Rapid ecological data collection from 360‐degree imagery using visualisation and immersive sampling in the R pannotator package by Robert Godfree, Nunzio Knerr

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Quantitative assessment of the ischemic damage to the brain parenchyma in patients with acute cerebrovascular accident using the Olea Sphere automated software by E. P. Yasakova, E. G. Shevchenko, V. V. Efimov, E. I. Zyablova

“…Objective: To evaluate the capabilities of the Olea Sphere automated software for the quantitative assessment of ischemic damage to the brain parenchyma during computed tomography (CT) in patients with acute cerebrovascular accident and its role in choosing the optimal treatment strategy in everyday clinical practice.Materials and methods: We retrospectively analyzed the data from 129 patients with suspected stroke who underwent perfusion CT within 24 hours of admission to the hospital. …”
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Lightweight Brain Tumor Segmentation Through Wavelet-Guided Iterative Axial Factorization Attention by Yueyang Zhong, Shuyi Wang, Yuqing Miao, Tao Zhang, Haoliang Li

“…Simultaneously, the iterative axial factorization attention reduces the computational burden of 3D spatial modeling by processing attention sequentially along individual axes, preserving long-range interdependence while consuming minimal resources. …”
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SulfideNet: Deep Learning for Detection and Quantification of Iron Sulfides in Drill Core Scans by Maral Rasoolijaberi, Chuiqing Zeng, John Manchuk, Michelle Legat, Abigail Jackson-Gain

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Lung Volume and Pneumatization Changes in Children in Early Post-Surgical Period After Correction of Severe Neuromuscular Scoliosis Complicated with Respiratory Failure: Cohort Stu... by Anna V. Makarova, Mudhar A.А. Alshaowa, Оlga S. Maslak, Аlexandr Yu. Mushkin

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Age estimation from morphometric features of maxillary central incisors using CBCT images by Sara Hilmi Kazzaz, Tavga Mustafa Faris, Miwan Salahalddin Abdulrahman, Mohammed Taha Ahmed Baban, Ranjdar Mahmood Talabani, Kazhan Omer Abdalrahman

“…Abstract Background Forensic dentistry is crucial in human identification, with dental age estimation being a key component of this process. The deposition of secondary dentin over an individual’s lifetime, along with the resulting changes in tooth anatomy, serves as an important factor in age estimation. …”
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Evaluation of MRI-based synthetic CT for lumbar degenerative disease: a comparison with CT by Ziwei Jiang, Yuhang Zhu, Wei Wang, Zongbao Li, Yunxi Li, Mengchao Zhang

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Current aspects of diagnostics and surgical treatment of acute lung abscesses by V. I. Pertsov, S. I. Savchenko

“…The sensitivity and specificity of computed tomography was 64.3 % and 100.0 %, sonography – 85.7 % and 92.3 %, respectively, in the study. …”
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Evaluating enrichment use in group-housed rhesus macaques (Macaca mulatta): A machine learning approach by Giulia Ciminelli, Claire Witham, Melissa Bateson

“…To streamline the time-intensive task of assessing enrichment programmes we automated the evaluation process by using machine learning technologies. We built two computer vision-based pipelines to evaluate monkeys’ interactions with different enrichment items: a white drum containing raisins and a non-food-based puzzle. …”
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Neuroimaging informatics framework for analyzing rare brain metastasis patterns in pleural mesothelioma using hybrid PET CT by Sumit Kumar Agrawal, Indra Prakash Dubey, Anoop Kumar Nair, Anurag Jain, Abhishek Mahato, Rajeev Kumar

“…Our methodology combines sophisticated neuroinformatics technologies with AI-driven image processing algorithms to improve hybrid PET-CT scans' spatial and metabolic resolution. …”
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Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning by Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, Joao Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Claudio Silva

“…Concurrent with improved sensor resolutions, recent advancements in machine learning and computer vision have made it possible to quickly extract features from and detect patterns in image data, in the process correlating these features with other information. …”
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Measurement of the accuracy of dental working casts using a coordinate measuring machine by Potran Michal, Štrbac Branko, Puškar Tatjana, Hadžistević Miodrag, Hodolič Janko, Trifković Branka

“…Casting an accurate and precise working cast presents the first and very important step, since each of the following stages contributes to the overall error of the production process, which can lead to inadequately fitting dental restorations. …”
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Automating field‐based floral surveys with machine learning by Nicholas Sookhan, Shane Sookhan, Devlin Grewal, J. Scott MacIvor

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A novel model of artificial intelligence based automated image analysis of CT urography to identify bladder cancer in patients investigated for macroscopic hematuria by Suleiman Abuhasanein, Lars Edenbrandt, Olof Enqvist, Staffan Jahnson, Henrik Leonhardt, Elin Trägårdh, Johannes Ulén, Henrik Kjölhede

“…Following the optimisation process, we developed the last version of our AI model. …”
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Differences in risk factors associated with the initiation and progression of mitral annular calcification in asymptomatic individuals by Kyung An Kim, Hae-Ok Jung, So-Young Lee, Yuran Ahn, Mi-Hyang Jung, Woo-Baek Chung, Dong-Hyeon Lee, Ho-Joong Youn, Donghee Han, Hyuk-Jae Chang

“…Using the KOrea Initiatives on Coronary Artery (KOICA) registry, 738 asymptomatic individuals who underwent health screening with echocardiography and serial cardiac computed tomography (CT) were included for analysis. …”
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Deep learning-based sow posture classifier using colour and depth images by Verônica Madeira Pacheco, Tami M. Brown-Brandl, Rafael Vieira de Sousa, Gary A. Rohrer, Sudhendu Raj Sharma, Luciane Silva Martello

“…These models can be integrated into computer vision systems to automatically characterise sow behavior.…”
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ASSESSMENT OF THE INFLUENCE OF MODERN CRUSTAL MOVEMENTS AND THE RECENTLY ACTIVATED PRECAMBRIAN STRUCTURAL PLAN ON THE RELIEF OF THE LAKE LADOGA REGION (THE SOUTHEASTERN BALTIC SHIE... by A. O. Agibalov, V. A. Zaytsev, A. A. Sentsov, A. S. Devyatkina

“…It presents the results of comprehensive studies, including processing of the regional geological and geomorphological data by the modern methods, as the major novelty of our work. …”
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Web‐based application for threatened woodland caribou population modeling by Daniel R. Eacker, Mark Hebblewhite, Robin Steenweg, Mike Russell, Amy Flasko, Dave Hervieux

“…We provide example data, computer code, the web‐based application package, and a user manual to guide installation and use. …”
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Employing the Artificial Intelligence Object Detection Tool YOLOv8 for Real-Time Pain Detection: A Feasibility Study by Cascella M, Shariff MN, Lo Bianco G, Monaco F, Gargano F, Simonini A, Ponsiglione AM, Piazza O

“…Images showing these AUs with a PSPI score above 2 were labeled as expressing pain. The manual labeling process utilized an open-source tool, makesense.ai, to ensure precise annotation. …”
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Category semantic and global relation distillation for object detection by Yanpeng LIANG, Zhonggui MA, Zongjie WANG, Zhuo LI

“…Object detection, a fundamental task in computer vision, has witnessed remarkable success in domains such as autonomous driving, robotics, and facial recognition, owing to advancements in convolutional neural networks. …”
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