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Mediation role of anxiety on social support and depression among diabetic patients in elderly caring social organizations in China during COVID-19 pandemic: a cross-sectional study (2023)
Journal Article
Zhao, L., Xu, F., Zheng, X., Xu, Z., Osten, B., Ji, K., …Chen, R. (2023). Mediation role of anxiety on social support and depression among diabetic patients in elderly caring social organizations in China during COVID-19 pandemic: a cross-sectional study. BMC Geriatrics, 23(1), Article 790. https://doi.org/10.1186/s12877-023-04502-z

Background: Diabetes has become a prominent global public health problem, which is an important cause of death, disease burden, and medical and health economic burden. Previous studies have reported that majority of persons diagnosed with diabetes la... Read More about Mediation role of anxiety on social support and depression among diabetic patients in elderly caring social organizations in China during COVID-19 pandemic: a cross-sectional study.

Learning based motion artifacts processing in fNIRS: a mini review (2023)
Journal Article
Zhao, Y., Luo, H., Chen, J., Loureiro, R., Yang, S., & Zhao, H. (2023). Learning based motion artifacts processing in fNIRS: a mini review. Frontiers in Neuroscience, 17, Article 1280590. https://doi.org/10.3389/fnins.2023.1280590

This paper provides a concise review of learning-based motion artifacts (MA) processing methods in functional near-infrared spectroscopy (fNIRS), highlighting the challenges of maintaining optimal contact during subject movement, which can lead to MA... Read More about Learning based motion artifacts processing in fNIRS: a mini review.

Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices (2023)
Conference Proceeding
Zang, Z., Dolinsky, U., Ghiglio, P., Cherubin, S., Goli, M., & Yang, S. (2023). Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices. In 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL) (351-352). https://doi.org/10.1109/FPL60245.2023.00062

Multi-Level Intermediate Representation (MLIR) is gaining increasing attention in reconfigurable hardware communities due to its capability to represent various abstract levels for software compilers. This project aims to be the first to provide an e... Read More about Building a Reusable and Extensible Automatic Compiler Infrastructure for reconfigurable devices.

A holistic human activity recognition optimisation using AI techniques (2023)
Journal Article
Li, Z., Liu, Y., Liu, B., Le Kernec, J., & Yang, S. (2024). A holistic human activity recognition optimisation using AI techniques. IET Radar, Sonar & Navigation, 18(2), 256-265. https://doi.org/10.1049/rsn2.12474

Building on previous radar-based human activity recognition (HAR), we expand the micro-Doppler signature to 6 domains and exploit each domain with a set of handcrafted features derived from the literature and our patents. An adaptive thresholding met... Read More about A holistic human activity recognition optimisation using AI techniques.

FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms (2023)
Presentation / Conference
Zhao, Y., Xia, Y., Loureiro, R., Zhao, H., Dolinsky, U., & Yang, S. (2023, September). FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms. Poster presented at FPL 2023: 33rd International Conference on Field-Programmable Logic and Applications, Gothenburg, Sweden

This demonstration showcases a novel FPGA development pipeline for developing a low-power and real-time motion artefact detection module for a wearable functional near-Infrared spectroscopy (fNIRS) processing system. We provide a brief overview of th... Read More about FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms.

A Fast Optical Coherence Tomography Angiography Image Acquisition and Reconstruction Pipeline for Skin Application (2023)
Journal Article
Liao, J., Yang, S., Zhang, T., Li, C., & Huang, Z. (2023). A Fast Optical Coherence Tomography Angiography Image Acquisition and Reconstruction Pipeline for Skin Application. Biomedical Optics Express, 14(8), 3899-3913. https://doi.org/10.1364/BOE.486933

Traditional high-quality OCTA images require multi-repeated scans (e.g., 4-8 repeats) in the same position, which may cause the patient to be uncomfortable. We propose a deep-learning-based pipeline that can extract high-quality OCTA images from only... Read More about A Fast Optical Coherence Tomography Angiography Image Acquisition and Reconstruction Pipeline for Skin Application.

The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional study (2023)
Journal Article
Ding, S., Liu, G., Xu, F., Ji, K., Zhao, L., Zheng, X., …Chen, R. (2023). The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional study. BMC Public Health, 23(1), Article 1206. https://doi.org/10.1186/s12889-023-15951-x

Background: With the deepening of China’s aging population, higher demands have been placed on the supply of elderly care services. As one of the main sources of providing elderly care services, the quality of service provided by elderly caring socia... Read More about The satisfaction of elderly people with elderly caring social organizations and its relationship with social support and anxiety during the COVID-19 pandemic: a cross-sectional study.

