Trends in CT pulmonary angiography utilization and recurrent imaging in sickle cell disease: a longitudinal study by Ali Hassan, Najla Alomani, Mawaheb Kalalah, Nawra Mujbel, Zainab Khamdan, Murtadha Alobaydun, Mohammed AlAlmai, Zuhur Alazmi, Abdulelah Musihel, Hamad Qabha, Jalila Adnan

“…This study aims to evaluate temporal trends and recurrent imaging patterns. Methods A retrospective cohort study was conducted at Salmaniya Medical Complex, Bahrain, including SCD patients who underwent CTPA for suspected PE between April 15, 2013, and April 15, 2024. …”
Get full text

Negosiasi Citra Budaya Masyarakat Multikultural by Dasrun Hidayat, Engkus Kuswarno, Feliza Zubair, Hanny Hafiar

“…City branding has been done through cultural image negotiations including “insight” analysis of situation, creating and introducing slogan, implementing and maintaining the existing value in the message as well as evaluating or monitoring platform slogan.…”
Get full text

Vibration Measurement of a Metal Sheet Using Single-Camera Digital Image Correlation with Projection Components by Z. H. Liang, L. Yue

“…Finite element analysis and traditional experimental modal analysis were then implemented to validate the effectiveness and accuracy of the proposed approach. …”
Get full text

A New Classification Method in Ultrasound Images of Benign and Malignant Thyroid Nodules Based on Transfer Learning and Deep Convolutional Neural Network by Weibin Chen, Zhiyang Gu, Zhimin Liu, Yaoyao Fu, Zhipeng Ye, Xin Zhang, Lei Xiao

Get full text

Experimenting with learning-based image orientation approaches for photogrammetric mapping of <em>Posidonia oceanica</em> meadows by F. Menna, A. Calantropio, A. Pansini, G. Ceccherelli, E. Nocerino

“…A comparative analysis of traditional algorithms and AI-driven approaches for image orientation is presented on datasets that differ by acquisition protocols, depth, season, platform type, and imaging system. …”
Get full text

Multi class aerial image classification in UAV networks employing Snake Optimization Algorithm with Deep Learning by Alanoud Al Mazroa, Nuha Alruwais, Muhammad Kashif Saeed, Kamal M. Othman, Randa Allafi, Ahmed S. Salama

“…Deep Learning (DL), a powerful tool in artificial intelligence (AI), proves significant in this context, enabling the model to analyze and classify complex aerial images effectually. By utilizing advanced neural network architectures, such as convolutional neural networks (CNN), DL models outperform at identifying complex features and patterns within the aerial imagery. …”
Get full text

High-quality imaging under low scattering conditions using the light field contribution matrix model by Kang Liu, Jia Wu, Jing Cao, Rusheng Zhuo, Xiaoxi Chen, Qiang Zhou, Pinghe Wang, Guohua Shi

“…In fly brain structure imaging experiments, LFCM successfully revealed hidden features and details, demonstrating its advantages in complex structural analysis. …”
Get full text

À la recherche de Mohamed Kouaci, artisan de la Révolution par l’image by Marie Chominot

Get full text

High-Efficiency Enrichment of Megakaryocytes and Identification of Micromegakaryocytes from Human Bone Marrow by Imaging Flow Cytometry by Maya Nautrup Pedersen, Trine Engelbrecht Hybel, Jens Haugbølle Bjerre, Anne Sofie Borg Hammer, Anja Bille Bohn, Marie Bill, Carina Agerbo Rosenberg, Maja Ludvigsen

“…CD41 positive enrichment prior to imaging flow cytometry acquisition increased the MK frequency nearly 200-fold, yielding a population of both mature and immature MKs, thus supporting analysis of MK progenitors. …”
Get full text

Body dissatisfaction, muscle dysmorphia and attitudes towards doping in exercise practitioners: a study regarding gender, educational level and age group by Nathan Leonardo Gomes Costa, Mariana Rílary Silvestre Sousa, Gabriel Lucas de Morais Freire, Daniel Vicentini de Oliveira, Yara Lucy Fidelix, José Fernando Vila Nova de Moraes, José Roberto Andrade do Nascimento Junior

