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Unsupervised segmentation of heart sounds from abrupt changes detection.
Comput Biol Med
January 2025
Univ. Grenoble Alpes, CNRS, CHU Grenoble Alpes, Grenoble INP, TIMC-IMAG, La Tronche, France.
Background And Objective: Heart auscultation enables early diagnosis of cardiovascular diseases. Automated segmentation of cardiograms into fundamental heart states can guide physicians to analyze the patient's condition more effectively. In this work, we propose an unsupervised method of segmentation into heart sounds and silences based on the detection of abrupt changes in the signal.
View Article and Find Full Text PDFCross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation.
Sensors (Basel)
January 2025
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Aiming at the problems caused by a lack of feature matching due to occlusion and fixed model parameters in cross-domain person re-identification, a method based on multi-branch pose-guided occlusion generation is proposed. This method can effectively improve the accuracy of person matching and enable identity matching even when pedestrian features are misaligned. Firstly, a novel pose-guided occlusion generation module is designed to enhance the model's ability to extract discriminative features from non-occluded areas.
View Article and Find Full Text PDFIdentification and Immunological Characterization of Cuproptosis Related Genes in Preeclampsia Using Bioinformatics Analysis and Machine Learning.
J Clin Hypertens (Greenwich)
January 2025
College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fuzhou, Fujian, China.
Preeclampsia (PE) is a pregnancy-specific disorder characterized by an unclearly understood pathogenesis and poses a great threat to maternal and fetal safety. Cuproptosis, a novel form of cellular death, has been implicated in the advancement of various diseases. However, the role of cuproptosis and immune-related genes in PE is unclear.
View Article and Find Full Text PDFBenchmarking of Multispectral Pansharpening: Reproducibility, Assessment, and Meta-Analysis.
J Imaging
December 2024
Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.
The term pansharpening denotes the process by which the geometric resolution of a multiband image is increased by means of a co-registered broadband panchromatic observation of the same scene having greater spatial resolution. Over time, the benchmarking of pansharpening methods has revealed itself to be more challenging than the development of new methods. Their recent proliferation in the literature is mostly due to the lack of a standardized assessment.
View Article and Find Full Text PDFCurrent Status and Future Directions of Artificial Intelligence in Post-Traumatic Stress Disorder: A Literature Measurement Analysis.
Behav Sci (Basel)
December 2024
Department of Digital Media Art, School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China.
This study aims to explore the current state of research and the applicability of artificial intelligence (AI) at various stages of post-traumatic stress disorder (PTSD), including prevention, diagnosis, treatment, patient self-management, and drug development. We conducted a bibliometric analysis using software tools such as Bibliometrix (version 4.1), VOSviewer (version 1.
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