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Background: Assisted partner services (APSs; sometimes called index testing) are now being brought to scale as a high-yield HIV testing strategy in many nations. However, the success of APSs is often hampered by low levels of partner elicitation. The Computer-Assisted Self-Interview (CASI)-Plus study sought to develop and test a mobile health (mHealth) tool to increase the elicitation of sexual and needle-sharing partners among persons with newly diagnosed HIV.
View Article and Find Full Text PDFA feature-based approach for atlas selection in automatic pelvic segmentation.
PLoS One
January 2025
Department of Radiation Physics, Zhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, China.
Accurate and efficient automatic segmentation is essential for various clinical tasks such as radiotherapy treatment planning. However, atlas-based segmentation still faces challenges due to the lack of representative atlas dataset and the computational limitations of deformation algorithms. In this work, we have proposed an atlas selection procedure (subset atlas grouping approach, MAS-SAGA) which utilized both image similarity and volume features for selecting the best-fitting atlases for contour propagation.
View Article and Find Full Text PDFSAASNets: Shared attention aggregation Siamese networks for building change detection in multispectral remote sensing.
PLoS One
January 2025
Zhanhua District Power Supply Company, Binzhou, China.
Interfered by external factors, the receptive field limits the traditional CNN multispectral remote sensing building change detection method. It is difficult to obtain detailed building changes entirely, and redundant information is reused in the encoding stage, which reduces the feature representation and detection performance. To address these limitations, we design a Siamese network of shared attention aggregation to learn the detailed semantics of buildings in multispectral remote sensing images.
View Article and Find Full Text PDFImage-guided Interventions for Core Muscle Injury and Other Disorders in the Pubic Symphysis.
Radiographics
February 2025
Department of Medical Imaging, The Ottawa Hospital, 501 Smyth Rd, Ottawa, ON, Canada K1H 8L6 (D.V.F., J.L.); Department of Radiology, Radiation Oncology and Medical Physics, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada (D.V.F., J.L.); Ottawa Hospital Research Institute, Ottawa, Ontario, Canada (D.V.F., J.L.); and Department of Radiology, St. Paul's Hospital, University of British Columbia, Vancouver, British Columbia, Canada (T.M.).
Formerly termed or , core muscle injury (CMI) encompasses abnormality of structures within the so-called core, which is essentially the hip, abdomen, and pubis. Compared with data on image-guided procedures of other joints, information regarding procedures performed to address CMI and other disorders of the pubic symphysis is lacking. These procedures can be daunting given the joint's small size, surrounding critical neurovascular structures, and three-dimensional anatomy.
View Article and Find Full Text PDFA comprehensive benchmarking for evaluating TCR embeddings in modeling TCR-epitope interactions.
Brief Bioinform
November 2024
Department of Computer Science, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong, 999077, China.
The complexity of T cell receptor (TCR) sequences, particularly within the complementarity-determining region 3 (CDR3), requires efficient embedding methods for applying machine learning to immunology. While various TCR CDR3 embedding strategies have been proposed, the absence of their systematic evaluations created perplexity in the community. Here, we extracted CDR3 embedding models from 19 existing methods and benchmarked these models with four curated datasets by accessing their impact on the performance of TCR downstream tasks, including TCR-epitope binding affinity prediction, epitope-specific TCR identification, TCR clustering, and visualization analysis.
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