Outputs (17)

Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video (2022)
Presentation / Conference Contribution
Zhang, X., Zhang, H., & Shum, H. P. (2022, September). Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video. Presented at MICCAI '22: The 25th International Conference on Medical Image Computing and Computer Assisted Intervention, Singapore

Parkinson’s disease (PD) is a progressive neurodegenerative disorder that results in a variety of motor dysfunction symptoms, including tremors, bradykinesia, rigidity and postural instability. The diagnosis of PD mainly relies on clinical experience... Read More about Pose-based Tremor Classification for Parkinson’s Disease Diagnosis from Video.

MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray (2022)
Presentation / Conference Contribution
Corona-Figueroa, A., Frawley, J., Bond-Taylor, S., Bethapudi, S., Shum, H. P., & Willcocks, C. G. (2022, July). MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray. Presented at 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Glasgow, Scotland

Computed tomography (CT) is an effective med-ical imaging modality, widely used in the field of clinical medicine for the diagnosis of various pathologies. Advances in Multidetector CT imaging technology have enabled additional functionalities, inclu... Read More about MedNeRF: Medical Neural Radiance Fields for Reconstructing 3D-aware CT-Projections from a Single X-ray.

Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks (2022)
Presentation / Conference Contribution
Zhang, H., Shum, H. P., & Ho, E. S. (2022, July). Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks. Presented at 2022 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow

Early diagnosis and intervention are clinically considered the paramount part of treating cerebral palsy (CP), so it is essential to design an efficient and interpretable automatic prediction system for CP. We highlight a significant difference betwe... Read More about Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks.

Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation (2022)
Journal Article
Crosato, L., Shum, H. P., Ho, E. S., & Wei, C. (2023). Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation. IEEE Transactions on Intelligent Vehicles, 8(2), 1339-1349. https://doi.org/10.1109/tiv.2022.3189836

Motion control algorithms in the presence of pedestrians are critical for the development of safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on manually designed decision-making policies which neglect the mutua... Read More about Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation.

Formation Control for UAVs Using a Flux Guided Approach (2022)
Journal Article
Hartley, J., Shum, H. P., Ho, E. S., Wang, H., & Ramamoorthyd, S. (2022). Formation Control for UAVs Using a Flux Guided Approach. Expert Systems with Applications, 205, Article 117665. https://doi.org/10.1016/j.eswa.2022.117665

Existing studies on formation control for unmanned aerial vehicles (UAV) have not considered encircling targets where an optimum coverage of the target is required at all times. Such coverage plays a critical role in many real-world applications such... Read More about Formation Control for UAVs Using a Flux Guided Approach.

RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis (2022)
Journal Article
Organisciak, D., Shum, H. P., Nwoye, E., & Woo, W. L. (2022). RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis. Expert Systems with Applications, 201, Article 117158. https://doi.org/10.1016/j.eswa.2022.117158

Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control symptoms. Deep learning has recently become a popular way to analyse and interpret medical data. P... Read More about RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis.

360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network (2022)
Presentation / Conference Contribution
Feng, Q., Shum, H. P., & Morishima, S. (2022, March). 360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network. Presented at IEEE Conference on Virtual Reality and 3D User Interfaces, Christchurch, New Zealand

Single-view depth estimation from omnidirectional images has gained popularity with its wide range of applications such as autonomous driving and scene reconstruction. Although data-driven learning-based methods demonstrate significant potential in t... Read More about 360 Depth Estimation in the Wild - The Depth360 Dataset and the SegFuse Network.