Rapid landslide detection from free optical satellite imagery using a robust change detection technique by Rosa Coluzzi, Angela Perrone, Caterina Samela, Vito Imbrenda, Salvatore Manfreda, Letizia Pace, Maria Lanfredi

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Tomography Method of Cemented Sand Based on Constant Gradient Coded 1D T2 Spectrum by WU Turong, CHEN Jinding, ZHANG Qun, ZHAO Xichun, GUO Minling, CHENG Fanggui

“…Nuclear magnetic resonance (NMR) imaging is an advanced technology for core-scale heterogeneity analysis. …”
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Transformer enabled multi-modal medical diagnosis for tuberculosis classification by Sachin Kumar, Shivani Sharma, Kassahun Tadesse Megra

“…This study presents a cross modal transformer-based fusion approach for multimodal clinical data analysis using medical images and clinical data. The proposed approach leverages the image embedding layer to convert image into visual tokens, and another clinical embedding layer to convert clinical data into text tokens. …”
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Attention-Based Dual-Knowledge Distillation for Alzheimer’s Disease Stage Detection Using MRI Scans by Chandita Barman, Sudhanshu Singh, Manob Jyoti Saikia, Shovan Barma

“…Current challenges involve identifying precise discriminating features in low computational complexity without compromising classification accuracy. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…Specific attention is given to the use of machine learning and deep learning in imaging analysis, AI-driven predictive analytics for patient stratification and risk modeling, and the evolution of robotic-assisted surgical techniques. …”
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A Novel 3D Convolutional Neural Network-Based Deep Learning Model for Spatiotemporal Feature Mapping for Video Analysis: Feasibility Study for Gastrointestinal Endoscopic Video Cla... by Mrinal Kanti Dhar, Mou Deb, Poonguzhali Elangovan, Keerthy Gopalakrishnan, Divyanshi Sood, Avneet Kaur, Charmy Parikh, Swetha Rapolu, Gianeshwaree Alias Rachna Panjwani, Rabiah Aslam Ansari, Naghmeh Asadimanesh, Shiva Sankari Karuppiah, Scott A. Helgeson, Venkata S. Akshintala, Shivaram P. Arunachalam

“…To reduce computational complexity, a (2 + 1)D convolution is used in place of full 3D convolution. …”
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A double-layered paper-based analytical device for speciation and simultaneous determination of iron in waters within single-shot analysis by Surachet Thongchan, Punyapat Sookpotarom, Wiboon Praditweangkum, Panumart Thongyoo, Neso Sojic, Nathawut Choengchan

“…The optical image of each reservoir is captured via a smart phone camera under a light control studio and their color intensities are evaluated by ImageJ™ software. …”
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Expert Analysis of Labeling and Packaging Products Manufactured Using Modern Technology in Order to Establish the Printing Method of its Details by M. V. Toropova

“…The author describes the diagnostic complexes of features of these methods displayed at the raster level in the resulting prints (images).…”
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VisGraphVar: A benchmark generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models by Camilo Chacon Sartori, Christian Blum, Filippo Bistaffa

“…Geometric structures, particularly graphs with their inherent flexibility and complexity, serve as an excellent benchmark for evaluating these models’ predictive capabilities. …”
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An improved MP-NMO correction method based on multiparameter fitting and its application by Xiaohui YANG, Pengfei YU, Jiawei ZHANG

“…ConclusionsThe results of this study provide a technical method for the high-fidelity processing of seismic data from structurally complex areas. This method is especially applicable to the analysis and anisotropic inversion of AVO/amplitude versus frequency (AVF) attributes.…”
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Unbiased analysis of obesity related, fat depot specific changes of adipocyte volumes and numbers using light sheet fluorescence microscopy. by Natalie Theobalt, Isabel Hofmann, Sonja Fiedler, Simone Renner, Georg Dhom, Annette Feuchtinger, Axel Walch, Martin Hrabĕ de Angelis, Eckhard Wolf, Rüdiger Wanke, Andreas Blutke

