Neuromorphic imaging cytometry on human blood cells by Ziyao Zhang, Haoxiang Yang, Jiayin Li, Shin Wei Chong, Jason K Eshraghian, Ken-Tye Yong, Daniele Vigolo, Helen M McGuire, Omid Kavehei

“…In addition, the rich spatial information derived from cell images has exceptional uses with deep learning (DL) approaches to automate cell analysis, classification, sorting and gating strategy. …”
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Prediction and Mapping of Soil Total Nitrogen Using GF-5 Image Based on Machine Learning Optimization Modeling by LIU Liqi, WEI Guangyuan, ZHOU Ping

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Impact of lens autofluorescence and opacification on retinal imaging by Frank G Holz, Maximilian Pfau, Monika Fleckenstein, Raffael Liegl, Geena C Rennen, Marc Vaisband, Jan Hasenauer

“…Mean opinion scores of FAF and IR image quality were compiled by medical readers. A regression model for predicting image quality was developed using a convolutional neural network (CNN). …”
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Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification by Abdulaziz AlMohimeed

“…Hybrid models are developed based on Transformer models: Vision Transformer (ViT), Data-efficient Image Transformer (DeiT), and Swin Transformer are used to extract deep features from images, Principal Component Analysis (PCA) is used to reduce the complexity of extracted features, and Machine Learning (ML) models are used as classifiers to enhance performance. …”
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Advancing fishery dependent and independent habitat assessments using automated image analysis: A fisheries management agency case study. by Scott N Evans, Bronson Philippa, Carlo Mattone, Nick Konzewitsch, Renae K Hovey, Marcus Sheaves, Gary A Kendrick, Lynda M Bellchambers

“…In this study, we develop and evaluate two residual network-based automatic image annotation models to process fishery specific habitat data to support ecosystem-based fisheries management in the Exmouth Gulf Prawn Managed Fishery in Western Australia. …”
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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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ACTION: Augmentation and computation toolbox for brain network analysis with functional MRI by Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu

“…Moreover, current studies usually focus on analyzing fMRI using conventional machine learning models that rely on human-engineered fMRI features, without investigating deep learning models that can automatically learn data-driven fMRI representations. In this work, we develop an open-source toolbox, called Augmentation and Computation Toolbox for braIn netwOrk aNalysis (ACTION), offering comprehensive functions to streamline fMRI analysis. …”
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Visualization Analysis of Integrating College Sports Training and Psychology into Basketball Physical Education Teaching System Based on Image Recognition Algorithm by Junzhang Cheng, Lingtao Wen, Baolei Zhang

“…On this basis, a basketball movement model based on ORB (Oriented FAST and Rotated BRIEF) local feature extraction has been proposed, and a basketball teaching visualization analysis system has been constructed. By extracting images from athletes’ videos in basketball, and using their training as a standard, tracking the frequency of their various celebration postures appearing and improving their scores in the game, corresponding feature points are extracted, and then the BP (back propagation) neural network algorithm is used to classify feature points. …”
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Metal loss defect detection and depth estimation using multi-spectral image analysis of cooling excited steel specimen with corrosion by Shamendra Egodawela, Amirali K. Gostar, H. A. D. Samith Buddika, W. A. N. I. Harischandra, A. J. Dhammika, Mojtaba Mahmoodian

“…Even though the detection of defects using imaging techniques in steel is well established, determining the severity remains difficult due to the necessity of estimating the depth information of the defect from 2-dimensional image data. …”
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Deep Learning Spinal Cord Segmentation Based on B0 Reference for Diffusion Tensor Imaging Analysis in Cervical Spondylotic Myelopathy by Shuoheng Yang, Ningbo Fei, Junpeng Li, Guangsheng Li, Yong Hu

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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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The future of precision orthopaedics: personalized data-driven practice by Deiary F. Kader, Andrew Coppola, Aditya Vijay, Andreas Fontalis, Fares S. Haddad

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The impact of brain network microstructural changes on upper limb mirror movements after stroke by Jie Dai, Zhaoqing Li, Jingyan Tao, Shuping Sun, Jianhua Li

“…ObjectiveThis study aimed to investigate the relationship between brain network microstructural changes and surface electromyographic (sEMG) signs of upper limb mirror movements (MMs) in stroke patients, focusing on the corpus callosum and bilateral corticospinal tracts (CSTs).MethodA retrospective analysis was conducted on 48 stroke patients (mean age 60.63y, range 15-83y) who underwent sEMG and diffusion tensor imaging (DTI). …”
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Artificial Intelligence in Advancing Algal Bioactive Ingredients: Production, Characterization, and Application by Bingbing Guo, Xingyu Lu, Xiaoyu Jiang, Xiao-Li Shen, Zihao Wei, Yifeng Zhang

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Image Generation and Lesion Segmentation of Brain Tumors and Stroke Based on GAN and 3D ResU-Net by Mingkang Sun, Xiang Li, Weiye Sun

“…In recent years, with the development of medical image analysis, the image processing of brain tumor and stroke has been deeply studied. …”
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Content and Genres of City Image Development in Social Media: The City of Arkhangelsk by Larisa Yu. Shchipitsina

“…The semantic, contextual, and genre analyses covered a manually selected data set (n = 2,237) for April-November 2023. The image of Arkhangelsk demonstrated a certain heterogeneity with a combination of official and unofficial images that differed in evaluation. …”

Assessing water quality environmental grades using hyperspectral images and a deep learning model: A case study in Jiangsu, China by Hongran Li, Hui Zhao, Chao Wei, Min Cao, Jian Zhang, Heng Zhang, Dongqing Yuan

“…This study addresses these limitations by leveraging hyperspectral images (HSIs) analysis and introducing a capsule network (CapsNet) model enhanced with a multidimensional integration attention (MDIA) mechanism. …”
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AI-Driven Non-Invasive Diagnosis of Diverse Medical Conditions Through Nail Image Analysis with High-Performance Ensemble Classifier by Abeer Alshiha, Wai Woo

“…In this research, the application of deep learning methods for the classification of human nail diseases using image analysis is investigated. The aim was to establish a non-invasive, automatic diagnosis tool for different nail conditions, utilizing deep convolutional neural networks (CNNs) for feature extraction. …”
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A Synergistic Approach Using Photoacoustic Spectroscopy and AI-Based Image Analysis for Post-Harvest Quality Assessment of Conference Pears by Mioara Petrus, Cristina Popa, Ana Maria Bratu, Vasile Bercu, Leonard Gebac, Delia-Mihaela Mihai, Ana-Cornelia Butcaru, Florin Stanica, Ruxandra Gogot

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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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