Going Deep in Medical Image Analysis: Concepts, Methods, Challenges, and Future Directions. - Fouzia Altaf; Syed M. S. Islam; Naveed Akhtar; Naeem Khalid Janjua (IEEE Access, 2019)

Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought. - Fouzia Altaf; Syed M. S. Islam; Naveed Akhtar (DICTA, 2021)

Boosting Deep Transfer Learning For Covid-19 Classification. - Fouzia Altaf; Syed M. S. Islam; Naeem Khalid Janjua; Naveed Akhtar (ICIP, 2021)

A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays. - Fouzia Altaf; Syed M. S. Islam; Naeem Khalid Janjua (Neural Comput. Appl., 2021)

Pre-text Representation Transfer for Deep Learning with Limited and Imbalanced Data: Application to CT-Based COVID-19 Detection. - Fouzia Altaf; Syed M. S. Islam; Naeem Khalid Janjua; Naveed Akhtar (IVCNZ, 2022)

Pre-text Representation Transfer for Deep Learning with Limited Imbalanced Data : Application to CT-based COVID-19 Detection. - Fouzia Altaf; Syed M. S. Islam; Naeem Khalid Janjua; Naveed Akhtar (CoRR, 2023)