The Vision Lab aims to develop novel theory, state-of-art algorithms, architectures, and real-time implementations in biomedical, human and machine-centric recognition, and environment & geoscience applications based on the disciplines of computer vision, signal/image processing and machine learning.
News Highlights
- Congratulations to several ODU faculty including Dr. Khan Iftekharuddin, for ranking in top 2% of the most-cited scientists worldwide in a recent study conducted at Stanford University. Check out the article in the ODU News.
– December 2020 - ODU Vision Lab research on real-time flood alert systems is highlighted in the Virginia Pilot News.
– December 2020 - Vision Lab in collaboration with a multidisciplinary team from ODU and UVa win grant for Flood Notification Research. Check out the article in the ODU News.
– November 2020 - Congratulations Dr. Khan Iftekharuddin, for receiving the ODU Faculty Research, Scholarship and Creative Achievement Award. Check out the article in the ODU News.
– September 2020 - Congratulations Zeina Shboul for successfully defending her dissertation “Model-Based Approach for Diffuse Glioma Classification, Grading, and Patient Survival Prediction”.
– May 2020 - Congratulations Megan Witherow, for winning prestigious NSF Graduate Research Fellowship award. Check out the article in the ODU News.
– April 2020 - Congratulations Linmin Pei for successfully defending his dissertation “Longitudinal Brain Tumor Tracking, Tumor Grading, and Patient Survival Prediction Using MRI”.
– March 2020 - Congratulations Zeina Shboul, for being selected as a Finalist for the 2020 Robert F. Wagner All Conference Best Student Paper Award in the SPIE Medical Imaging Conference.
– February, 2020 - Dr. Jerry Prince, William B. Kouwenhoven Professor at Johns Hopkins University visits ODU Vision Lab prior to giving seminar about Optical coherence tomography (OCT) and OCT angiography (OCTA) of the retina as promising ways to monitor multiple sclerosis (MS).
– January, 2020 - Congratulations Lasitha Vidyaratne for successfully defending his dissertation “Deep Cellular Recurrent Neural Network Architecture for Efficient Multidimensional Time-Series Data Processing”.
– November 2019 - Vision Lab featured in ODU News for winning second place in worldwide Medical Image Computing Assisted Intervention Society MICCAI2019 challenge for brain tumor subtype classification. “More than 80 teams from around the world competed in the 2019 Computational Precision Medicine: Radiology-Pathology Challenge on Brain Tumor Classification 2019 (CPM-RadPath) challenge.”
– November, 2019 - Vision Lab Team featured in Batten College of Engineering and Technology Illuminator magazine for winning second place in worldwide Medical Image Computing Assisted Intervention Society MICCAI2019 challenge for brain tumor subtype classification.
– November, 2019 - Vision Lab mentioned in ODU news for 3rd year of participation in Research Experience for Undergraduates in Cybersecurity Research funded by the National Science Foundation (NSF).
– November, 2019 - Congratulations ODU Vision Lab for winning second place in worldwide Medical Image Computing Assisted Intervention Society MICCAI2019 challenge for brain tumor subtype classification – see National Institute of Biomedical Imaging and Bioengineering NIBIB tweet.
– November, 2019 - Congratulations ODU Vision Lab for brain tumor segmentation research featured in 2019 Coalition for Academic Scientific Computation brochure. See page 2 of The Illuminator for coverage.
– August, 2019
Our research is sponsored by
