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Expert Systems with Applications|January 9, 2023
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray imagesZahid Ullah, Muhammad Usman, Jeonghwan Gwak
Scientific Reports|January 7, 2023
Densely attention mechanism based network for COVID-19 detection in chest X-raysZahid Ullah, Muhammad Usman, Siddique Latif, et al.
Scientific Reports|June 5, 2023
SSMD-UNet: semi-supervised multi-task decoders network for diabetic retinopathy segmentationZahid Ullah, Muhammad Usman, Siddique Latif, et al.
Sensors (Basel, Switzerland)|April 3, 2021
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning ClassifiersJaeyong Kang, Zahid Ullah, Jeonghwan Gwak
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|January 15, 2023
Residual attention based uncertainty-guided mean teacher model for semi-supervised breast masses segmentation in 2D ultrasonographyMuhammad Umar Farooq, Zahid Ullah, Jeonghwan Gwak
Computers in Biology and Medicine|October 28, 2023
DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographsMuhammad Umar Farooq, Zahid Ullah, Asifullah Khan, et al.
Plos One|July 14, 2022
Feature-level ensemble approach for COVID-19 detection using chest X-ray imagesThi Kieu Khanh Ho, Jeonghwan Gwak
Scientific Reports|January 30, 2023
Prioritization of thermal energy techniques by employing picture fuzzy soft power average and geometric aggregation operatorsTahir Mahmood, Jabbar Ahmmad, Jeonghwan Gwak, et al.
Digital Health|March 6, 2026
Deep learning-based multi-class classification of thyroid disorders on Tc-99m scintigraphy using modified DenseNet-201Hafiz Muhammad Usman Ghani, Javed Khan, Naimat Ullah Khan, et al.
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