Optical biomedical imaging & spectroscopy, fMRI, Computer-aided diagnosis, bioinformatics, health informatics, telemedicine
The Laser Metrology and Biomedicine (LAMB) Group works on using light for high-sensitivity quantitative biomedical imaging and spectroscopy. Our current focuses are
- Developing label-free high-throughput 3D image cytometry systems for stem cell identification and sorting during differentiation, circulating tumor cell enrichment, and nucleus mechanics assays
- Building highly sensitive interferometric microscopes for mapping neural-network activities and cell migration
Prof. Xiaogang WANG’s Research Areas:
- Learning Deep Representation with Large-scale Attributes, DeepID-Net,
- Joint Deep Learning for Pedestrian Detection,
- Multi-task Recurrent Neural Network for Immediacy Prediction,
- A Discriminative Deep Model for Pedestrian Detection with Occlusion Handling,
- Single-Pedestrian Detection Aided by 2-Pedestrian Detection,
- Pedestrian Parsing via Deep Decompositional Neural Network, etc.
Prof. Kevin YIP’s Research Areas:
He works in the area of computational biology and bioinformatics (CBB). It is a fascinating field of research under rapid growth, with an aim of using computational methods to study biological and medical phenomena.
Prof. Thierry Blu’s Research Areas:
He mostly work on wavelets, multiresolution and approximation with applications like functional MRI, Optical Coherence Tomography and, generally speaking, Image Processing. Below is a commented selection of recent collaborated papers (see here for a more complete list of my publications): Wavelet theory, Image/Signal restoration, Finite Rate of Innovation representations, Approximation and sampling and etc.
Prof. Pheng Ann HENG's Research Areas:
- Histopathological Image Analysis
- 3D Deep Learning
- US-MRI Fusion based Targeted Prostate Biopsy System
- Vascular Intervention Simulation
- Ultrasound-guided Biopsy Simulation
- Virtual Arthroscopy
- Chinese Visible Human and Virtual Anatomy
- Virtual Acupuncture
- Comprehensive Analysis and Interactive Visualization of Cardiac MR Data
Prof. Defeng WANG’s Research Areas:
- Medical image computing, statistical morphometry analysis.
- fMRI paradigm design and post-processing.
- Quantitative medical imaging, including MRI, CT, XtremeCT, PET, ultrasound, etc.
Prof. Lin SHI’s Research Areas:
Developing new image computing tools and applying them to facilitate the detection of imaging biomarkers for various neurological disorders.