Biomedical Imaging and Informatics Program Overview

The Biomedical Imaging and Informatics program focuses on optical biomedical imaging & spectroscopy, fMRI, Computer-aided diagnosis, bioinformatics, health informatics, and telemedicine.

Research Interests

The program encompasses various research areas, including:

• 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
• Optical Coherence Tomography (OCT) technologies for ophthalmology, intraluminal imaging, and intra-operative applications
• Advanced Endomicroscopy and Computational Optics for translational biomedical imaging
• Machine Learning for advanced biomedical imaging functions and quantitative image analysis
• Learning Deep Representation with Large-scale Attributes, DeepID-Net, Joint Deep Learning for Pedestrian Detection, Multi-task Recurrent Neural Network for Immediacy Prediction, and more
• Computational biology and bioinformatics (CBB) with an aim of using computational methods to study biological and medical phenomena
• Wavelets, multiresolution, and approximation with applications like functional MRI, Optical Coherence Tomography, and Image Processing
• Histopathological Image Analysis, 3D Deep Learning, US-MRI Fusion based Targeted Prostate Biopsy System, Vascular Intervention Simulation, and more
• Medical image computing, statistical morphometry analysis, fMRI paradigm design and post-processing, and quantitative medical imaging
• Developing new image computing tools and applying them to facilitate the detection of imaging biomarkers for various neurological disorders

Faculty Members and Their Research Areas

The program involves various faculty members with diverse research areas, including:

• Prof. ZHOU Renjie: The Laser Metrology and Biomedicine (LAMB) Group
• Prof. YUAN Wu Scott: Optical Coherence Tomography (OCT) technologies and Advanced Endomicroscopy
• Prof. Xiaogang WANG: Learning Deep Representation with Large-scale Attributes and Joint Deep Learning for Pedestrian Detection
• Prof. Kevin YIP: Computational biology and bioinformatics (CBB)
• Prof. Thierry Blu: Wavelets, multiresolution, and approximation with applications like functional MRI and Optical Coherence Tomography
• Prof. Pheng Ann HENG: Histopathological Image Analysis, 3D Deep Learning, and US-MRI Fusion based Targeted Prostate Biopsy System
• Prof. Defeng WANG: Medical image computing, statistical morphometry analysis, and fMRI paradigm design and post-processing
• Prof. Lin SHI: Developing new image computing tools for detecting imaging biomarkers for neurological disorders

Department Affiliations

The faculty members are affiliated with various departments, including:

• Department of Biomedical Engineering
• Department of Electronic Engineering
• Department of Computer Science and Engineering
• Department of Imaging and Interventional Radiology, Faculty of Medicine