1 code implementation • 11 Aug 2023 • Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Andrew G. Lee, Alireza Tavakkoli
However, due to the unavailability of experts in these locations, the data has to be transferred to an urban healthcare facility (AMD and glaucoma) or a terrestrial station (e. g, SANS) for more precise disease identification.
1 code implementation • 16 Mar 2023 • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Salah A. Baker, Stewart Lee Zuckerbrod
To address these issues, we propose SwinVFTR, a new transformer-based architecture designed for precise fluid segmentation in 3D volumetric OCT images.
no code implementations • 16 Nov 2022 • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, George Bebis, Sal Baker
We also incorporate a novel embedding loss that calculates similarities between linear feature embeddings of the encoder and decoder blocks.
no code implementations • 13 Oct 2022 • Khondker Fariha Hossain, Sharif Amit Kamran, Prithul Sarker, Philip Pavilionis, Isayas Adhanom, Nicholas Murray, Alireza Tavakkoli
Therefore, for the assessment and management of concussion detection, standardization is required to lower the risk of injury and increase the validation among clinicians.
no code implementations • 12 Oct 2022 • Prithul Sarker, Khondker Fariha Hossain, Isayas Berhe Adhanom, Philip K Pavilionis, Nicholas G. Murray, Alireza Tavakkoli
The sport-related concussion (SRC) battery relies heavily upon subjective symptom reporting in order to determine the diagnosis of a concussion.
1 code implementation • 24 Jun 2022 • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker
Ophthalmic images may contain identical-looking pathologies that can cause failure in automated techniques to distinguish different retinal degenerative diseases.
1 code implementation • 17 Oct 2021 • Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma
The experiment confirms that our model is more robust against such adversarial attacks for classifying arrhythmia with high accuracy.
no code implementations • 16 Jul 2021 • Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker
Moreover, the model is conditioned on class-specific ECG signals to synthesize realistic adversarial examples.
2 code implementations • 14 Apr 2021 • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker
The only non-invasive method for capturing retinal vasculature is optical coherence tomography-angiography (OCTA).
2 code implementations • 3 Jan 2021 • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker
In order to avoid the loss of fidelity suffered by traditional GAN-based segmentation systems, we introduce a novel weighted feature matching loss.
Ranked #2 on Retinal Vessel Segmentation on STARE
2 code implementations • 17 Jul 2020 • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod
Fluorescein Angiography (FA) is a technique that employs the designated camera for Fundus photography incorporating excitation and barrier filters.
1 code implementation • 11 May 2020 • Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker, Kenton M. Sanders
Angiography requires insertion of a dye that may cause severe adverse effects and can even be fatal.
Ranked #6 on Fundus to Angiography Generation on Fundus Fluorescein Angiogram Photographs & Colour Fundus Images of Diabetic Patients
Fundus to Angiography Generation Generative Adversarial Network