Topic

Haidi Ibrahim

Also published under:H. Ibrahim

Affiliation

School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, Malaysia

Topic

Convolutional Neural Network,Deep Learning,Blood Vessels,Medical Imaging,Segmentation Accuracy,Background Regions,Deep Learning Models,Fundus Images,Image Segmentation,Medical Image Segmentation,Optic Nerve Head,Performance Metrics,Support Vector Machine,Training Set,Validation Set,3D Point,Abnormal Vessels,Accurate Diagnosis,Agricultural Applications,Agricultural Crops,Anatomical Regions,Aneurysm,Animal Behavior,Animal Health,Animal Husbandry,Art Techniques,Artificial Images,Automatic Segmentation,Behavior Recognition,Binary Code,Binary Pattern,Biometric Systems,Biometric Technologies,Camera Pose,Camera Pose Estimation,Cardiology,Central Pixel,Cerebral Vessels,Class Imbalance,Classification Accuracy,Clinical Outcomes,Clustering-based Methods,Complex Shapes,Conditional Generative Adversarial Network,Convolutional Layers,Convolutional Network,Coronary Angiography,Coronary Vessels,Cotton Wool Spots,Current Frame,

Biography

Haidi Ibrahim (Senior Member, IEEE) received the B.Eng. degree in electrical and electronic engineering from Universiti Sains Malaysia, Nibong Tebal, Malaysia, in 2000, and the Ph.D. degree in digital image processing from the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, U.K., in 2005.
He is currently an Associate Professor with the School of Electrical and Electronic Engineering, Universiti Sains Malaysia. In addition to digital image processing and analysis, his research interests also include digital signal processing and analysis, machine learning, virtual reality, and data representation.