Optical biomedical imaging & spectroscopy, fMRI, Computer-aided diagnosis, bioinformatics, health informatics, telemedicine

Research Interests

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

Details: http://www.renjiezhou.com

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.

Details: http://www.ee.cuhk.edu.hk/~xgwang/Projects.html

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.

Details: http://www.cse.cuhk.edu.hk/~kevinyip/index.html

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.

Details: http://www.ee.cuhk.edu.hk/~tblu/monsite/phps/research.php

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

Details: http://www.cse.cuhk.edu.hk/~pheng/5.html

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.

Details: http://www.droid.cuhk.edu.hk/staff/staff_list/dfwang/dfwang.htm

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.

Details: http://www.mect.cuhk.edu.hk/people/linshi.html

Prof. Renjie ZHOU
Department of Biomedical Engineering
Prof. Xiaogang WANG
Department of Electronic Engineering
Prof. Kevin YIP
Department of Computer Science and Engineering
Prof. BLU Thierry
Department of Electronic Engineering
Prof. Pheng Ann HENG
Department of Computer Science and Engineering
Prof. Defeng WANG
Department of Imaging and Interventional Radiology, Faculty of Medicine
Prof. Lin SHI
Department of Imaging and Interventional Radiology, Faculty of Medicine