Image Processing pipeline to super-resolve Images from Portable OCT
We have developed a pipeline with AI diffusion models to super-resolve images captured from a low-cost, portable Optical Coherence Tomography device, enabling enhanced downstream AI algorithm performance.
Next steps include embedding the image processing + AI software pipeline into the portable OCT imaging device to enable a broader population to gain access to such potentially sight-saving technology.
Read more here
(Best Paper Award earned at MICCAI FAIR 2022):
Thakoor, K., Carter, A., Song, G., Wax, A., Moussa O., Chen, R.W.S., Hendon, C., Sajda, P., “Enhancing Portable OCT Image Quality via GANs for AI-Based Eye Disease Detection.” Medical Image Computing and Computer Assisted Intervention (MICCAI) aFfordable healthcare and AI for Resource diverse global health (FAIR), Singapore, 18-22 September, 2022.
(NeurIPS 2025):
Tian, Y., McCarthy, A., Gomide, G., Liddle, N., Golebka, J., Chen, R.W.S., Liebmann, J.A., Thakoor, K.A. "OCTDiff: Bridged Diffusion Model for Portable OCT Super-resoultion and Enhancement," Advances in Neural Information Processing Systems, 2025.
