Decision‐making for pediatric cervical spine imaging after blunt trauma: Investigating team dynamics in the emergency department by Megan E. Gregory, Annie Truelove, Fahd Ahmad, Daniel Corwin, Leah Tzimenatos, Scott J. Oglesbee, Martin J. Herman, Julie C. Leonard

“…Abstract Objective Cervical spine imaging decision‐making for pediatric traumas is complex and multidisciplinary. …”
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CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…Ultimately, high-quality difference images are generated from the extracted bi-temporal features, then use thresholding analysis to obtain a final change map. …”
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Research on early fire source identification and anti-interference methods in mines based on dual-spectrum imaging technology by WANG Yanlin, PEI Xiaodong, WANG Kai, XU Guang

“…Existing image analysis-based methods for exogenous mine fire detection are affected by complex mining environments and interference sources. …”
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New Method for Interpreting Gas and Water Production in Horizontal Gas Wells Based on Array Flow Imaging Logging by CHEN Haixiang, ZHENG Xiaomin, LIU Heng, LUO Ning, YANG Guofeng, CHEN Meng

“…However, due to the combined effects of factors such as horizontal wellbore size, well structure, fluid properties, and gravity segregation, the gas-water two-phase flow behavior in horizontal wells is extremely complex. Traditional multiple-measurement intersection analysis methods often struggle to accurately reflect the gas and water production from individual layers when determining the average fluid velocity in the wellbore, leading to significant errors. …”
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Exploring barriers and facilitators for implementation of novel image-guided minimally invasive procedures: nationwide experiences on navigation bronchoscopy by Erik H F M van der Heijden, Rosella P M G Hermens, Roel L J Verhoeven, Ferhat Beyaz, Renée M Geraats, Julie E M Swillens

“…Background Early-stage lung cancer mostly occurs asymptomatically and is found incidentally as peripheral pulmonary nodules on medical imaging. Cone beam CT-guided navigation bronchoscopy (CBCT-NB) is a novel and evidence-based minimally invasive procedure to obtain a tissue diagnosis from these pulmonary nodules. …”
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Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR by Yifan Wu, Xiyu Qi, Lijia Huang, Bingchen Zhang, Wenyi Zhang, Lili Yan

“…By employing coherent fusion technology, we restore the complete full-aperture complex data, successfully generating high-quality background scene images without moving target interference. …”
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Pediatric BurnNet: Robust multi-class segmentation and severity recognition under real-world imaging conditions by Xiang Li, Zhen Liu, Lei Liu

“…Objective: To establish and validate a deep learning model that simultaneously segments pediatric burn wounds and grades burn depth under complex, real-world imaging conditions. Methods: We retrospectively collected 4785 smartphone or camera photographs from hospitalized children over 5 years and annotated 14,355 burn regions as superficial second-degree, deep second-degree, or third-degree. …”
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An explainable AI-driven deep neural network for accurate breast cancer detection from histopathological and ultrasound images by Md. Romzan Alom, Fahmid Al Farid, Muhammad Aminur Rahaman, Anichur Rahman, Tanoy Debnath, Abu Saleh Musa Miah, Sarina Mansor

“…However, traditional diagnostic processes relying on manual analysis of medical images are inherently complex and subject to variability between observers, highlighting the urgent need for robust automated breast cancer detection systems. …”
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gamUnet: designing global attention-based CNN architectures for enhanced oral cancer detection and segmentation by Jinyang Zhang, Hongxin Ding, Hongxin Ding, Runchuan Zhu, Weibin Liao, Weibin Liao, Junfeng Zhao, Junfeng Zhao, Min Gao, Xiaoyun Zhang

“…While deep learning methods, especially convolutional neural networks (CNNs), have advanced automated analysis of histopathological images for cancerous tissues in various body parts, OSCC presents unique challenges. …”
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Intra- and Inter-Regional Complexity in Multi-Channel Awake EEG Through Multivariate Multiscale Dispersion Entropy for Assessing Sleep Quality and Aging by Ahmad Zandbagleh, Saeid Sanei, Lucía Penalba-Sánchez, Pedro Miguel Rodrigues, Mark Crook-Rumsey, Hamed Azami

“…Aging and poor sleep quality are associated with altered brain dynamics, yet current electroencephalography (EEG) analyses often overlook regional complexity. This study addresses this gap by introducing a novel integration of intra- and inter-regional complexity analysis using multivariate multiscale dispersion entropy (mvMDE) from awake resting-state EEG for the first time. …”
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Orai–vascular endothelial-cadherin signaling complex regulates high-glucose exposure-induced increased permeability of mouse aortic endothelial cells by Wei He, Juan Du, Suwen Bai, Yuan Wei, Wenxuan Hou, YanHeng Yao, Junwei Zhu, Yinan Du, Bing Shen, Haoshu Fang

