110 citations · 208 across the 7 of their papers we have counts for
8 papers
C3VDv2 -- Colonoscopy 3D video dataset with enhanced realism
Mayank V. Golhar, Lucas Sebastian Galeano Fretes, Loren Ayers +3
Spatial computer vision techniques have the potential to improve the diagnostic performance of colonoscopy. However, the lack of 3D colonoscopy datasets for training and validation…
Multi-contrast laser endoscopy for in vivo gastrointestinal imaging
Taylor L. Bobrow, Mayank Golhar, Suchapa Arayakarnkul +3
White light endoscopy is the clinical gold standard for detecting diseases in the gastrointestinal tract. Most applications involve identifying visual abnormalities in tissue color…
Speckle-illumination spatial frequency domain imaging with a stereo laparoscope for profile-corrected optical property mapping
Anthony A. Song, Mason T. Chen, Taylor L. Bobrow +1
We introduce a compact, two-camera laparoscope that combines active stereo depth estimation and speckle-illumination spatial frequency domain imaging (si-SFDI) to map profile-corre…
Colonoscopy 3D Video Dataset with Paired Depth from 2D-3D Registration
Taylor L. Bobrow, Mayank Golhar, Rohan Vijayan +3
Screening colonoscopy is an important clinical application for several 3D computer vision techniques, including depth estimation, surface reconstruction, and missing region detecti…
GAN Inversion for Data Augmentation to Improve Colonoscopy Lesion Classification
Mayank Golhar, Taylor L. Bobrow, Saowanee Ngamruengphong +1
A major challenge in applying deep learning to medical imaging is the paucity of annotated data. This study demonstrates that synthetic colonoscopy images generated by Generative A…
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…
SLAM Endoscopy enhanced by adversarial depth prediction
Richard J. Chen, Taylor L. Bobrow, Thomas Athey +2
Medical endoscopy remains a challenging application for simultaneous localization and mapping (SLAM) due to the sparsity of image features and size constraints that prevent direct…
DeepLSR: a deep learning approach for laser speckle reduction
Taylor L. Bobrow, Faisal Mahmood, Miguel Inserni +1
Speckle artifacts degrade image quality in virtually all modalities that utilize coherent energy, including optical coherence tomography, reflectance confocal microscopy, ultrasoun…