Design of Computational Biomarkers from Medical Images - Problems in Computational Brain and Eye Anatomy
Advances in Biomedical Imaging have enabled scientists to acquire exquisite images of human anatomy and function and these images are vital to understanding the onset and progression of a wide range of human diseases. Modern scanners are exquisite cameras - they can observe exquisite detail of internal anatomy and function that are provided in the form of raw images. The availability of large-scale imaging databases, containing hundreds of thousands to millions of images, has now shifted the bottleneck in understanding diseases from the acquisition of data to the analysis and interpretation of data. In the 'omics' era of "biomedical big data", where databases containing several terabytes of imaging data are commonly available, computational algorithms, tools and software for the analysis of large-scale multimodal and multivariate datasets are essential to discover useful patterns, identify outliers and interpret each image in the context of variability in normal and diseased states. This is the emerging field of “Computational Anatomy” where computational signal processing tools are designed for mining patterns of change in human anatomy and function images during healthy aging and disease. I will be presenting a brief overview and some recent work from our group in applying the toolbox of Computational Anatomy in the setting of brain and retina morphometry, and applications in Alzheimer's disease and Glaucoma.
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- Date: 26 Apr 2017
- Time: 07:30 AM UTC to 08:30 AM UTC
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- Khalifa University
- Abu Dhabi, United Arab Emirates
- United Arab Emirates
- Building: H Building
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- Co-sponsored by Sami Muhaidat
Speakers
Prof. Faisal Beg
Biography:
Dr. Faisal Beg is a tenured Professor at the School of Engineering Science at Simon Fraser University, Vancouver, Canada and Associate Dean, Research and Graduate Studies, Faculty of Applied Science. He got his Bachelor of Technology (honors) degree in Electrical (Instrumentation) Engineering at the Indian Institute of Technology (IIT), Kharagpur and his Master of Science degree in Biomedical Engineering from Boston University (USA). He received his PhD degree in Biomedical Engineering from the Johns Hopkins University (USA). His main research interest is in designing novel signal processing tools for the quantitative understanding of human brain and retina structure and function. He has also contributed to designing novel algorithms for digital pathology, and cardiac and electro-optical imaging. He holds an NSERC Accelerator award, an NSERC Discovery grant, and is the Principal Investigator of a multi-investigator research grant 1.5 million dollars from the Brain Canada foundation. His teaching includes courses such as ENSC 383 Feedback Control Systems, ENSC 474/895 Digital/Medical Image Processing and ENSC 801 Linear system theory. His teaching philosophy is based around the quote "the mind is not a vessel to be filled but a fire to be lit". In his teaching, he emphasizes a deep understanding of the engineering/mathematical concepts through visualization, interaction and practical implementation. His contributions have been recognized with the Faculty of Applied Science Excellence in Teaching award (2011), the Association of Professional Engineers and Geoscientists of British Columbia’s Meritorious Achievement award (Presidential Award, 2012), and the Faculty of Applied Science Excellence in Research Award (2015).
Prof. Faisal Beg
Biography: