62 citations · 65 across the 9 of their papers we have counts for
9 papers
S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography
Yuhan Song, Nak Young Chong
Ultrasound imaging is pivotal in various medical diagnoses due to its non-invasive nature and safety. In clinical practice, the accuracy and precision of ultrasound image analysis…
S3M: Semantic Segmentation Sparse Mapping for UAVs with RGB-D Camera
Thanh Nguyen Canh, Van-Truong Nguyen, Xiem HoangVan +2
Unmanned Aerial Vehicles (UAVs) hold immense potential for critical applications, such as search and rescue operations, where accurate perception of indoor environments is paramoun…
Object-Oriented Semantic Mapping for Reliable UAVs Navigation
Thanh Nguyen Canh, Armagan Elibol, Nak Young Chong +1
To autonomously navigate in real-world environments, special in search and rescue operations, Unmanned Aerial Vehicles (UAVs) necessitate comprehensive maps to ensure safety. Howev…
Abdominal Multi-Organ Segmentation Based on Feature Pyramid Network and Spatial Recurrent Neural Network
Yuhan Song, Armagan Elibol, Nak Young Chong
As recent advances in AI are causing the decline of conventional diagnostic methods, the realization of end-to-end diagnosis is fast approaching. Ultrasound image segmentation is a…
Does Deep Learning REALLY Outperform Non-deep Machine Learning for Clinical Prediction on Physiological Time Series?
Ke Liao, Wei Wang, Armagan Elibol +3
Machine learning has been widely used in healthcare applications to approximate complex models, for clinical diagnosis, prognosis, and treatment. As deep learning has the outstandi…
Mean Spectral Normalization of Deep Neural Networks for Embedded Automation
Anand Krishnamoorthy Subramanian, Nak Young Chong
Deep Neural Networks (DNNs) have begun to thrive in the field of automation systems, owing to the recent advancements in standardising various aspects such as architecture, optimiz…