Observations of circumstellar disks in scattered light with SPHERE at the VLT by Boccaletti, Anthony

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Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels by Lara M. Bonney, Matthew D. Walker, Daniel R. McGowan

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The Impact of Vitamin D Deficiency on Coronary Artery Disease Severity Based on Myocardial Perfusion Imaging: A Cross-Sectional Study by Mahdi Haghighatafshar, Behnaz Shekasteband, Tahereh Firuzyar, Zahra Etemadi, Farinaz Farhoudi, Mesbah Shams

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On Dimitri Karadimas’ “Gods, warriors, and celestial parasites. Perceptions, myths, and images in South America” and his canonical version of iconographic perception by Ernst Halbmayer

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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

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Spatiotemporal variability of turbidity water in tidal areas of Perak River, Malaysia, based on field survey and Sentinel-2 image analysis by Takahashi Haruna, Yamasaki Yosei, Nakata Akane, Okada Shoji

“…An equation to estimate turbidity from surface reflectance at near-infrared wavelengths was experimentally developed using fine sand collected from the Perak River, and this equation was applied to past Sentinel-2 images to clarify the spatiotemporal variability characteristics of turbidity in the tidal zone. …”
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MAEMC-NET: a hybrid self-supervised learning method for predicting the malignancy of solitary pulmonary nodules from CT images by Tianhu Zhao, Tianhu Zhao, Yong Yue, Hang Sun, Jingxu Li, Yanhua Wen, Yudong Yao, Wei Qian, Yubao Guan, Shouliang Qi, Shouliang Qi

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Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation by Tomohisa Seki, Yoshimasa Kawazoe, Yoshimasa Kawazoe, Hiromasa Ito, Yu Akagi, Toru Takiguchi, Kazuhiko Ohe, Kazuhiko Ohe

“…Even when the answers were correct, erroneous descriptions of image features were common. These findings suggest a need for improved control over image hallucination and indicate that performance evaluation using the percentage of correct answers to multiple-choice questions may not be sufficient for performance assessment in VQA tasks.…”
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Text leads, images and videos follow: the impact of processing paths and input modalities on metaphorical competence in Chinese foreign language learners by Siyun Li, Yang Zhao

“…The data were subjected to correlation analysis using SPSS software.ResultsRational processing excelled in metaphor comprehension competence (MCC), particularly with unimodal input, although metaphor production competence (MPC) showed an overall decline, especially in multimodal conditions; the rational processing path significantly outperformed the contextual guessing path in the immediate posttest in the three delayed posttests, but the effect diminished over time; Using the rational processing path, test times significantly affected MCC, whereas, MPC was affected by input modality and test times; Using the contextual guessing path, test times significantly affected MCC; With unimodal input, processing paths and test times significantly affected MCC, whereas processing paths affected MPC; With multimodal input, test times significantly affected MCC. …”
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Automatic Adaptive Algorithm for Delineation of Cerebral-Spinal Fluid Regions for Non-contrast Magnetic Resonance Imaging Volumetry and Cisternography in Mice by Ryszard Gomolka

“…Magnetic resonance imaging (MRI) is an invaluable method of choice for anatomical and functional in vivo imaging of the brain. …”
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OsteoNet—A Framework for Identifying Osteoporosis in Bone Radiograph Images Using Attention-Based VGG Network by Abdul Wahab Muzaffar, Farhan Riaz, Muhammad Tahir

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Manipulating Disclosure to Repair Corporate Image After an Environmental Disaster: A Study of the Impact of the Dam Failure on Samarco’s Sustainability Reports by Fernando César Bezerra de Amorim, Maria Tereza Saraiva de Souza

“…The analysis of the environmental disclosure of texts and images exposed the contradictions and inconsistency of the SRs in relation to the reports from official agencies and the news published in the media. …”
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Operative Time Learning Curve for an Image-Free Robotic Arm Assisted Total Knee Arthroplasty: A Cumulative Sum Analysis by Cale A. Pagan, MD, Theofilos Karasavvidis, MD, Breana Siljander, MD, Eytan M. Debbi, MD, PhD, Charles A. DeCook, MD, Jonathan Vigdorchik, MD

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Prediction of case types from non-searchable pdf documents in arabic: Comparison of machine learning and deep learning with image processing by El Arrasse Mouad, Khourdifi Youness, Mounir Soufyane, El Alami Alae

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Validation of a data-driven motion-compensated PET brain image reconstruction algorithm in clinical patients using four radiotracers by Ole L. Munk, Anders B. Rodell, Patricia B. Danielsen, Josefine R. Madsen, Mie T. Sørensen, Niels Okkels, Jacob Horsager, Katrine B. Andersen, Per Borghammer, Joel Aanerud, Judson Jones, Inki Hong, Sven Zuehlsdorff

“…Abstract Purpose Patients with dementia symptoms often struggle to limit movements during PET examinations, necessitating motion compensation in brain PET imaging to ensure the high image quality needed for diagnostic accuracy. …”
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Applying satellite images to spectral signature development of maize production (Zea mays L. under Colombia's middle tropics conditions by Edier Fernando Ávila Vélez, Natalia Escobar Escobar, Carlos Francisco Morantes Choconta

“…El maíz es actualmente el segundo cultivo más grande del mundo en términos de producción, después del trigo y el arroz. …”
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64Cu-chelated InP/ZnSe/ZnS QDs as PET/fluorescence dual-modal probe for tumor imaging by Ziyu Zhao, Ayaka Otsuka, Noriko Nakamura, Toshifumi Tatsumi, Kazuhiro Nakatsui, Taiki Tsuzukiishi, Tomo Sakanoue, Kenji Shimazoe, Seiichi Ohta

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Segmentasi Pertumbuhan Padi berbasis Aerial Image menggunakan Fitur Warna dan Tekstur untuk Estimasi Produksi Hasil Panen by Muhammad Jainal Arifin, Achmad Basuki, Bima Sena Bayu Dewantara

“…This system uses aerial images to reach a wider area and then estimates of agricultural production. …”
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A comparative analysis of the binary and multiclass classified chest X-ray images of pneumonia and COVID-19 with ML and DL models by Pal Madhumita, Mohapatra Ranjan K., Sarangi Ashish K., Sahu Alok Ranjan, Mishra Snehasish, Patel Alok, Bhoi Sushil Kumar, Elnaggar Ashraf Y., El Azab Islam H., Alissa Mohammed, El-Bahy Salah M.

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Automatic Detection and Classification of Eye Diseases from Retinal Images Using Deep Learning: A Comprehensive Research on the ODIR Dataset by Asadi Srinivasulu, Clement Varaprasad Karu, G Sreenivasulu, Gayathri R

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