activity
20172021
most citedUnsupervised Reverse Domain Adaptation for Synthetic Medical Images via Adversarial Training

228 citations · 509 across the 18 of their papers we have counts for

collaborators

22 papers

physics.optics2021★ 84 cited

Deep learning in biomedical optics

Lei Tian, Brady Hunt, Muyinatu A. Lediju Bell +5

This article reviews deep learning applications in biomedical optics with a particular emphasis on image formation. The review is organized by imaging domains within biomedical opt…

physics.optics2021

Scattering oblique plane microscopy for in-vivo blood cell imaging

Gregory N. McKay, Ryan C. Niemeier, Carlos Castro-González +1

Oblique plane microscopy (OPM) enables high speed, volumetric fluorescence imaging through a single-objective geometry. While these advantages have positioned OPM as a valuable too…

cs.CV2020★ 5 cited

A Deep Learning Bidirectional Temporal Tracking Algorithm for Automated Blood Cell Counting from Non-invasive Capillaroscopy Videos

Luojie Huang, Gregory N. McKay, Nicholas J. Durr

Oblique back-illumination capillaroscopy has recently been introduced as a method for high-quality, non-invasive blood cell imaging in human capillaries. To make this technique pra…

cs.CV2020★ 24 cited

Improving colonoscopy lesion classification using semi-supervised deep learning

Mayank Golhar, Taylor L. Bobrow, MirMilad Pourmousavi Khoshknab +3

While data-driven approaches excel at many image analysis tasks, the performance of these approaches is often limited by a shortage of annotated data available for training. Recent…

cs.CV2020

VR-Caps: A Virtual Environment for Capsule Endoscopy

Kagan Incetan, Ibrahim Omer Celik, Abdulhamid Obeid +8

Current capsule endoscopes and next-generation robotic capsules for diagnosis and treatment of gastrointestinal diseases are complex cyber-physical platforms that must orchestrate…

eess.IV2020★ 31 cited

Rapid tissue oxygenation mapping from snapshot structured-light images with adversarial deep learning

Mason T. Chen, Nicholas J. Durr

Spatial frequency domain imaging (SFDI) is a powerful technique for mapping tissue oxygen saturation over a wide field of view. However, current SFDI methods either require a seque…