Research Supervisor Connect. This project aims to design and develop new BOF-based approaches for medical image search on large-scale imaging databases. Masters/PHD. Content representation and management of medical imaging data is a critical step
Research Supervisor Connect. In vivo kinetic behaviour characterization and dynamic holistic mapping for efficient dual-modality whole-body molecular imaging data retrieval. N/A. Modern biomedical molecular imaging such as whole-body F-18
Research Supervisor Connect. This study aims to develop novel algorithms for content analysis in microscopic images, such as segmentation of cell nuclei, detection of certain cell structures, and tracing of cell changes over time. Such algorithms
Research Supervisor Connect. Intelligent object-based characterization and extraction of pathologic volumetric texture patterns for biomedical image classification and retrieval. N/A. Texture is a powerful discriminating visual feature which has
Research Supervisor Connect. The objective of this program is to investigate multi-modal neuroimaging data, especially the functional neuroimaging, to establish standardized computational methods for image-based early detection for Alzheimer's
Research Supervisor Connect. This study aims to investigate the various techniques of image feature extraction, and to develop new methodologies for various applications in the medical imaging domain. Masters/PHD. Image pattern classification has a
Research Supervisor Connect. Efficient content-based image retrieval and management for fully exploiting massive and complex multi-dimensional biomedical imaging data. N/A. Healthcare services today rely heavily on diverse biomedical imaging data