Biography
Furat’s current research focuses on deep learning and biomedical image analysis, where she’s trying to utilize a transformers-based approach to reconstruct 3D ultrasound volumes using a series of 2D videos.
Previously, Furat was a Research Associate at the Center for Complex Engineering Systems (CCES) at King Abdulaziz City for Science and Technology (KACST) and Massachusetts Institute of Technology (MIT). After joining the center, she pursued her MSc in Computer Graphics, Vision, and Imaging at University College London (UCL). Throughout her master’s studies, she developed a super-resolution generative adversarial networks (SRGAN) framework that enhances the quality of ovarian ultrasound images.
At CCES, her research focuses on utilizing high-resolution satellite imagery and deep learning techniques to accurately detect and count date palm trees in Al-Ahsa region, Saudi Arabia, as part of the Deep Telemetry project. Her research interests are in the fields of machine vision, medical imaging, and deep learning.
Research Interests
Machine Vision, 3D Reconstruction, 2D-3D Registration, Transformers, Fetal Ultrasound
