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Fouzia Altaf
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Going deep in medical image analysis: concepts, methods, challenges, and future directions
F Altaf, SMS Islam, N Akhtar, NK Janjua
IEEE Access 7, 99540-99572, 2019
3272019
A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays
F Altaf, SMS Islam, NK Janjua
Neural Computing and Applications 33 (20), 14037-14048, 2021
342021
Boosting deep transfer learning for COVID-19 classification
F Altaf, SMS Islam, NK Janjua, N Akhtar
2021 IEEE International Conference on Image Processing (ICIP), 210-214, 2021
82021
Reconfigurable magnetic domain wall pinning using vortex-generated magnetic fields
ACH Hurst, JA Izaac, F Altaf, V Baltz, PJ Metaxas
Applied Physics Letters 110 (18), 2017
82017
Synthesis of Co-doped Sr-hexaferrites by Sol-gel Auto-combustion and its Electrical Characterization
F Altaf, S Atiq, S Riaz, S Naseem
Materials Today: Proceedings 2 (10), 5548-5551, 2015
42015
OPTIMIZING THE PREPARATION CONDITIONS OF CO-DOPED SRFE 12 O 19 AND INVESTIGATING ITS STRUCTURAL AND DIALECTICAL PROPERTIES.
F Altaf, S Atiq, S Riaz, S Naseem
Science International 25 (1), 2013
32013
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought
F Altaf, SMS Islam, N Akhtar
2021 Digital Image Computing: Techniques and Applications (DICTA), 01-08, 2021
22021
Pre-text Representation Transfer for Deep Learning with Limited and Imbalanced Data: Application to CT-Based COVID-19 Detection
F Altaf, SMS Islam, NK Janjua, N Akhtar
International Conference on Image and Vision Computing New Zealand, 119-130, 2022
12022
Deep learning augmentation for medical image analysis
F Altaf
Edith Cowan University, 2022
12022
Going Deep in Medical Image Analysis
F Altaf, SMS Islam, N Akhtar, NK Janjua
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Articles 1–10