Analysis of the Porphyrin Peak Shift and Fluorescence Lifetime in Gliomas with Different Tumor Grades, Intratumoral Regions, and Visible Fluorescence Status by Lisa Irina Körner, David Reichert, Marco Andreana, Angelika Unterhuber, Mikael T. Erkkilae, Jessica Makolli, Barbara Kiesel, Mario Mischkulnig, Thomas Rötzer-Pejrimovsky, Adelheid Wöhrer, Mitchel S. Berger, Rainer Leitgeb, Georg Widhalm

“…Based on these initial data using fluorescence lifetime, this knowledge is of major importance, especially for detecting tissue from LGG that lack visible fluorescence, to further optimize the visualization of these tumor tissue using this promising imaging modality.…”
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Global research on the utilization of population pharmacokinetic model: a bibliometric analysis from 2000 to 2024 by Yucheng Yao, Yucheng Yao, Liyuan Zhang, Dan Chen, Shiran Qin, Shiran Qin, Mingyu Meng, Qiuyan Guo

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A Dual-Technology Approach: Handheld NIR Spectrometer and CNN for <i>Fritillaria</i> spp. Quality Control by Fengling Li, Wen Lei, Juan Li, Xiaoting Wang, Jingyu Su, Tangnuer Sahati, Xiahenazi Aierkenjiang, Ruyi Tian, Weihong Zhou, Jixiong Zhang, Jingjing Xia

“…The features contributing to the origin of <i>Fritillaria</i> spp. were visualized using gradient-weighted class activation mapping (Grad-CAM). …”
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Lesionia: a digital data management system to enhance collaborative management of epidemiological and clinical data of cutaneous leishmaniases patients by Emna Harigua-Souiai, Youssef Ben Salem, Maaoui Hariga, Yusr Saadi, Hejer Souguir, Hamed Chouaieb, Olufemi Adedokun, Imen Mkada, Zeineb Moussa, Akila Fathallah-Mili, Meryem Lemrani, Nabil Haddad, Ayoade Oduola, Oussama Souiai, Insaf Bel Hadj Ali, Ikram Guizani

“…The WUI permits data entry, fetching, visualization and analysis. …”
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Data Journalism in Turkey: Developing a Scale and Measuring Journalists’ Skills by Seçil Özay, Serkan Bayrakcı

“…As a result of the research, it has been determined that while the journalism skills of the news producers are at a high level, their competence in data processing is low. In this sense -as a result of the study- a revision is recommended in both academic and professional training curriculum to include data collection, analysis and visualization skills that will improve data skills of news producers.…”
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Models and software of study process data analysis by Vytautas Janilionis, Tomas Ruzgas

“…The models and software were developed using applied statistics met­hods (descriptive statistics, analysis of variance, nonparametric tests, cluster analysis, correlation and logistic regression analysis) as well as data warehousing, multidimensional reporting, visua­lisation, object progranuning technologies and software SAS. …”
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Python scripts for web scraping metadata from descriptions of the international scenario of research data repositories by Alexandre Ribas Semeler, Arthur Longoni Oliveira, Fabiana Andrade Pereira, Policarpo Matiquite

“…Methods: The process requires applying knowledge inherent to the techniques and technologies used for descriptive data analysis, information retrieval, manipulation, analysis, and data visualization. …”
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tomoseqr: A Bioconductor package for spatial reconstruction and visualization of 3D gene expression patterns based on RNA tomography. by Ryosuke Matsuzawa, Daichi Kawahara, Makoto Kashima, Hiromi Hirata, Haruka Ozaki

“…We developed tomoseqr, an R package designed for RNA tomography analysis of tomo-seq data, to reconstruct and visualize 3D gene expression patterns through user-friendly graphical interfaces. …”
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Structure preserving t-SNE of matrix framed data by Soohyun Ahn, Johan Lim, Wei Jiang, Sungim Lee, Xinlei Wang

“…These elements can take various forms, such as scalars, vectors, time series, matrices, or arrays. Existing data visualization methods aim to represent data elements of different groups without considering the underlying two-dimensional structure present in matrix-framed data. …”
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Transfer Learning based Image Classification of Diseased Tomato Leaves with Optimal Fine-Tuning combined with Heat Map Visualization by Sivakumar Palanıswamy, Vijayakumar Vaıthyam Rengarajan, Sandhya Devi Ramıah Subburaj

