activity
20192023
most citedVTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers

92 citations · 238 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2023★ 3 cited

SwinVFTR: A Novel Volumetric Feature-learning Transformer for 3D OCT Fluid Segmentation

Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli +2

Accurately segmenting fluid in 3D optical coherence tomography (OCT) images is critical for detecting eye diseases but remains challenging. Traditional autoencoder-based methods st…

eess.IV2022

Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images

Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +2

Ophthalmic images may contain identical-looking pathologies that can cause failure in automated techniques to distinguish different retinal degenerative diseases. Additionally, rel…

eess.IV2021★ 92 cited

VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers

Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +2

In Fluorescein Angiography (FA), an exogenous dye is injected in the bloodstream to image the vascular structure of the retina. The injected dye can cause adverse reactions such as…

eess.IV2021★ 84 cited

RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs using a Novel Multi-scale Generative Adversarial Network

Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +3

High fidelity segmentation of both macro and microvascular structure of the retina plays a pivotal role in determining degenerative retinal diseases, yet it is a difficult problem.…

eess.IV2020★ 29 cited

Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks

Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +1

Fluorescein Angiography (FA) is a technique that employs the designated camera for Fundus photography incorporating excitation and barrier filters. FA also requires fluorescein dye…

eess.IV2020★ 3 cited

Improving Robustness using Joint Attention Network For Detecting Retinal Degeneration From Optical Coherence Tomography Images

Sharif Amit Kamran, Alireza Tavakkoli, Stewart Lee Zuckerbrod

Noisy data and the similarity in the ocular appearances caused by different ophthalmic pathologies pose significant challenges for an automated expert system to accurately detect r…

eess.IV2020★ 27 cited

Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography

Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +3

Carrying out clinical diagnosis of retinal vascular degeneration using Fluorescein Angiography (FA) is a time consuming process and can pose significant adverse effects on the pati…

eess.IV2019

A Parametric Perceptual Deficit Modeling and Diagnostics Framework for Retina Damage using Mixed Reality

Prithul Aniruddha, Nasif Zaman, Alireza Tavakkoli +1

Age-related Macular Degeneration (AMD) is a progressive visual impairment affecting millions of individuals. Since there is no current treatment for the disease, the only means of…