A hand‐held optical coherence tomography angiography scanner based on angiography reconstruction transformer networks (2023)
Journal Article
Liao, J., Yang, S., Zhang, T., Li, C., & Huang, Z. (2023). A hand‐held optical coherence tomography angiography scanner based on angiography reconstruction transformer networks. Journal of Biophotonics, 16(9), Article e202300100. https://doi.org/10.1002/jbio.202300100

Optical coherence tomography angiography (OCTA) has successfully demonstrated its viability for clinical applications in dermatology. Due to the high optical scattering property of skin, extracting high‐quality OCTA images from skin tissues requires... Read More about A hand‐held optical coherence tomography angiography scanner based on angiography reconstruction transformer networks.

Review of recent advances in frequency-domain near-infrared spectroscopy technologies (2023)
Journal Article
Zhou, X., Xia, Y., Uchitel, J., Collins-Jones, L., Yang, S., Loureiro, R., …Zhao, H. (2023). Review of recent advances in frequency-domain near-infrared spectroscopy technologies. Biomedical Optics Express, 14(7), 3234-3258. https://doi.org/10.1364/BOE.484044

Over the past several decades, near-infrared spectroscopy (NIRS) has become a popular research and clinical tool for non-invasively measuring the oxygenation of biological tissues, with particular emphasis on applications to the human brain. In most... Read More about Review of recent advances in frequency-domain near-infrared spectroscopy technologies.

Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset (2023)
Conference Proceeding
Zhao, Y., Xia, Y., Loureiro, R., Zhao, H., Dolinsky, U., & Yang, S. (2023). Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset. In IWOCL '23: Proceedings of the 2023 International Workshop on OpenCL. https://doi.org/10.1145/3585341.3585380

Machine Learning has potential applications across a wide spectrum of devices. However, current approaches for domain-specific accelerators have encountered difficulties in satisfying the most recent computational demands for machine learning applica... Read More about Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset.

Radar-based Human Activity Recognition with Adaptive Thresholding towards Resource Constrained Platforms (2023)
Journal Article
Li, Z., Le Kernec, J., Abbasi, Q., Fioranelli, F., Yang, S., & Romain, O. (2023). Radar-based Human Activity Recognition with Adaptive Thresholding towards Resource Constrained Platforms. Scientific Reports, 13, Article 3473. https://doi.org/10.1038/s41598-023-30631-x

Radar systems are increasingly being employed in healthcare applications for human activity recognition due to their advantages in terms of privacy, contactless sensing, and insensitivity to lighting conditions. The proposed classification algorithms... Read More about Radar-based Human Activity Recognition with Adaptive Thresholding towards Resource Constrained Platforms.

The Human Activity Radar Challenge: benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University (2023)
Journal Article
Yang, S., Kernec, J. L., Romain, O., Fioranelli, F., Cadart, P., Fix, J., …Jin, T. (2023). The Human Activity Radar Challenge: benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University. IEEE Journal of Biomedical and Health Informatics, 27(4), 1813-1824. https://doi.org/10.1109/jbhi.2023.3240895

Radar is an extremely valuable sensing technology for detecting moving targets and measuring their range, velocity, and angular positions. When people are monitored at home, radar is more likely to be accepted by end-users, as they already use WiFi,... Read More about The Human Activity Radar Challenge: benchmarking based on the ‘Radar signatures of human activities’ dataset from Glasgow University.

Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures (2022)
Conference Proceeding
Zheng, C., Zhen, C., Xie, H., & Yang, S. (2022). Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures. In 2022 IEEE Conference on Dependable and Secure Computing (DSC). https://doi.org/10.1109/dsc54232.2022.9888828

Reinforcement Learning (RL) is one of the most popular methods for solving complex sequential decision-making problems. Deep RL needs careful sensing of the environment, selecting algorithms as well as hyper-parameters via soft agents, and simultaneo... Read More about Towards Secure Multi-Agent Deep Reinforcement Learning: Adversarial Attacks and Countermeasures.

