Mission
Our goal is to create impactful technologies that improve diagnostics, reduce costs, and increase accessibility to high-quality healthcare.
We utilize concepts from optical engineering, light-tissue interaction, computer vision, machine learning, and biodesign to invent new ways to see and treat disease.
Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
Bobrow TL, Golhar M, Vijayan R, Akshintala VS, Garcia JR, Durr NJ.
Medical Image Analysis In Press, 2023
[Journal Link]
[Preprint]
Lens free holographic imaging for urinary tract infection screening
McKay GN, Oommen A, Pacheco C, Chen MT, Ray SC, Vidal R, Haeffele BD, Durr NJ.
IEEE Transactions on Biomedical Engineering 70:3 2023
[Cover Article]
[Journal Link]
[Preprint]
Adaptive sparse reconstruction for lensless digital holography via PSF estimation and phase retrieval
Pacheco C, McKay GN, Oommen A, Durr NJ, Vidal R, Haeffele BD.
Optics Express 30:19 2022
[Journal Link]
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification
Golhar M, Bobrow TL, Ngamruengphong S, Durr NJ.
arXiv 2022
[Preprint]