Publications

Conferences

SwinVFTR: A Novel Volumetric Feature-Learning Transformer for 3D OCT Fluid Segmentation
Khondker Fariha Hossain,Sharif Amit Kamran, Alireza Tavakkoli, Salah A. Baker, Stewart Lee Zuckerbrod. *22th IEEE International Symposium on Biomedical Imaging. ISBI2025..

Revolutionizing Space Health (Swin-FSR): Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology
Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Andrew G. Lee, Alireza Tavakkoli. The 26th International Conference on Medical Image Computing and Computer Assisted Intervention. MICCAI2023.

SWIN-SFTNet: Spatial Feature Expansion and Aggregation using Swin Transformer For Whole Breast micro-mass segmentation
Sharif Amit Kamran, Khondker Fariha Hossain (Equal Contribution), Alireza Tavakkoli, George Bebis, Salah A. Baker. 20th IEEE International Symposium on Biomedical Imaging. ISBI2023.

ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma. Applications of Medical Artificial Intelligence, MICCAI. AMAI2022.

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Lei Pan, Xingjun Ma, Sutharshan Rajasegarar, Chandan Karmaker. 20th IEEE International Conference on Machine Learning and Applications. ICMLA2021.

Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning
Khondker Fariha Hossain, Sharif Amit Kamran, Prithul Sarker, Philip Pavilionis, Isayas Adhanom, Nicholas Murray, Alireza Tavakkoli. International Symposium on Visual Computing: Advances in Visual Computing. ISVC2022.

A Game Theoretical Vulnerability Analysis of Adversarial Attacks
Khondker Fariha Hossain, Alireza Tavakkoli, Shamik Sengupta. International Symposium on Visual Computing: Advances in Visual Computing. ISVC2022.

Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
Sharif A. Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart L. Zuckerbrod, Salah A. Baker. The 25th International Conference on Medical Image Computing and Computer Assisted Intervention. MICCAI2022.

VTGAN: Semi-Supervised Retinal Image Synthesis and Disease Prediction Using Vision Transformers
Sharif A. Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart L. Zuckerbrod, Salah A. Baker. IEEE/CVF International Conference on Computer Vision Workshop. ICCV2021.

RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-Scale Generative Adversarial Network
Sharif A. Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart L. Zuckerbrod, Kenton M. Sanders, Salah A. Baker. 24th International Conference on Medical Image Computing and Computer Assisted Intervention. MICCAI2021.

Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images Using Generative Adversarial Networks
Sharif A. Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart L. Zuckerbrod. 25th International Conference on Pattern Recognition. ICPR2020.

Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography
Sharif A. Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Zuckerbrod, Salah A. Baker, Kenton M. Sanders. 15th International Symposium on Visual Computing. ISVC2020.

Automated Denoising Software for Calcium Imaging Signals Using Deep Learning Sharif Amit Kamran, Hussein Moghnieh, Khondker Fariha Hossain, Allison Bartlett, Alireza Tavakkoli, Bernard T. Drumm, Kenton M. Sanders, Salah A. Baker. (Accepted at Heliyon, Elsevier).

A Novel Deep Learning Conditional Generative Adversarial Network for Producing Angiography Images from Retinal Fundus Photographs
Sharif A. Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart L. Zuckerbrod. Scientific Reports, Nature. 2021.

SANS-CNN: An Automated Machine Learning Technique for Spaceflight Associated Neuro-Ocular Syndrome with Astronaut Imaging Data
Sharif Amit Kamran, Khondker Fariha Hossain, Joshua Ong, Nasif Zaman, Ethan Waisberg, Phani Paladugu, Andrew G. Lee, Alireza Tavakkoli. npj Microgravity, Nature. 2024.

FA4SANS-GAN: A Novel Machine Learning Generative Adversarial Network to Further Understand Ophthalmic Changes in Spaceflight Associated Neuro-Ocular Syndrome (SANS)
Sharif Amit Kamran, Khondker Fariha Hossain, Joshua Ong, Ethan Waisberg, Nasif Zaman, Salah A. Baker, Andrew G. Lee, Alireza Tavakkoli. Ophthalmology Science, Elsevier. 2024.

Software for Segmenting and Quantifying Calcium Signals Using Multi-Scale Generative Adversarial Networks
Sharif Amit Kamran, Khondker Fariha Hossain, Hussein Moghnieh, Nyanbol Kuol, Sarah Riar, Allison Bartlett, Alireza Tavakkoli, Salah A. Baker. Star Protocols, Cell Press. 2022.

New Open-Source Software for Subcellular Segmentation and Analysis of Spatiotemporal Fluorescence Signals Using Deep Learning
Sharif A. Kamran, Khondker Fariha Hossain, Hussein Moghnieh, Sarah Riar, Allison Bartlett, Alireza Tavakkoli, Kenton M. Sanders, Salah A. Baker. iScience, Cell Press. 2022.

Detecting Spaceflight Associated Neuro-Ocular Syndrome (SANS) Using Light-Weight Convolutional Neural Networks
Amit Kamran, Khondker Fariha Hossain, Joshua Ong, Alireza Tavakkoli, Andrew G. Lee. Journal of Vision, ARVO. 2023.

A Generative Adversarial Deep Neural Network to Translate Between Ocular Imaging Modalities While Maintaining Anatomical Fidelity
Sharif Amit Kamran, Khondker Fariha Hossain, Joshua Ong, Alireza Tavakkoli, Andrew G. Lee. Journal of Vision, ARVO. 2022.

Teach-Former: Enhancing Slim Models with Multimodal, Multi-Teacher Insights for Medical Image Segmentation
Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Alireza Tavakkoli. (Submitted to Scientific Reports).