Clinical Vision and AI Lab (C-VAIL) Northern Arizona University

Publications

Highlighted

Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation
Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation
Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Alireza Tavakkoli
Scientific Reports  ·  07 May 2025  ·  doi:10.1038/s41598-025-91430-0
Teach-Former, a novel knowledge distillation (KD) framework that leverages a Transformer backbone to effectively condense the knowledge of multiple teacher models into a single, streamlined student model. Moreover, it excels in the contextual and spatial interpretation of relationships across multimodal images for more accurate and precise segmentation.
GitHub
Manuscript Source
knowledge-distillation oncology
Revolutionizing Space Health Swin-FSR : Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology
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
Lecture Notes in Computer Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-43990-2_65
GitHub
Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation
Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, George Bebis, Sal Baker
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)  ·  18 Apr 2023  ·  doi:10.1109/isbi53787.2023.10230342
GitHub

All

2025

Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation
Enhancing efficient deep learning models with multimodal, multi-teacher insights for medical image segmentation
Khondker Fariha Hossain, Sharif Amit Kamran, Joshua Ong, Alireza Tavakkoli
Scientific Reports  ·  07 May 2025  ·  doi:10.1038/s41598-025-91430-0
Teach-Former, a novel knowledge distillation (KD) framework that leverages a Transformer backbone to effectively condense the knowledge of multiple teacher models into a single, streamlined student model. Moreover, it excels in the contextual and spatial interpretation of relationships across multimodal images for more accurate and precise segmentation.
GitHub
Manuscript Source
knowledge-distillation oncology

2024

FA4SANS-GAN: A Novel Machine Learning Generative Adversarial Network to Further Understand Ophthalmic Changes in Spaceflight Associated Neuro-Ocular Syndrome SANS
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  ·  01 Jul 2024  ·  doi:10.1016/j.xops.2024.100493
SANS-CNN: An automated machine learning technique for spaceflight associated neuro-ocular syndrome with astronaut imaging data
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  ·  28 Mar 2024  ·  doi:10.1038/s41526-024-00364-w

2023

Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation
Swin-SFTNet : Spatial Feature Expansion and Aggregation Using Swin Transformer for Whole Breast Micro-Mass Segmentation
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, George Bebis, Sal Baker
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)  ·  18 Apr 2023  ·  doi:10.1109/isbi53787.2023.10230342
GitHub
Detecting spaceflight associated neuro-ocular syndrome SANS using light-weight convolutional neural networks
Detecting spaceflight associated neuro-ocular syndrome (SANS) using light-weight convolutional neural networks
Sharif Amit Kamran, Khondker Fariha Hossain, Joshua Ong, Alireza Tavakkoli, Andrew G Lee
Journal of Vision (ARVO)  ·  01 Jan 2023
Revolutionizing Space Health Swin-FSR : Advancing Super-Resolution of Fundus Images for SANS Visual Assessment Technology
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
Lecture Notes in Computer Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-43990-2_65
GitHub

2022

Software for segmenting and quantifying calcium signals using multi-scale generative adversarial networks
Software for segmenting and quantifying calcium signals using multi-scale generative adversarial networks
Hussein Moghnieh, Sharif Amit Kamran, Khondker Fariha Hossain, Nyanbol Kuol, Sarah Riar, Allison Bartlett, Alireza Tavakkoli, Salah A. Baker
STAR Protocols  ·  01 Dec 2022  ·  doi:10.1016/j.xpro.2022.101852
New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning
New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning
Sharif Amit Kamran, Khondker Fariha Hossain, Hussein Moghnieh, Sarah Riar, Allison Bartlett, Alireza Tavakkoli, Kenton M. Sanders, Salah A. Baker
iScience  ·  01 May 2022  ·  doi:10.1016/j.isci.2022.104277
A generative adversarial deep neural network to translate between ocular imaging modalities while maintaining anatomical fidelity
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)  ·  01 Jan 2022
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
Feature Representation Learning for Robust Retinal Disease Detection from Optical Coherence Tomography Images
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-16525-2_3
A Game Theoretical Vulnerability Analysis of Adversarial Attack
A Game Theoretical Vulnerability Analysis of Adversarial Attack
Khondker Fariha Hossain, Alireza Tavakkoli, Shamik Sengupta
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-20716-7_29
GitHub
Virtual-Reality Based Vestibular Ocular Motor Screening for Concussion Detection Using Machine-Learning
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
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-20716-7_18
ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks
ECG-ATK-GAN: Robustness Against Adversarial Attacks on ECGs Using Conditional Generative Adversarial Networks
Khondker Fariha Hossain, Sharif Amit Kamran, Alireza Tavakkoli, Xingjun Ma
Lecture Notes in Computer Science  ·  01 Jan 2022  ·  doi:10.1007/978-3-031-17721-7_8
GitHub

2021

ECG-Adv-GAN: Detecting ECG Adversarial Examples with Conditional Generative Adversarial Networks
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
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)  ·  01 Dec 2021  ·  doi:10.1109/icmla52953.2021.00016
GitHub
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
VTGAN: Semi-supervised Retinal Image Synthesis and Disease Prediction using Vision Transformers
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Salah A. Baker
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)  ·  01 Oct 2021  ·  doi:10.1109/iccvw54120.2021.00362
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks
Attention2AngioGAN: Synthesizing Fluorescein Angiography from Retinal Fundus Images using Generative Adversarial Networks
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod
2020 25th International Conference on Pattern Recognition (ICPR)  ·  10 Jan 2021  ·  doi:10.1109/icpr48806.2021.9412428
RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network
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, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker
Lecture Notes in Computer Science  ·  01 Jan 2021  ·  doi:10.1007/978-3-030-87237-3_4

2020

A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs
A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs
Alireza Tavakkoli, Sharif Amit Kamran, Khondker Fariha Hossain, Stewart Lee Zuckerbrod
Scientific Reports  ·  09 Dec 2020  ·  doi:10.1038/s41598-020-78696-2
Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography
Fundus2Angio: A Conditional GAN Architecture for Generating Fluorescein Angiography Images from Retinal Fundus Photography
Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Zuckerbrod, Salah A. Baker, Kenton M. Sanders
Lecture Notes in Computer Science  ·  01 Jan 2020  ·  doi:10.1007/978-3-030-64559-5_10