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2.5D Graph Navigation and Interaction Techniques

This project aim to design, implement and evaluate new methods and algorithms for effective and efficient navigation and interaction with 2.5D graph layout. more...

Supervisor(s): Hong, Seok-Hee (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)

Medical Image Mining for Computer-Aided Diagnosis

Identification of valid, novel, potentially useful, and ultimately understandable pathologic patterns in large-scale medical image archives for computer-aided diagnosis more...

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

Functional Brain Image Understanding for Differential Diagnosis of Dementia

Intelligent analysis of functional brain images and extraction of pathologic patterns from large-group study for early diagnosis of dementia types more...

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

What Theory for Concurrency?

The goal of this project is to measure theoretically the concurrency one can expect out of a concurrent program for multicore.  more...

Supervisor(s): Gramoli, Vincent (Dr)

Reusable Concurrent Data Types

The goal of this project is to propose a programming paradigm to make concurrent libraries reusable by other programmers. more...

Supervisor(s): Gramoli, Vincent (Dr)

Reconfiguring Data Centers

The goal of this project is to design and implement reconfigurable distributed systems to cope with their inherent dynamism and elasticity requirements at large-scale. more...

Supervisor(s): Gramoli, Vincent (Dr)

No Hot-Spot Data Structures

The goal of this project is to design and implement novel data structure algorithms especially suited for many-core architectures. more...

Supervisor(s): Gramoli, Vincent (Dr)

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)

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)