudspeaker. …”
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  20. 3100

    Revealing the effects of environmental and spatio-temporal variables on changes in Japanese sardine (Sardinops melanostictus) high abundance fishing grounds based on interpretable... by Yongchuang Shi, Lei Yan, Shengmao Zhang, Fenghua Tang, Shenglong Yang, Wei Fan, Haibin Han, Yang Dai

    Published 2025-01-01
    “…Three models (XGBoost, LightGBM, and CatBoost) and two variable importance visualization methods (model built-in (split) and SHAP methods) were used for comparative analysis to determine the optimal modeling and visualization strategies. …”
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