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Using Deep Learning-based Features Extracted from CT scans to Predict Outcomes in COVID-19 Patients
For determining both the patient outcomes (ICU admission and death), a novel methodology is proposed by combining multi-modal features, extracted from Computed Tomography (CT) scans and Electronic Health Record (EHR) data.
Multi-Domain Few-Shot Learning and Dataset for Agricultural Applications
Using our proposed architecture, we conduct extensive experiments on multiple datasets showing the effectiveness of our proposed model.
Pose-based Sign Language Recognition using GCN and BERT
Recent pose-based architectures for WSLR either model both the spatial and temporal dependencies among the poses in different frames simultaneously or only model the temporal information without fully utilizing the spatial information.
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