Supervisors
Research interests
My research interests include image processing and computer vision, with specific emphasis on biomedical imaging. My current research primarily focuses on computer-aided prostate cancer detection and grading via multi-parametric MRI. Other projects include lung nodule segmentation, video photoplethysmography, and illumination-robust feature detection.
Research topics
Evolutionary Deep Intelligence
Image Segmentation/Classification
Research demos
Publications
Journal articles
Scharfenberger, C., A. Chung, A. Wong, and D. A. Clausi, "Salient Region Detection Using Self-Guided Statistical Non-Redundancy in Natural Images", IEEE Access, vol. 4, pp. 48-60, 2016. Details
Conference papers
Shafiee, M. J., A. Chung, A. Wong, and P. Fieguth, "IMPROVED FINE STRUCTURE MODELING VIA GUIDED STOCHASTIC CLIQUE FORMATION IN FULLY CONNECTED CONDITIONAL RANDOM FIELDS
", IEEE Conference on Image Processing, Accepted. Details
Chwyl, B., A. Chung, F. Li, A. Wong, and D. A. Clausi, "TIGER: A Texture-Illumination Guided Energy Response Model for Illumination Robust Local Saliency", IEEE International Conference on Image Processing, Accepted. Details
Chwyl, B., A. Chung, A. Wong, and D. A. Clausi, "Specular Reflectance Suppression in Endoscopic Imagery via Stochastic Bayesian Estimation", International Conference on Image Analysis and Recognition 2015, Accepted. Details
Li, F., M. J. Shafiee, A. Chung, B. Chwyl, F. Kazemzadeh, A. Wong, and J. S. Zelek, "HIGH DYNAMIC RANGE MAP ESTIMATION VIA FULLY CONNECTED RANDOM FIELDS WITH STOCHASTIC CLIQUES", International Conference on Image Processing, April, Accepted. Details
Chung, A., C. Scharfenberger, F. Khalvati, A. Wong, and M. A. Haider, "Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection", International Conference on Image Analysis and Recognition (ICIAR) , July, 2015. Details
Chung, A., X. Wang, R. Amelard, C. Scharfenberger, J. Leong, A. Wong, and D. A. Clausi, "High-resolution motion-compensated photoplethysmographic imaging for remote heart rate monitoring", SPIE Photonics West, Multimodal Biomedical Imaging X, February, 2015. Details
Li, E., M. J. Shafiee, A. Chung, F. Khalvati, A. Wong, and M. A. Haider, "Enhanced Reconstruction of Compressive Sensing MRI via Cross-Domain Stochastically Fully-Connected Random Field Model", International Society for Magnetic Resonance in Medicine, February, 2014. Details
