Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN

no code implementations • 29 Sep 2023 • Weiwen Zhang, Dawei Yang, Haoxuan Che, An Ran Ran, Carol Y. Cheung, Hao Chen

For optical coherence tomography angiography (OCTA) images, a limited scanning rate leads to a trade-off between field-of-view (FOV) and imaging resolution.

Generative Adversarial Network Image Super-Resolution

Reference-based OCT Angiogram Super-resolution with Learnable Texture Generation

no code implementations • 10 May 2023 • Yuyan Ruan, Dawei Yang, Ziqi Tang, An Ran Ran, Carol Y. Cheung, Hao Chen

The key difference between the proposed method and traditional RefSR models is that the textures used during inference are generated by the LTG instead of being searched from a single reference image.

Reference-based Super-Resolution Texture Synthesis

Finding New Diagnostic Information for Detecting Glaucoma using Neural Networks

no code implementations • 14 Oct 2019 • Erfan Noury, Suria S. Mannil, Robert T. Chang, An Ran Ran, Carol Y. Cheung, Suman S. Thapa, Harsha L. Rao, Srilakshmi Dasari, Mohammed Riyazuddin, Dolly Chang, Sriharsha Nagaraj, Clement C. Tham, Reza Zadeh

We further used our model to find new areas in the 3D data that are presently not being identified as a diagnostic parameter to detect glaucoma by human doctors.