Multiple-target tracking in human and machine vision. - Shiva Kamkar; Fatemeh Ghezloo; Hamid Abrishami Moghaddam; Ali Borji; Reza Lashgari (PLoS Comput. Biol., 2020)

CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers. - Abdolreza Marefat; Mahdieh Marefat; Javad Hassannataj Joloudari; Mohammad Ali Nematollahi; Reza Lashgari (CoRR, 2022)

BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets. - Javad Hassannataj Joloudari; Sadiq Hussain; Mohammad Ali Nematollahi; Rouhollah Bagheri; Fatemeh Fazl; Roohallah Alizadehsani; Reza Lashgari (CoRR, 2022)

Brain-inspired multiple-target tracking using Dynamic Neural Fields. - Shiva Kamkar; Hamid Abrishami Moghaddam; Reza Lashgari; Wolfram Erlhagen (Neural Networks, 2022)

Identification of Clinical Features Associated with Mortality in COVID-19 Patients. - Rahimeh Eskandarian; Roohallah Alizadehsani; Mohaddeseh Behjati; Mehrdad Zahmatkesh; Zahra Alizadeh Sani; Azadeh Haddadi; Kourosh Kakhi; Mohamad Roshanzamir; Afshin Shoeibi; Sadiq Hussain; Fahime Khozeimeh; Mohammad Tayarani Darbandy; et al. (Oper. Res. Forum, 2023)

Reduced Deep Convolutional Activation Features (R-DeCAF) in Histopathology Images to Improve the Classification Performance for Breast Cancer Diagnosis. - Bahareh Morovati; Reza Lashgari; Mojtaba Hajihasani; Hasti Shabani (J. Digit. Imaging, 2023)

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets. - Javad Hassannataj Joloudari; Sadiq Hussain; Mohammad Ali Nematollahi; Rouhollah Bagheri; Fatemeh Fazl; Roohallah Alizadehsani; Reza Lashgari; Ashis Talukder (Soc. Netw. Anal. Min., 2023)