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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)

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)

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)

Evaluating Blockchain Systems

The goal of this project is to evaluate the properties of existing blockchain protocols and to propose new building blocks for dedicated applications. more...

Supervisor(s): Gramoli, Vincent (Dr)

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)

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)

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)

Machine learning in Multiscale Image-Omics

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)

Geometric Networks in the Presence of Obstacles

This research project aims to discover properties of geometric networks in the presence of obstacles. These properties will be used to design improved geometric networks and facilit more...

Supervisor(s): vanRenssen, Andre (Dr)

Routing in Geometric Networks

This research project aims to compare a number of routing algorithms developed for geometric networks. Some of these algorithms come with theoretical guarantees, but we aim to see w more...

Supervisor(s): vanRenssen, Andre (Dr)