Outputs (32)

Effect of Freezing and Fixation on Quantitative Ultrasound Parameters in Phantoms of Brain and Brain Tumour (2020)
Presentation / Conference Contribution
Thomson, H., Yang, S., Cochran, S., Stritch, T., & Baldwin, M. (2020). Effect of Freezing and Fixation on Quantitative Ultrasound Parameters in Phantoms of Brain and Brain Tumour. In 2020 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10

Quantitative ulltrasound (QUS) analyzes unprocessed radio frequency data from an ultrasound transducer or array and infers properties about tissue microstructure. Whilst it has shown success in diagnosing various soft tissue diseases, there have been... Read More about Effect of Freezing and Fixation on Quantitative Ultrasound Parameters in Phantoms of Brain and Brain Tumour.

Deep Compressed Sensing for Characterizing Inflammation Severity with Microultrasound (2020)
Presentation / Conference Contribution
Yang, S., Lemke, C., Cox, B. F., Newton, I. P., Cochran, S., & Nathke, I. (2020). Deep Compressed Sensing for Characterizing Inflammation Severity with Microultrasound. In 2020 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10.1109/ius46

With histological information on inflammation status as the ground truth, deep learning methods can be used as a classifier to distinguish different stages of bowel inflammation based on microultrasound (μUS) B-scan images. However, it is extremely t... Read More about Deep Compressed Sensing for Characterizing Inflammation Severity with Microultrasound.

A Learning-Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract (2020)
Journal Article
Yang, S., Lemke, C., Cox, B. F., Newton, I. P., Näthke, I., & Cochran, S. (2021). A Learning-Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract. IEEE Transactions on Medical Imaging, 40(1), 38-47. https://doi.org

Inflammation of the gastrointestinal (GI) tract accompanies several diseases, including Crohn's disease. Currently, video capsule endoscopy and deep bowel enteroscopy are the main means for direct visualisation of the bowel surface. However, the use... Read More about A Learning-Based Microultrasound System for the Detection of Inflammation of the Gastrointestinal Tract.

Hierarchical Radar Data Analysis for Activity and Personnel Recognition (2020)
Journal Article
Li, X., Li, Z., Fioranelli, F., Yang, S., Romain, O., & Kernec, J. L. (2020). Hierarchical Radar Data Analysis for Activity and Personnel Recognition. Remote Sensing, 12(14), Article 2237. https://doi.org/10.3390/rs12142237

Radar-based classification of human activities and gait have attracted significant attention with a large number of approaches proposed in terms of features and classification algorithms. A common approach in activity classification attempts to find... Read More about Hierarchical Radar Data Analysis for Activity and Personnel Recognition.

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy (2020)
Journal Article
Ali, S., Zhou, F., Braden, B., Bailey, A., Yang, S., Cheng, G., …Rittscher, J. (2020). An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy. Scientific Reports, 10(1), Article 2748 (2020). https://doi.org/

We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art comput... Read More about An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy.

A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life (2019)
Journal Article
Abdur Rahman, M., Rashid, M. M., Le Kernec, J., Philippe, B., Barnes, S. J., Fioranelli, F., …Imran, M. (2019). A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life. Sensors, 19(23), Article 5258. https://doi.org/10.

Once diagnosed with cancer, a patient goes through a series of diagnosis and tests, which are referred to as “after cancer treatment”. Due to the nature of the treatment and side effects, maintaining quality of life (QoL) in the home environment is a... Read More about A Secure Occupational Therapy Framework for Monitoring Cancer Patients’ Quality of Life.

Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity patterns (2019)
Journal Article
Fioranelli, D. F., Shah, D. S. A., Li1, H., Shrestha, A., Yang, D. S., & Kernec, D. J. L. (2019). Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity pat

Although traditionally associated with defence and security domains, radar sensing has attracted significant interest in recent years in healthcare applications. These include the monitoring of vital signs such as respiration, heartbeat, and blood pr... Read More about Radar sensing for healthcare: Associate Editor Francesco Fioranelli on the applications of radar in monitoring vital signs and recognising human activity patterns.

A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks (2019)
Journal Article
Bassoy, S., Imran, M. A., Yang, S., & Tafazolli, R. (2019). A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks. IEEE Access, 7, 92693-92708. https://doi.org/10.1109/access.2019.2927093

Coordinated multi-point (CoMP) transmission is one of the key features for long term evolution advanced (LTE-A) and a promising concept for interference mitigation in 5th generation (5G) and beyond future densely deployed wireless networks. Due to th... Read More about A Load-Aware Clustering Model for Coordinated Transmission in Future Wireless Networks.

Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers (2018)
Presentation / Conference Contribution
Loukas, C., Fioranelli, F., Le Kernec, J., & Yang, S. (2018). Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers. In 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pe

This paper presents the first initial results of using radar raw I & Q data and range profiles combined with Long Short Term Memory layers to classify human activities. Although tested only on simple classification problems, this is an innovative app... Read More about Activity Classification Using Raw Range and I & Q Radar Data with Long Short Term Memory Layers.

Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests (2018)
Journal Article
Lin, Y., Le Kernec, J., Yang, S., Fioranelli, F., Romain, O., & Zhao, Z. (2018). Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests. IEEE Sensors Journal, 1

The accurate classification of activity patterns based on radar signatures is still an open problem and is a key to detect anomalous behavior for security and health applications. This paper presents a novel iterative convolutional neural network str... Read More about Human Activity Classification With Radar: Optimization and Noise Robustness With Iterative Convolutional Neural Networks Followed With Random Forests.