X-RAY METHODS OF DIAGNOSING THE ENDOPERIODONTITIS by Y. L. Denisova, N. I. Rosenik, L. A. Denisov

“…Comparative analysis of the X-ray examination methods revealed the higher informational content of the cone-beam computed tomography up to 5,51±0,61% than the orthopantomography in the diagnosis of endoperiodontitis in patients aged 35-44 years with periodontal diseases. …”
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Image Inpainting Methods Evaluation and Improvement by Raluca Vreja, Remus Brad

“…With the upgrowing of digital processing of images and film archiving, the need for assisted or unsupervised restoration required the development of a series of methods and techniques. Among them, image inpainting is maybe the most impressive and useful. …”
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An empirical method to identify breaking waves by Mauricio Felga Gobbi

“…The method was statistically tested for its ability to correctly identify breaking waves, using the fact that all waves passing the gauge locations along the shoaling process were visually identified and marked as breaking or nonbreaking. …”
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PHYSIOTHERAPY METHODS FOR PATIENTS WITH ADULT SCOLIOSIS by Evgeniya Dimitrova, Dimitar Nikolov

“…The aim of the present study is to investigate the effect of two different methods of exercise-based therapies on the treatment of adult idiopathic scoliosis. …”
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Assessing Social Norms, Health Behavior, and Change Using Visually Informed Participatory Research Tools: Social Network Mapping and 2x2 Tables by Kathryn Snyder, J. Rachael HaileSelasse, Girija Kaimal, Suruchi Sood

“…Participatory research can be used in conjunction with quantitative, other qualitative, and mixed methods research methods to collaboratively address priority global health issues that are greatly influenced by social norms. …”
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An intelligent dashboard framework for healthcare data analysis and disease outbreak prediction by B. Divya Prabha, P. S. S. Akilashri

“…Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization…”
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Visualization of lithiated/delithiated particle distribution in Li4Ti5O12 electrode by ultralow-voltage scanning electron microscopy imaging by Mitsunori Kitta

“…With its facile and high-throughput screening, ULV-SEM imaging is a promising method for characterizing LIB electrodes and clarifying the reactions occurring.…”
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Airway Segmentation and Centerline Extraction from Thoracic CT - Comparison of a New Method to State of the Art Commercialized Methods. by Pall Jens Reynisson, Marta Scali, Erik Smistad, Erlend Fagertun Hofstad, Håkon Olav Leira, Frank Lindseth, Toril Anita Nagelhus Hernes, Tore Amundsen, Hanne Sorger, Thomas Langø

“…Visualization during navigated bronchoscopy, the segmentation time and methods, differs. …”
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Multi-Layer Modeling and Visualization of Functional Network Connectivity Shows High Performance for the Classification of Schizophrenia and Cognitive Performance via Resting fMRI by Duc My Vo, Anees Abrol, Zening Fu, Vince D. Calhoun

“…<b>Results:</b> The results indicate increased default mode network connectivity with itself and cognitive control regions in patients, while controls showed stronger visual and sensorimotor connectivity. Our DCNN approach achieved 92.8% cross-validated classification accuracy, outperforming competing methods. …”
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Visualization of the Research Panorama of Decision-Making in Soccer: Bibliometric Analysis with VOSviewer and Review of the Most Cited Studies of the Last 15 Years (2010–2024) by Juan David Paucar Uribe, Boryi A. Becerra-Patiño, Jorge Olivares-Arancibia, Rodrigo Yáñez-Sepúlveda, Aldo Vasquez-Bonilla, Daniel Rojas-Valverde, José Francisco López-Gil, Guilherme Machado

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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

“…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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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)

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

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

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

“…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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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

“…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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Advancing Progressive Web Applications to Leverage Medical Imaging for Visualization of Digital Imaging and Communications in Medicine and Multiplanar Reconstruction: Software Deve... by Mohammed A. AboArab, Vassiliki T. Potsika, Alexis Theodorou, Sylvia Vagena, Miltiadis Gravanis, Fragiska Sigala, Dimitrios I. Fotiadis

“…MethodsOur paper introduces a PWA that uses a modular design for enhancing DICOM and MPR visualization in web-based medical imaging. …”
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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

“…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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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

“…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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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

“…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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