Narges Saeedizadeh

According to our database, Narges Saeedizadeh authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A new optimization approach based on neural architecture search to enhance deep U-Net for efficient road segmentation.

Narges Saeedizadeh, Seyed Mohammad Jafar Jalali, Burhan Khan, Parham Mohsenzadeh Kebria, Shady M. K. Mohamed

Knowl. Based Syst., 2024

2023

Biased Deep Learning Methods in Detection of COVID-19 Using CT Images: A Challenge Mounted by Subject-Wise-Split ISFCT Dataset.

Shiva Parsarad, Narges Saeedizadeh, Ghazaleh Jamalipour Soufi, Shamim Shafieyoon, Farzaneh Hekmatnia, Andrew Parviz Zarei, Samira Soleimany, Amir Yousefi, Hengameh Nazari, Pegah Torabi, Abbas S. Milani, Seyed Ali Madani Tonekaboni, Hossein Rabbani, Ali Hekmatnia, Rahele Kafieh

J. Imaging, 2023

2022

A Device-Independent, Shape Preserving Retinal Optical Coherence Tomography Image Alignment Method Applying TV-Unet for RPE Layer Detection.

Narges Saeedizadeh, Mahnoosh Tajmirriahi, Alireza Haghani, Zahra Amini, Elias Khalili Pour, Hamid Riazi-Esfahani, Kaveh Fadakar, Rahele Kafieh, Hossein Rabbani

IEEE Trans. Instrum. Meas., 2022

2021

COVID-19 in Iran: Forecasting Pandemic Using Deep Learning.

Rahele Kafieh, Roya Arian, Narges Saeedizadeh, Zahra Amini, Nasim Dadashi Serej, Shervin Minaee, Sunil Kumar Yadav, Atefeh Vaezi, Nima Rezaei, Shaghayegh Haghjooy Javanmard

Comput. Math. Methods Medicine, 2021

2020

COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network.

Shakib Yazdani, Shervin Minaee, Rahele Kafieh, Narges Saeedizadeh, Milan Sonka

CoRR, 2020

COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net.

Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka

CoRR, 2020