Stewart Zuckerbrod

According to our database1, Stewart Zuckerbrod authored at least 12 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation.
CoRR, 2023

2022
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

2021
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers.
CoRR, 2021

RV-GAN : Retinal Vessel Segmentation from Fundus Images using Multi-scale Generative Adversarial Networks.
CoRR, 2021

RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Fundus2Angio: A Novel Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography.
CoRR, 2020

A Mixed Reality System for Modeling Perceptual Deficit to Correct Neural Errors and Recover Functional Vision.
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Improving Robustness Using Joint Attention Network for Detecting Retinal Degeneration From Optical Coherence Tomography Images.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
A Parametric Perceptual Deficit Modeling and Diagnostics Framework for Retina Damage Using Mixed Reality.
Proceedings of the Advances in Visual Computing, 2019


  Loading...