“…To study the role and molecular mechanism of Orais–vascular endothelial (VE)-cadherin signaling complex and its downstream signaling pathway in diabetic endothelial injury using mouse aortic endothelial cells (MAECs).Research design and methods The activity of store-operated Ca2+ entry (SOCE) was detected by calcium imaging after 7 days of high-glucose (HG) or normal-glucose (NG) exposure, the expression levels of Orais after HG treatment was detected by western blot analysis. …”
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The oncolytic avian reovirus p17 protein suppresses invadopodia formation via disruption of TKs5 complexes and oncogenic signaling pathways by Chao-Yu Hsu, Jyun-Yi Li, Jyun-Yi Li, Wei-Ru Huang, Wei-Ru Huang, Tsai-Ling Liao, Tsai-Ling Liao, Hsiao-Wei Wen, Chi-Young Wang, Chi-Young Wang, Lon-Fye Lye, Brent L. Nielsen, Hung-Jen Liu, Hung-Jen Liu, Hung-Jen Liu, Hung-Jen Liu, Hung-Jen Liu

“…This blocked the formation of the FAK-Src complex and inhibited the Rab40b-PI3K-Akt signaling pathway. p17 also transcriptionally downregulated TKs5, Nck1, and Rab40b, thereby reducing the formation of TKs5-Nck1 and TKs5-Rab40b complexes, which are critical for invadopodia formation. …”
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A spatial imaging-transcriptomics paradigm for deciphering the molecular basis of microscopic MRI in the normal brain and Alzheimer’s disease by Yiqi Shen, Yao Shen, Menglei Wang, Kaiyu Jin, Penghui Yang, Zuozhen Cao, Qinfeng Zhu, Zhiyong Zhao, Haotian Li, Lei Han, Shiping Liu, Jie Liao, Jing Zhang, Xiaohui Fan, Dan Wu

“…Critically, imaging-defined disease foci can guide differential gene expression analysis to uncover AD-specific genetic alterations. …”
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Robust Semantic Segmentation of Wafer Transmission Electron Microscopy Image Using Multi-Task Learning With Edge Detection by Yongwon Jo, Jinsoo Bae, Hansam Cho, Sungsu Kim, Heejoong Roh, Kyunghye Kim, Munki Jo, Munuk Kim, Jaeung Tae, Seoung Bum Kim

“…This framework offers a more robust solution for addressing the complexities of wafer TEM image analysis and advances the field of automated semiconductor analysis.…”
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Histopathological-based brain tumor grading using 2D-3D multi-modal CNN-transformer combined with stacking classifiers by Naira Elazab, Fahmi Khalifa, Wael Gab Allah, Mohammed Elmogy

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Urban object detection algorithm based on feature enhancement and progressive dynamic aggregation strategy by Luxuan Bian, Zijun Gao, Jue Wang, Bo Li

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Multichrome encoding-based multiplexed, spatially resolved imaging reveals single-cell RNA epigenetic modifications heterogeneity by Dongsheng Mao, Xiaochen Tang, Runchi Zhang, Song Hu, Hongquan Gou, Penghui Zhang, Wenxing Li, Qiuhui Pan, Bing Shen, Xiaoli Zhu

“…As an innovative epigenetic modification imaging tool, PREEM not only broadens the horizons of single-cell epigenetics research, enabling joint analysis of multiple targets beyond the limitations of imaging channels, but also reveals cell-to-cell variability, thereby enhancing our capacity to explore cellular functions.…”
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Link Aggregation for Skip Connection–Mamba: Remote Sensing Image Segmentation Network Based on Link Aggregation Mamba by Qi Zhang, Guohua Geng, Pengbo Zhou, Qinglin Liu, Yong Wang, Kang Li

“…This paper introduces a novel U-Net-like network for UAV image segmentation. We developed a link aggregation Mamba at the critical skip connection stage of UNetFormer. …”
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A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…The generated images of SRGAN overcome challenges associated with misclassification due to the poor resolution of microscopic images, while the use of a pretrained model as a classifier reduces classification complexity. …”
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DenseNet-FPA: Integrating DenseNet and Flower Pollination Algorithm for Breast Cancer Histopathology Image Classification by Musa Adamu Wakili, Harisu Abdullahi Shehu, Mahdi Abdollahi, Badamasi Imam Ya'u, Md Haidar Sharif, Huseyin Kusetogullari

“…While histopathological image analysis plays a key role in breast cancer diagnosis, the complexity and heterogeneity of these images present significant challenges. …”
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