Search Results for author:
Found 15 papers, 5 papers with code
RT-GAN: Recurrent Temporal GAN for Adding Lightweight Temporal Consistency to Frame-Based Domain Translation Approaches
In this paper, we present a lightweight solution with a tunable temporal parameter, RT-GAN (Recurrent Temporal GAN), for adding temporal consistency to individual frame-based approaches that reduces training requirements by a factor of 5.
CLTS-GAN: Color-Lighting-Texture-Specular Reflection Augmentation for Colonoscopy
Automated analysis of optical colonoscopy (OC) video frames (to assist endoscopists during OC) is challenging due to variations in color, lighting, texture, and specular reflections.
FoldIt: Haustral Folds Detection and Segmentation in Colonoscopy Videos
Haustral folds are colon wall protrusions implicated for high polyp miss rate during optical colonoscopy procedures.
Visualizing Missing Surfaces In Colonoscopy Videos using Shared Latent Space Representations
This shared latent space captures the geometric information while deferring the color, texture, and specular information creation to additional Gaussian noise input.
Augmenting Colonoscopy using Extended and Directional CycleGAN for Lossy Image Translation
In this paper, we present a deep learning framework, Extended and Directional CycleGAN, for lossy unpaired image-to-image translation between OC and VC to augment OC video sequences with scale-consistent depth information from VC, and augment VC with patient-specific textures, color and specular highlights from OC (e. g, for realistic polyp synthesis).
Visualization Framework for Colonoscopy Videos
We present a visualization framework for annotating and comparing colonoscopy videos, where these annotations can then be used for semi-automatic report generation at the end of the procedure.
C2A: Crowd Consensus Analytics for Virtual Colonoscopy
In particular, C$^2$A is used to analyze and explore crowd responses on video segments, created from fly-throughs in the virtual colon.
Corresponding Supine and Prone Colon Visualization Using Eigenfunction Analysis and Fold Modeling
The use of Fiedler vectors and the segmented folds presents a precise way of visualizing corresponding regions across datasets and visual modalities.
FeatureLego: Volume Exploration Using Exhaustive Clustering of Super-Voxels
We then perform an exhaustive clustering of these super-voxels using a graph-based clustering method.
Crowdsourcing Lung Nodules Detection and Annotation
More specifically, a complete workflow is introduced which can help maximize the sensitivity of lung nodule detection by utilizing the collective intelligence of the crowd.
Crowd-Assisted Polyp Annotation of Virtual Colonoscopy Videos
Virtual colonoscopy (VC) allows a radiologist to navigate through a 3D colon model reconstructed from a computed tomography scan of the abdomen, looking for polyps, the precursors of colon cancer.
LMap: Shape-Preserving Local Mappings for Biomedical Visualization
In this paper, we present a shape-preserving local mapping technique for resolving occlusions locally while preserving the overall geometric context.
Radiative Transport Based Flame Volume Reconstruction from Videos
The approach includes an economical data capture technique using inexpensive CCD cameras.
Depth Reconstruction and Computer-Aided Polyp Detection in Optical Colonoscopy Video Frames
We present a computer-aided detection algorithm for polyps in optical colonoscopy images.
Anatomical Feature-guided Volumeric Registration of Multimodal Prostate MRI
Prostate scans of the same patient taken in three different orientations are first aligned for the accurate detection of anatomical features in 3D.
