Mohammed Yusuf Ansari

Affiliation

Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA
Electrical and Computer Engineering, Texas A&M University at Qatar, Doha, Qatar

Topic

Deep Learning,Neural Network,Attention Mechanism,Convolutional Neural Network,Dice Loss,Fully Convolutional Network,Image Segmentation,Inference Time,K-nearest Neighbor,K-nearest Neighbor Model,Learning Models,Loss Function,Machine Learning,Machine Learning Models,Model Performance,Neural Architecture Search,Parameter Count,Quantitative Structure–activity Relationship,Segmentation Accuracy,Segmentation Performance,Skip Connections,Synthetic Minority Oversampling Technique,U-Net Architecture,Ultrasound Imaging,AdaBoost,Adaptive Histogram Equalization,Aliskiren,Allergic Asthma,Architecture For Segmentation,Attention Module,Auction,B-mode Ultrasonography,Barrier Permeability,Best-performing Model,Blood-brain Barrier,Blood-brain Barrier Permeability,Body Organs,Bond Angles,Breast Ultrasound,CPLEX Solver,Capability Of Model,Central Nervous System Drugs,Characteristic Width,Classification Accuracy,Classification Metrics,Color Distribution,Communication Constraints,Communication Range,Comprehensive Evaluation,Computer Vision,

Biography

Mohammed Yusuf Ansari received the B.Sc. degree in computer science from Carnegie Mellon University and the M.Sc. degree in data science from Hamad Bin Khalifa University. He is currently pursuing the Ph.D. degree in computer engineering with Texas A&M University. He is a Research Associate with Hamad Medical Corporation.