16 citations · 16 across the 1 of their papers we have counts for
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Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang +3
Deep learning has significantly advanced automatic medical diagnostics and released the occupation of human resources to reduce clinical pressure, yet the persistent challenge of d…
Transfer or Self-Supervised? Bridging the Performance Gap in Medical Imaging
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang +3
Recently, transfer learning and self-supervised learning have gained significant attention within the medical field due to their ability to mitigate the challenges posed by limited…
MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks
Laith Alzubaidi, J. Santamaría, Mohamed Manoufali +6
Deep Learning (DL) requires a large amount of training data to provide quality outcomes. However, the field of medical imaging suffers from the lack of sufficient data for properly…