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Abolfazl Zargari

Showing results (1-10 of 15) with videos related to

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Biorxiv : the Preprint Server for Biology|August 7, 2023
Enhanced cell segmentation with limited annotated data using generative adversarial networksAbolfazl Zargari, Najmeh Mashhadi, S Ali Shariati
Iscience|April 15, 2025
Enhanced cell tracking using a GAN-based super-resolution video-to-video time-lapse microscopy generative modelAbolfazl Zargari, Najmeh Mashhadi, S Ali Shariati
Biorxiv : the Preprint Server for Biology|June 25, 2024
Enhanced Cell Tracking Using A GAN-based Super-Resolution Video-to-Video Time-Lapse Microscopy Generative ModelAbolfazl Zargari, Najmeh Mashhadi, S Ali Shariati
Scientific Reports|May 11, 2021
COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray imagesAbolfazl Zargari Khuzani, Morteza Heidari, S Ali Shariati
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray imagesAbolfazl Zargari Khuzani, Morteza Heidari, S Ali Shariati
Iscience|May 6, 2024
Enhanced cell segmentation with limited training datasets using cycle generative adversarial networksAbolfazl Zargari, Benjamin R Topacio, Najmeh Mashhadi, et al.
Computer Methods and Programs in Biomedicine|August 25, 2019
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancerXuxin Chen, Abolfazl Zargari, Alan B Hollingsworth, et al.
International Journal of Medical Informatics|September 29, 2020
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithmsMorteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, et al.
Physics in Medicine and Biology|December 15, 2017
Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithmMorteza Heidari, Abolfazl Zargari Khuzani, Alan B Hollingsworth, et al.
Annals of Biomedical Engineering|July 28, 2018
Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural NetworksYue Du, Roy Zhang, Abolfazl Zargari, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
Biorxiv : the Preprint Server for Biology|August 7, 2023
Enhanced cell segmentation with limited annotated data using generative adversarial networksAbolfazl Zargari, Najmeh Mashhadi, S Ali Shariati
Iscience|April 15, 2025
Enhanced cell tracking using a GAN-based super-resolution video-to-video time-lapse microscopy generative modelAbolfazl Zargari, Najmeh Mashhadi, S Ali Shariati
Biorxiv : the Preprint Server for Biology|June 25, 2024
Enhanced Cell Tracking Using A GAN-based Super-Resolution Video-to-Video Time-Lapse Microscopy Generative ModelAbolfazl Zargari, Najmeh Mashhadi, S Ali Shariati
Scientific Reports|May 11, 2021
COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray imagesAbolfazl Zargari Khuzani, Morteza Heidari, S Ali Shariati
Medrxiv : the Preprint Server for Health Sciences|June 9, 2020
COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray imagesAbolfazl Zargari Khuzani, Morteza Heidari, S Ali Shariati
Iscience|May 6, 2024
Enhanced cell segmentation with limited training datasets using cycle generative adversarial networksAbolfazl Zargari, Benjamin R Topacio, Najmeh Mashhadi, et al.
Computer Methods and Programs in Biomedicine|August 25, 2019
Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancerXuxin Chen, Abolfazl Zargari, Alan B Hollingsworth, et al.
International Journal of Medical Informatics|September 29, 2020
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithmsMorteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, et al.
Physics in Medicine and Biology|December 15, 2017
Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithmMorteza Heidari, Abolfazl Zargari Khuzani, Alan B Hollingsworth, et al.
Annals of Biomedical Engineering|July 28, 2018
Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural NetworksYue Du, Roy Zhang, Abolfazl Zargari, et al.
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