All Outputs (3)

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.