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A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals
The results of this work have significant implications for patient treatment and for ongoing investigations into the early detection of Parkinson's disease.
Localizing the Origin of Idiopathic Ventricular Arrhythmia from ECG Using an Attention-Based Recurrent Convolutional Neural Network
The proposed method shows promise toward automatic and noninvasive evaluation of IVA patients before cardiac catheter ablation.
Oscillometric Blood Pressure Measurement Using a Hybrid Deep Morpho-Temporal Representation Learning Framework
Oscillometric monitors are the most common automated blood pressure (BP) measurement devices used in non-specialist settings.
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans
Segmentation of lung tissue in computed tomography (CT) images is a precursor to most pulmonary image analysis applications.
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review
Next, the discussion section discusses the results of this review, and future work in CVDs diagnosis from CMR images and DL techniques are outlined.
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