Home / Research Supervisor Connect / Search results

Your Search Results

Visual Feature Extraction for Image Pattern Classification

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. more...

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

Semantic Feature Description and Similarity Measurement for Large-scale Image Search

This project aims to design and develop new BOF-based approaches for medical image search on large-scale imaging databases. more...

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

Computerised image analysis of musculoskeletal diagnostics and surgical planning

This research opportunity covers the projects for Diagnostic Imaging Theme of the ARC Centre for Innovative BioEngineering,  a multidisciplinary collaboration among researchers more...

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

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)

Neuroimaging Computing for Early Detection of Alzheimer’s Disease

The objective of this program is to investigate multi-modal neuroimaging data, especially the functional neuroimaging, to establish standardized computational methods for image-base more...

Supervisor(s): Cai, Tom Weidong (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)

Machine learning for visual recognition

This research project aims to develop new machine learning methods for various visual recognition tasks such as object/scene recognition, face and human gait recognition, activity r more...

Supervisor(s): Xu, Dong (Professor)

Biometrics (face recognition, human gait recognition or person re-identification)

This research project aims to develop new feature extraction and classification methods for face recognition, human gait recognition or person re-identification. more...

Supervisor(s): Xu, Dong (Professor)

Video analytics (activity and video event recognition)

This research project aims to develop new intelligent video analytics systems for understanding videos. more...

Supervisor(s): Xu, Dong (Professor)