Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
- Transportation
- Photonics and Electrooptics
- Engineering Profession
- Aerospace
- Geoscience
- Nuclear Engineering
- Career Development
- Emerging Technologies
- Telecommunications
- English for Technical Professionals
Nantheera Anantrasirichai
Also published under:N. Anantrasirichai
Affiliation
Visual Information Laboratory, University of Bristol, Bristol, United Kingdom
Topic
Self-supervised Learning,Deep Neural Network,Neural Network,Object Detection,Bounding Box,Convolutional Neural Network,Deep Learning,Deformable Convolution,Faster R-CNN,Feature Maps,Fine-tuned,Generative Adversarial Networks,Input Frames,Inverse Problem,Loss Function,Low Light Conditions,Low-light Image,Lung Ultrasound Images,Model-based Methods,Pleural Line,Point Spread Function,Unsupervised Learning,3D Domain,3D Framework,Additive Noise,Advances In Deep Learning,Alignment Module,Anomaly Detection,Anomaly Detection Methods,Anomaly Score,Atmospheric Correction,Atmospheric Turbulence,Autoimmune Uveitis,Automatic Detection,Average Precision,Blind Deconvolution,Bounding Box Regression,COVID-19 Patients,Cellular Details,Characteristic Scale,Class Activation Maps,Clear Image,Color Code,Color Distortion,Color Images,Complex Models,Compression Ratio,Computational Approaches,Computer Image,Computer Vision,
Biography
Nantheera Anantrasirichai (Member, IEEE) received the B.E. degree in electrical engineering from Chulalongkorn University, Bangkok, Thailand, in 2000, and the Ph.D. degree in electrical and electronic engineering from the University of Bristol, Bristol, U.K., in 2007.
She is a Research Fellow with Visual Information Laboratory, University of Bristol. She has been involved in many projects across multiple disciplines, including telecommunications, biology, optometry, clinical sciences, biochemistry, mechanical engineering, psychology, and geoscience. She has published more than 50 articles. Her research interests include image and video coding, image analysis and enhancement, medical imaging, texture-based image analysis, machine learning, and remote sensing.
She is a Research Fellow with Visual Information Laboratory, University of Bristol. She has been involved in many projects across multiple disciplines, including telecommunications, biology, optometry, clinical sciences, biochemistry, mechanical engineering, psychology, and geoscience. She has published more than 50 articles. Her research interests include image and video coding, image analysis and enhancement, medical imaging, texture-based image analysis, machine learning, and remote sensing.