“…It is presumed that the implementation of deep learning algorithms demands a large amount of data to learn complex features automatically and this can pose a challenge for applications with lesser data to achieve generalization. …”
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Accordance of Indocyanine Green Angiography and Optical Coherence Tomography Angiography in Visualization of Neovascularization Associated with Chronic Central Serous Chorioretinop... by E. K. Pedanova, O. B. Klepinina, D. A. Buryakov

“…Purpose: to compare informativity and accordance of indocyanine green angiography (ICGA) and optical coherence tomography angiography (OCT-A) data in visualization of neovascularization associated with chronic central serous chorioretinopathy. …”
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Qualitative studies: designing a multimodal medical visualization tool for helping patients interpret 3D medical images by Jinjin Chen, Ji Ma, Yongjian Huai

“…There is a pressing need for easy-to-understand medical visualization tools to help patients accurately interpret 3D image data, especially given the large number of patients requiring such assistance.ObjectiveIn this paper, we explore the design considerations of a multimodal medical visualization tool for interpreting 3D medical images, which can help users to understand and recognize 3D medical image data.MethodsAn observational study and focus group interviews were conducted to explore how patients interact with physicians and the main problems they encounter when interpreting 3D medical images. …”
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SegR3D: A Multi-Target 3D Visualization System for Realistic Volume Rendering of Meningiomas by Jiatian Zhang, Chunxiao Xu, Xinran Xu, Yajing Zhao, Lingxiao Zhao

“…This paper introduces an innovative realistic 3D medical visualization system, namely SegR3D. It incorporates a 3D medical image segmentation pipeline, which preprocesses the data via semi-supervised learning-based multi-target segmentation to generate masks of the lesion areas. …”
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Advanced Three-Dimensional Visualization System for an Integral Imaging Microscope Using a Fully Convolutional Depth Estimation Network by Ki-Chul Kwon, Ki Hoon Kwon, Munkh-Uchral Erdenebat, Yan-Ling Piao, Young-Tae Lim, Yu Zhao, Min Young Kim, Nam Kim

“…In this paper, we propose an advanced three-dimensional visualization method for an integral imaging microscope system to simultaneously improve the resolution and quality of the reconstructed image. …”
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A Novel Forest Dynamic Growth Visualization Method by Incorporating Spatial Structural Parameters Based on Convolutional Neural Network by Linlong Wang, Huaiqing Zhang, Kexin Lei, Tingdong Yang, Jing Zhang, Zeyu Cui, Rurao Fu, Hongyan Yu, Baowei Zhao, Xianyin Wang

“…In addition, these visual growth models still have some space for improvement in terms of prediction accuracy and multirelational data mining. …”
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Data Storytelling Around André Mazon’s Correspondence by Silvie Cinková, Barbora Hladká, Jiří Mírovský, Sylvie Archaimbault

“…Namely, we demonstrate the four stages of the data lifecycle – gathering, analyzing, annotating, licensing & sharing – using the multilingual correspondence collection of French Slavist André Mazon and tools for data visualization (Tableau Public), text transcription (Transkribus, Pero), building and searching text corpora (TEITOK, Corpus Query Language) and natural language processing (UDPipe). …”
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Visualization and workload with implicit fNIRS-based BCI: toward a real-time memory prosthesis with fNIRS by Matthew Russell, Samuel Hincks, Liang Wang, Amin Babar, Zaiyi Chen, Zachary White, Robert J. K. Jacob

“…Our prototype implementation used data from two tasks designed to interface with different brain networks: a creative visualization task intended to engage the Default Mode Network (DMN), and a complex knowledge-worker task to engage the Dorsolateral Prefrontal Cortex (DLPFC). …”
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Prefabricated building construction in materialization phase as catalysts for hotel low-carbon transitions via hybrid computational visualization algorithms by Gangwei Cai, Xiaoting Guo, Yuguang Sun

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A cartographic generalization method for 3D visualization of trajectories in space–time cubes: case study of epidemic spread by Fei Yang, Jie Shen, Fengzhen Zhu, Junrui Zhang

“…The widespread adoption of positioning technology and location-based services has resulted in the continuous generation of substantial volumes of accessible spatiotemporal trajectory data. While many studies focus on 2D trajectory visualization, research on visual overload in 3D space remains limited. …”
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Research trends and visualization analysis of autoimmune disease-related liver cancer from 2004 to 2024: a bibliometric study by Xusheng Zhang, Yannan Xie, Wenyan Zhou, Qi Wang, Bendong Chen

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