92 citations · 264 across the 13 of their papers we have counts for
13 papers
Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology
Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong +2
The rapid accessibility of portable and affordable retinal imaging devices has made early differential diagnosis easier. For example, color funduscopy imaging is readily available…
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…
SWIN-SFTNet : Spatial Feature Expansion and Aggregation using Swin Transformer For Whole Breast micro-mass segmentation
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli +2
Incorporating various mass shapes and sizes in training deep learning architectures has made breast mass segmentation challenging. Moreover, manual segmentation of masses of irregu…
Virtual-Reality based Vestibular Ocular Motor Screening for Concussion Detection using Machine-Learning
Khondker Fariha Hossain, Sharif Amit Kamran, Prithul Sarker +4
Sport-related concussion (SRC) depends on sensory information from visual, vestibular, and somatosensory systems. At the same time, the current clinical administration of Vestibula…
A Game Theoretical vulnerability analysis of Adversarial Attack
Khondker Fariha Hossain, Alireza Tavakkoli, Shamik Sengupta
In recent times deep learning has been widely used for automating various security tasks in Cyber Domains. However, adversaries manipulate data in many situations and diminish the…
Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection using BiLSTM
Prithul Sarker, Khondker Fariha Hossain, Isayas Berhe Adhanom +3
The sport-related concussion (SRC) battery relies heavily upon subjective symptom reporting in order to determine the diagnosis of a concussion. Unfortunately, athletes with SRC ma…
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…
ECG-ATK-GAN: Robustness against Adversarial Attacks on ECGs using Conditional Generative Adversarial Networks
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli +1
Automating arrhythmia detection from ECG requires a robust and trusted system that retains high accuracy under electrical disturbances. Many machine learning approaches have reache…
ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli +4
Electrocardiogram (ECG) acquisition requires an automated system and analysis pipeline for understanding specific rhythm irregularities. Deep neural networks have become a popular…
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…
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.…
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…
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…