Muhammad Bilal's Outputs (4)

Can we revitalize interventional healthcare with AI-XR surgical metaverses? (2023)
Presentation / Conference Contribution

Recent advancements in technology, particularly in machine learning (ML), deep learning (DL), and the metaverse, offer great potential for revolutionizing surgical science. The combination of artificial intelligence and extended reality (AI-XR) techn... Read More about Can we revitalize interventional healthcare with AI-XR surgical metaverses?.

Deep learning-based multi-target regression for traffic-related air pollution forecasting (2023)
Journal Article

Traffic-related air pollution (TRAP) remains one of the main contributors to urban pollution and its impact on climate change cannot be overemphasised. Experts in developed countries strive to make optimal use of traffic and air qua... Read More about Deep learning-based multi-target regression for traffic-related air pollution forecasting.

SegCrop: Segmentation-based dynamic cropping of endoscopic videos to address label leakage in surgical tool detection (2023)
Presentation / Conference Contribution

In recent times, surgical data science has emerged as an important research discipline in interventional healthcare. There are many potential applications for analysing endoscopic surgical videos using machine learning (ML) techniques such as surgica... Read More about SegCrop: Segmentation-based dynamic cropping of endoscopic videos to address label leakage in surgical tool detection.

Privacy-preserving artificial intelligence in healthcare: Techniques and applications (2023)
Journal Article

There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. Despite substantial research worldwide, very... Read More about Privacy-preserving artificial intelligence in healthcare: Techniques and applications.