Shakib Yazdani

Studentischer Mitarbeiter

 

Universität des Saarlandes

Campus C3.1, Raum 0.02

E-Mail: shakib.yazdani(at)uni-saarland.de

Angaben zur Person

  • 2015 - 2020: BSc. (Information Technology), Isfahan University of Technology
  • Since 2021: MSc. (Data Science and Artificial Intelligence), Saarland University

Forschungsinteressen

  • Machine Learning
  • Machine Learning in Cybersecurity
  • Medical Imaging
  • Natural Language Processing

Veröffentlichungen

  • COVID TV-UNet, Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net, Accepted in Computer Methods and Programs in Biomedicine. Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka, 2021
  • COVID CT-Net, Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network, arXiv Pre-print. Shakib Yazdani, Shervin Minaee, Rahele Kafieh, Narges Saeedizadeh, Milan Sonka. 2020
  • Deep-COVID, Predicting COVID-19 From Chest X-Ray Images Using Deep Transfer Learning, Accepted in Medical Image Analysis Journal. Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi, 2020