“…The instruments used were the Body Shape Questionnaire (BSQ), the Questionnaire of Attitudes towards Doping in Fitness (QAD-fit) and the Adonis Complex questionnaire (ACQ). Data analysis was conducted using the Kolmogorov-Smirnov, independent Student’s t-tests and MANOVA (p<0.05). …”
Get full text

Comparison Of Number Of Diffusion Gradient Direction In Brain Imaging Diffusion Tensor; Case Study Of Tumor Brain by Afif Rofiky, Paulus Rahardjo, Didik Soeharmanto

“…Background : Diffusion Tensor Imaging (DTI), namely MRI sequence which is the diffusion of water analysis that shows the complex structure of brain tissue. …”
Get full text

Energy-resolved neutron imaging and diffraction including grain orientation mapping using event camera technology by Tsviki Y. Hirsh, Andrew F. T. Leong, Adrian S. Losko, Alexander Wolfertz, Daniel J. Savage, Tim T. Jäger, John Rakovan, James J. Wall, Alexander M. Long, Sven C. Vogel

“…This integration enables simultaneous diffraction and imaging across the full spectrum, with analysis optimized for diffraction and Bragg-edge imaging in the thermal range (0.45–10 Å) and resonance imaging in the epithermal range (0.5–3000 eV), facilitating comprehensive multi-modal analysis. …”
Get full text

Sparse Feature-Weighted Double Laplacian Rank Constraint Non-Negative Matrix Factorization for Image Clustering by Hu Ma, Ziping Ma, Huirong Li, Jingyu Wang

Get full text

A Full-Scale Shadow Detection Network Based on Multiple Attention Mechanisms for Remote-Sensing Images by Lei Zhang, Qing Zhang, Yu Wu, Yanfeng Zhang, Shan Xiang, Donghai Xie, Zeyu Wang

“…Shadows degrade image quality and complicate interpretation, underscoring the importance of accurate shadow detection for many image analysis tasks. …”
Get full text

Optimizing breast cancer ultrasound diagnosis: a comparative study of AI model performance and image resolution by Yunqing Yin, Junkui Fang, Wei Zhang, Xinying Shen

“…MobileNet_224 and MobileNet_320 had the fastest analysis speed.ConclusionMobileNet_224 represents a novel, efficient AI framework for breast cancer diagnosis demonstrating superior accuracy and speed compared to both complex AI models and experienced clinicians. …”
Get full text

Improving and simulating urban landscape image recognition using combination optimization and fuzzy K-means algorithm by Lihua Yang, Yuhui Zheng

“…Modern image recognition systems are pivotal in enhancing urban landscapes to support sustainable development and improving urban planning performance in a dynamic environment. …”
Get full text

GLI-Net: A global and local interaction network for accurate classification of gastrointestinal diseases in endoscopic images by Yuansen Zhang, Mengxiao Zhuang, Wenjun Chen, Xiaoqiu Wu, Qingqing Song

“…In summary, GLI-Net’s advanced feature extraction and fusion techniques significantly enhance medical endoscopic image classification, highlighting its potential for use in complex medical image analysis tasks.…”
Get full text

Temporal Denoising of Infrared Images via Total Variation and Low-Rank Bidirectional Twisted Tensor Decomposition by Zhihao Liu, Weiqi Jin, Li Li

“…Extensive experiments conducted using complex scenes underscore the strong adaptability and robustness of our algorithm.…”
Get full text

Accelerated chemical shift encoded cardiovascular magnetic resonance imaging with use of a resolution enhancement network by Manuel A. Morales, Scott Johnson, Patrick Pierce, Reza Nezafat

“…Methods: FastCSE was built on a super-resolution generative adversarial network extended to enhance complex-valued image sharpness. FastCSE enhances each echo image independently before water-fat separation. …”
Get full text

Intelligent Stress Detection Using ECG Signals: Power Spectrum Imaging with Continuous Wavelet Transform and CNN by Rodrigo Mateo-Reyes, Irving A. Cruz-Albarran, Luis A. Morales-Hernandez

“…The proposed approach is characterized by its ability to transform ECG signals into time–frequency representations by means of short duration sampling, achieving an accurate classification of stress states without the need for complex feature extraction processes. This model is an efficient and accurate tool for stress analysis from biomedical signals.…”
Get full text