266 citations · 1.1k across the 69 of their papers we have counts for
11 papers · 1 filter
In-Bed Human Pose Estimation from Unseen and Privacy-Preserving Image Domains
Ting Cao, Mohammad Ali Armin, Simon Denman +2
Medical applications have benefited greatly from the rapid advancement in computer vision. Considering patient monitoring in particular, in-bed human posture estimation offers impo…
Multi-Slice Net: A novel light weight framework for COVID-19 Diagnosis
Harshala Gammulle, Tharindu Fernando, Sridha Sridharan +2
This paper presents a novel lightweight COVID-19 diagnosis framework using CT scans. Our system utilises a novel two-stage approach to generate robust and efficient diagnoses acros…
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman +2
With the remarkable success of representation learning for prediction problems, we have witnessed a rapid expansion of the use of machine learning and deep learning for the analysi…
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings
Tharindu Fernando, Sridha Sridharan, Simon Denman +2
This paper proposes a novel framework for lung sound event detection, segmenting continuous lung sound recordings into discrete events and performing recognition on each event. Exp…
Video-Based Inpatient Fall Risk Assessment: A Case Study
Ziqing Wang, Mohammad Ali Armin, Simon Denman +2
Inpatient falls are a serious safety issue in hospitals and healthcare facilities. Recent advances in video analytics for patient monitoring provide a non-intrusive avenue to reduc…
Towards Interpretable Attention Networks for Cervical Cancer Analysis
Ruiqi Wang, Mohammad Ali Armin, Simon Denman +2
Recent advances in deep learning have enabled the development of automated frameworks for analysing medical images and signals, including analysis of cervical cancer. Many previous…