1 citations · 2 across the 8 of their papers we have counts for
11 papers
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…
ConnectedUNets++: Mass Segmentation from Whole Mammographic Images
Prithul Sarker, Sushmita Sarker, George Bebis +1
Deep learning has made a breakthrough in medical image segmentation in recent years due to its ability to extract high-level features without the need for prior knowledge. In this…
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…
VR-SFT: Reproducing Swinging Flashlight Test in Virtual Reality to Detect Relative Afferent Pupillary Defect
Prithul Sarker, Nasif Zaman, Alireza Tavakkoli
The relative afferent asymmetry between two eyes can be diagnosed using swinging flashlight test, also known as the alternating light test. This remains one of the most used clinic…