Neural network for step anomaly detection in head motion during fMRI using meta-learning adaptation by N.S. Davydov, V.V. Evdokimova, P.G. Serafimovich, V.I. Protsenko, A.G. Khramov, A.V. Nikonorov

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Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic... by Jimmy Londono, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, Mahmood Dashti

“…Method: In this study, we conducted a meta-analysis and systematic review to evaluate the accuracy of ML software for detecting and predicting anatomical landmarks on two-dimensional (2D) lateral cephalometric images. …”
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Mendelian Randomization Analysis Reveal the Role of Circulating Inflammatory Proteins in Mediating Functional Brain Networks and Peripheral Neuropathic Pain Effects by Wen‐Hui Liu, Hui‐Min Hu, Chen Li, Qing Shi, Yi‐Fan Li, Peng Mao, Bi‐Fa Fan

“…We performed two‐sample MR analysis to investigate the causal effects of functional brain networks on PHN and TN. …”
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Okra disease dataset for classification and segmentation: Dataset collection, analysis and applicationsMendeley DataMendeley Data by K. Sowmiya, M. Thenmozhi

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COVID-19 Severity Classification Using Hybrid Feature Extraction: Integrating Persistent Homology, Convolutional Neural Networks and Vision Transformers by Redet Assefa, Adane Mamuye, Marco Piangerelli

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There’s a place for us? The Digital Agenda Committee and internet policy in the German Bundestag by Julia Schwanholz, Tobias Jakobi

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Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

“…ABSTRACT Automating mineral delineation and rock type analysis using remote sensing imaging data is a critical application of machine learning. …”
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Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification by Zuojun Zheng, Jianghao Yuan, Wei Yao, Paul Kwan, Hongxun Yao, Qingzhi Liu, Leifeng Guo

“…Fusion of RGB images and multispectral data improved the accuracy by 1–4% compared to using a single data source. …”
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Spatial-Spectral Linear Extrapolation for Cross-Scene Hyperspectral Image Classification by Lianlei Lin, Hanqing Zhao, Sheng Gao, Junkai Wang, Zongwei Zhang

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Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data by Hui Li, Tianyu Zhang, Guochao Han, Zonghui Huang, Huiyu Xiao, Yunzhe Ni, Bo Liu, Wennan Lin, Yuan Lin

“…Objective This study aimed to develop a deep learning-based multimodal stroke risk prediction model by integrating carotid ultrasound imaging with multidimensional clinical data to enable precise identification of high-risk individuals among hypertensive patients. …”
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Resting-state brain network analysis and applied evaluation of global developmental delay in preterm infants: A functional near-infrared spectroscopic study by Hengye Huang, Karol Kexin Sun, Dan Wu, Chuncao Zhang, Yanyan Huo, Yuan Tian, Guangjun Yu

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A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data by David M. Morris, Chengjia Wang, Giorgos Papanastasiou, Calum D. Gray, Wei Xu, Samuel Sjöström, Sammy Badr, Julien Paccou, Scott IK Semple, Tom MacGillivray, William P. Cawthorn

“…Objective: To establish deep learning for high-throughput multi-site BMFF analysis from UKBB MRI data. Materials and methods: We studied males and females aged 60–69. …”
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The SmARTR pipeline: A modular workflow for the cinematic rendering of 3D scientific imaging data by Simone Macrì, Nicolas Di-Poï

“…This versatile pipeline supports multiscale visualizations—from tissue-level to whole-organism details across diverse living organisms—and is adaptable to various imaging sources. Its modular design and customizable rendering scenarios, enabled by the global illumination modeling and programming modules available in the free MeVisLab software and seamlessly integrated into detailed SmARTR networks, make it a powerful tool for 3D data analysis. …”
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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

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Decoding Mental States in Social Cognition: Insights from Explainable Artificial Intelligence on HCP fMRI Data by José Diogo Marques dos Santos, Luís Paulo Reis, José Paulo Marques dos Santos

“…Artificial neural networks (ANNs) have been used for classification tasks involving functional magnetic resonance imaging (fMRI), though typically focusing only on fractions of the brain in the analysis. …”
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Role of artificial intelligence in medical radiology and imaging by Mohd Arfat, T. K. Nisha, Sapna Sahu, Mohd Rashid

“…Radiologists face challenges, particularly the overwhelming volume of imaging data, which AI helps manage through artificial neural networks and machine learning (ML) algorithms—two significant innovations in this field. …”
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Graph Neural Networks for Digital Pathology by Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO

“…GNNs are well-suited for analyzing data such as social networks, molecular structures, and medical images, capturing both local and global patterns. …”
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A deep transfer learning model for green environment security analysis in smart city by Madhusmita Sahu, Rasmita Dash, Sambit Kumar Mishra, Mamoona Humayun, Majed Alfayad, Mohammed Assiri

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Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network by Krishna Kant Singh, Akansha Singh

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Salient object detection dataset with adversarial attacks for genetic programming and neural networksMendeley Data by Matthieu Olague, Gustavo Olague, Roberto Pineda, Gerardo Ibarra-Vazquez

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