54 citations · 62 across the 6 of their papers we have counts for
6 papers
RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches
Shawn Mathew, Saad Nadeem, Alvin C. Goh +1
Fourteen million colonoscopies are performed annually just in the U.S. However, the videos from these colonoscopies are not saved due to storage constraints (each video from a high…
CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy
Shawn Mathew, Saad Nadeem, Arie Kaufman
Automated analysis of optical colonoscopy (OC) video frames (to assist endoscopists during OC) is challenging due to variations in color, lighting, texture, and specular reflection…
NeuRegenerate: A Framework for Visualizing Neurodegeneration
Saeed Boorboor, Shawn Mathew, Mala Ananth +3
Recent advances in high-resolution microscopy have allowed scientists to better understand the underlying brain connectivity. However, due to the limitation that biological specime…
FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
Shawn Mathew, Saad Nadeem, Arie Kaufman
Haustral folds are colon wall protrusions implicated for high polyp miss rate during optical colonoscopy procedures. If segmented accurately, haustral folds can allow for better es…
Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
Shawn Mathew, Saad Nadeem, Arie Kaufman
Optical colonoscopy (OC), the most prevalent colon cancer screening tool, has a high miss rate due to a number of factors, including the geometry of the colon (haustral fold and sh…
Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation
Shawn Mathew, Saad Nadeem, Sruti Kumari +1
Colorectal cancer screening modalities, such as optical colonoscopy (OC) and virtual colonoscopy (VC), are critical for diagnosing and ultimately removing polyps (precursors of col…