Semi-supervised Representative Learning for Measuring Epidermal Thickness in Human Subjects in Optical Coherence Tomography by Leveraging Datasets from Rodent Models (2022)
Journal Article
Ji, Y., Yang, S., Zhou, K., Lu, J., Wang, R., Rocliffe, H. R., …Huang, Z. (2022). Semi-supervised Representative Learning for Measuring Epidermal Thickness in Human Subjects in Optical Coherence Tomography by Leveraging Datasets from Rodent Models. Journal of Biomedical Optics, 27(8), Article 085002. https://doi.org/10.1117/1.JBO.27.8.085002

Aim: Morphological changes in the epidermis layer are critical for the diagnosis and assessment of various skin diseases. Due to its non-invasiveness, optical coherence tomography (OCT) is a good candidate for observing microstructural changes of ski... Read More about Semi-supervised Representative Learning for Measuring Epidermal Thickness in Human Subjects in Optical Coherence Tomography by Leveraging Datasets from Rodent Models.

Thermography for Disease Detection in Livestock: A Scoping Review (2022)
Journal Article
McManus, R., Boden, L., Weir, W., Viora, L., Barker, R., Kim, Y., …Yang, S. (2022). Thermography for Disease Detection in Livestock: A Scoping Review. Frontiers in Veterinary Science, 9, Article 965622. https://doi.org/10.3389/fvets.2022.965622

Infra-red thermography (IRT) offers potential opportunities as a tool for disease detection in livestock. Despite considerable research in this area, there are no common standards or protocols for managing IRT parameters in animal disease detection r... Read More about Thermography for Disease Detection in Livestock: A Scoping Review.

Co-optimization method to improve lateral resolution in photoacoustic computed tomography (2022)
Journal Article
Zhang, Y., Yang, S., Xia, Z., Hou, R., Xu, B., Hou, L., …Xiong, J. (2022). Co-optimization method to improve lateral resolution in photoacoustic computed tomography. Biomedical Optics Express, 13(9), 4621-4636. https://doi.org/10.1364/BOE.469744

In biomedical imaging, photoacoustic computed tomography (PACT) has recently gained increased interest as this imaging technique has good optical contrast and depth of acoustic penetration. However, a spinning blur will be introduced during the image... Read More about Co-optimization method to improve lateral resolution in photoacoustic computed tomography.

Machine learning-enabled quantitative ultrasound techniques for tissue differentiation (2022)
Journal Article
Thomson, H., Yang, S., & Cochran, S. (2022). Machine learning-enabled quantitative ultrasound techniques for tissue differentiation. Journal of Medical Ultrasonics, 49, 517-528. https://doi.org/10.1007/s10396-022-01230-6

Purpose: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscattered radio-frequency ultrasound data. This paper describes how to implement the most practical QUS parameters using an ultrasound research system for t... Read More about Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

A Fast Inference Framework for Medical Image Semantic Segmentation Tasks Using Deep Learning Framework (2022)
Book Chapter
Yang, S., & Li, Y. (2022). A Fast Inference Framework for Medical Image Semantic Segmentation Tasks Using Deep Learning Framework. In C. H. Chen (Ed.), Computational Intelligence and Image Processing in Medical Applications (157-174). World Scientific Publishing. https://doi.org/10.1142/9789811257452_0010

Deep neural network powered semantic segmentation implementation has great advantages of providing accurate object detection using pixel-based classification; however, when this technique is applied within resource-constrained platforms, such as mobi... Read More about A Fast Inference Framework for Medical Image Semantic Segmentation Tasks Using Deep Learning Framework.

Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography (2022)
Journal Article
Ji, Y., Yang, S., Zhou, K., Rocliffe, H. R., Pellicoro, A., Cash, J. L., …Huang, Z. (2022). Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography. Journal of Biomedical Optics, 27(1), https://doi.org/10.1117/1.JBO.27.1.015002

Significance: In order to elucidate therapeutic treatment to accelerate wound healing, it is crucial to understand the process underlying skin wound healing, especially re-epithelialization. Epidermis and scab detection is of importance in the wound... Read More about Deep Learning Approach for Automated Thickness Measurement of Epithelial Tissue and Scab using Optical Coherence Tomography.

Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning (2021)
Journal Article
Parra-Ullauri, J. M., Garcoa-Dominguez, A., Bencomo, N., Zheng, C., Zhen, C., Boubeta-Puig, J., …Yang, S. (2022). Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning. Software and Systems Modeling, 21, 1091-1113. https://doi.org/10.1007/s10270-021-00952-4

Modern software systems are increasingly expected to show higher degrees of autonomy and self-management to cope with uncertain and diverse situations. As a consequence, autonomous systems can exhibit unexpected and surprising behaviours. This is... Read More about Event-driven Temporal Models for Explanations - ETeMoX: Explaining Reinforcement Learning.