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Intelligent Multimodality Molecular Image Segmentation

Automated segmentation of major structures, tissues, and volume of interest (VOI) from PET/CT images new knowledge from information technologies. more...

Supervisor(s): Feng, David (Professor)

Multimodality Medical Image Segmentation

Automated delineation of tissues, organs and hot-spot volumes from medical images by adaptively using the complementary information from multiple imaging modalities more...

Supervisor(s): Feng, David (Professor), Xia, Yong (Dr)

Image Representation using Multi-dimensional Biomedical Functional and Anatomical Features

Use of image-derived features to represent the complex images volumes for data management and image understanding. more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Discovery of new image-derived features for computer-aided diagnosis

Discovery of new image-derived features and achievement of better diagnosis for specific disorders. more...

Supervisor(s): Feng, David (Professor), Wen, Lingfeng (Dr)

Medical Image Analysis with Machine Learning Techniques

Develop artificial intelligence for computer-assisted diagnosis from medical scans. more...

Supervisor(s): Zhou, Luping (Dr)

Multi-dimensional Biomedical Data Visualization

Efficient visualization of multi-dimensional and multi-modal biomedical images for image interpretation and diagnosis. more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Feature-Centric Content Analysis for Bioimaging Informatics

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 cel more...

Supervisor(s): Cai, Tom Weidong (Associate Professor)

Disease Map - Big Data driven modelling and derivation of diseases and treatment response

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Feng, David (Professor), Kim, Jinman (Associate Professor)

Semantic-driven Multi-modal Biomedical Data Visualisation

BMIT excels at addressing bio-inspired and other real-world challenges with core computing and information technology research in image processing and informatics, computer vision, more...

Supervisor(s): Kim, Jinman (Associate Professor), Feng, David (Professor)

Deformable Registration for Temporal Lung Volumes

Integration and comparison heterogeneous information embedded in the multi-modal imaging data volumes acquired from multiple times for detecting lung disease at early stage and acce more...

Supervisor(s): Feng, David (Professor), Wang, Xiu Ying (Dr)