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Showing 2021 · eess.IVShow all
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eess.IV2021★ 104 cited
UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection
Moloud Abdar, Soorena Salari, Sina Qahremani +7
The COVID-19 (Coronavirus disease 2019) pandemic has become a major global threat to human health and well-being. Thus, the development of computer-aided detection (CAD) systems th…
eess.IV2021★ 187 cited
Applications of Deep Learning Techniques for Automated Multiple Sclerosis Detection Using Magnetic Resonance Imaging: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari +9
Multiple Sclerosis (MS) is a type of brain disease which causes visual, sensory, and motor problems for people with a detrimental effect on the functioning of the nervous system. I…