Nilanjan Ray, PhD

Area of Study / Keywords

Computer vision Image analysis Medical image processing Deep learning

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About

I joined Computing Science, University of Alberta as an Assistant Professor in 2006. I was promoted to Associate Professor in 2013.

Education

• B.Engg., Mechanical Egnineering, Jadavpur University, India, 1995 
• M.Tech., Computer Science, Indian Statistical Institute, India, 1997 
• Ph.D., Electrical Engineering, University of Virginia, USA, 2003

Associate Editor

• IEEE Transactions on Image Processing (2013-2017)
• IET Image Processing (2016-2022)

General Co-chair

• 2017 AI/GI/CRV Conference, Edmonton

Books Co-authored

• Scott T. Acton and Nilanjan Ray, Biomedical image analysis: Tracking. Morgan & Claypool Publishers, 2006.
• Scott T. Acton and Nilanjan Ray, Biomedical image analysis: Segmentation. Morgan & Claypool Publishers, 2009.

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Research

Area

Computer vision and deep learning; image and video analysis, medical image processing

Interests

Medical image and video analysis and general computer vision problems including segmentation, registration, object detection and classification.

Projects

• Pedestrian and vehicle counting
• Microscopy image and video segmentation and registration
• Breast cancer histopathology image analysis
• Oilsand slurry image and video analysis
• Non-invasive blood pressure monitoring
• Brain tumor localization

Sayan Ghosal, Nilanjan Ray

Pattern Recognition Letters. 94

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Nilanjan Ray, Sara McArdle, Scott T. Acton, Klaus Ley

IEEE Journal of Biomedical and Health Informatics.. 20 (6):1575 - 1584

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Baidya Nath Saha, Nilanjan Ray, Russell Greiner, Albert Murtha, Hong Zhang

Computerized medical imaging and graphics. 36 (2):95-107

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Homa Foroughi, Nilanjan Ray, and Hong Zhang

Pattern Recognition. 48 (10):3038-3052

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Satarupa Mukherjee, Stephani Gil, Nilanjan Ray

The Visual Computer. 31 (10):1405-1417