1 citations · 2 across the 3 of their papers we have counts for
4 papers
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 K. Janjua +1
Annotating medical images for disease detection is often tedious and expensive. Moreover, the available training samples for a given task are generally scarce and imbalanced. These…
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
Deep learning is gaining instant popularity in computer aided diagnosis of COVID-19. Due to the high sensitivity of Computed Tomography (CT) to this disease, CT-based COVID-19 dete…
Boosting Deep Transfer Learning for COVID-19 Classification
Fouzia Altaf, Syed M. S. Islam, Naeem K. Janjua +1
COVID-19 classification using chest Computed Tomography (CT) has been found pragmatically useful by several studies. Due to the lack of annotated samples, these studies recommend t…
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
Fouzia Altaf, Syed M. S. Islam, Naveed Akhtar +1
Medical Image Analysis is currently experiencing a paradigm shift due to Deep Learning. This technology has recently attracted so much interest of the Medical Imaging community tha…