“…Design-based quantitative stereological techniques based on the analysis of 2D-histological sections provide unbiased estimates of relevant 3D-parameters of adipocyte morphology, but often involve complex and time-consuming tissue processing and analysis steps. …”
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Comparative fractal analysis of mandibular condyles in temporomandibular disorder and non-temporomandibular disorder patients using cone-beam computed tomography by Kavali Laxmi Swetha, Sairam Vankadara, Nerrugatti Shiny chelshiya, Bhaandhavi Akula

“…Introduction: Temporomandibular joint (TMJ) anatomy and microstructure is complex. Multifactorial disorders of the TMJ may affect the musculoskeletal and osseous structures of the joint. …”
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Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis by Ibrahim Mohammadzadeh, Bardia Hajikarimloo, Behnaz Niroomand, Nasira Faizi, Pooya Eini, Mohammad Amin Habibi, Alireza Mohseni, Mohammadmahdi Sabahi, Abdulrahman Albakr, Michael Karsy, Hamid Borghei-Razavi

“…However, the lack of external validation and the complexity of input data pose challenges, highlighting the need for rigorous validation with multi-center datasets and standardized imaging techniques to enhance clinical applicability.…”
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Multilevel Feature Cross-Fusion-Based High-Resolution Remote Sensing Wetland Landscape Classification and Landscape Pattern Evolution Analysis by Sijia Sun, Biao Wang, Zhenghao Jiang, Ziyan Li, Sheng Xu, Chengrong Pan, Jun Qin, Yanlan Wu, Peng Zhang

“…A landscape pattern evolution analysis is conducted, focusing on landscape transitions, area changes, and pattern characteristic variations. …”
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Artificial Intelligence Models Accuracy for Odontogenic Keratocyst Detection From Panoramic View Radiographs: A Systematic Review and Meta‐Analysis by Reyhaneh Shoorgashti, Mohadeseh Alimohammadi, Sana Baghizadeh, Bahareh Radmard, Hooman Ebrahimi, Simin Lesan

“…While AI shows strong capabilities in simple cases, it should complement, not replace, human expertise, especially in complex situations.…”
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NDEExplorer: Visual Analytics for Exploring Damage Modes via Multimodal Data in the Non-Destructive Examination of Composite Materials by Dongliang Guo, Lisha Zhou, Xingfa Luo

“…The majority of current research on material damage focuses on the analysis of a single NDE method, resulting in low correlation between different NDE methods, and their results are frequently presented as complex data and images, making it difficult for professionals to obtain intuitive inspection results. …”
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Occupant-Centric Visual Comfort Assessment and Optimization of Passive Solar Façade Shading Systems through View-Based Analysis of Daylight Glare Probability, View Content, and Spa... by Martin Ivanov, Jun Sato

“…This study introduces a comprehensive computational framework integrating image-based simulations, spatial frequency analysis, and multi-objective optimization to evaluate and optimize passive solar shading devices from an occupant-centric perspective. …”
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Enhancing transportation network intelligence through visual scene feature clustering analysis with 3D sensors and adaptive fuzzy control by Jing Xu

“…To enhance the level of intelligence in transportation networks, we propose a visual scene feature clustering analysis method based on 3D sensors and adaptive fuzzy control to address the various complex environments encountered. …”
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Multimodal CustOmics: A unified and interpretable multi-task deep learning framework for multimodal integrative data analysis in oncology. by Hakim Benkirane, Maria Vakalopoulou, David Planchard, Julien Adam, Ken Olaussen, Stefan Michiels, Paul-Henry Cournède

“…Characterizing cancer presents a delicate challenge as it involves deciphering complex biological interactions within the tumor's microenvironment. …”
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Micro-computed tomography analysis and ex-vivo detection of six root canals in a four-rooted mandibular first premolar by Hany Mohamed Aly Ahmed, Mohideen Salihu Farook

“…Location of the canals were confirmed by periapical radiographs with the aid of hand files. Results The 2D imaging showed the presence of four canals. Micro-CT analysis showed a complex canal anatomy which was classified using Ahmed et al. coding system as 444 MB1–2–1–2 DB2-1-2-1-3-2-3 1(ML1 DL1). …”
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