| 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 | 336 | 2019 |
| 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 | 35 | 2021 |
| 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 | 8 | 2021 |
| 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 | 8 | 2017 |
| 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 | 4 | 2015 |
| 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 | 3 | 2013 |
| 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 | 2 | 2021 |
| 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 | 1 | 2022 |
| Deep learning augmentation for medical image analysis F Altaf Edith Cowan University, 2022 | 1 | 2022 |
| Going Deep in Medical Image Analysis F Altaf, SMS Islam, N Akhtar, NK Janjua | | |
Dr. Syed Mohammed Shamsul Islam (...Senior Lecturer in Computer Science, Edith Cowan University, Perth, Western Australia確認したメール アドレス: ecu.edu.au
