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.
Speckle-illumination spatial frequency domain imaging with a stereo laparoscope for profile-corrected optical property mapping
Song AA, Chen MT, Bobrow TL, Durr NJ.
arXiv 2024
[Preprint]
In vivo fundus imaging and computational refocusing with a diffuser-based fundus camera
Simmerer C, Morakis M, Gomez-Perez L, Liu A, Durr NJ.
arXiv 2024
[Preprint]
A Deep Learning Approach for Generating Intracranial Pressure Waveforms from Extracranial Signals Routinely Measured in the Intensive Care Unit
Nair SS, Guo A, Boen J, Aggarwal A, Chahal O, Tandon A, Patel M, Sankararaman S, Durr NJ, Azad TD, Pirracchio R, Stevens RD.
Computers in Medicine and Biology In Press 2024
[Journal Link]
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification
Golhar M, Bobrow TL, Ngamruengphong S, Durr NJ.
IEEE J Biomed Health Inform. 2024
[Journal Link] [Preprint]
Thermal Characterization and Preclinical Validation of an Accessible, Carbon Dioxide-Based Cryotherapy System
Hu Y, Gordon N, Ogg K, Kraitchman DL, Durr NJ, Surtees B.
Bioengineering 11:4 2024
[Journal Link] [Preprint]