Computer Vision | Deep Learning | Waste Management GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management. December 19, 2023
Radiology Deep Learning Framework for Liver Segmentation from -Weighted MRI Images. November 14, 2023
Sericulture Explainable deep learning model for automatic mulberry leaf disease classification. October 5, 2023
Gastroenterology | Medical Imaging IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. September 28, 2023
Computer Vision | Deep Learning | Sign Language Recognition Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. August 26, 2023
Neurology | Radiology A Deep Learning-Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection Using Computed Tomography Images. August 12, 2023
Neurology A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound. June 28, 2023
Infectious Disease | Internal Medicine | Radiology BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. June 26, 2023
Cardiology | Radiology Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect. May 27, 2023
Biomedical Engineering | Neurology MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. May 27, 2023
Infectious Diseases | Pulmonology | Radiology A Real Time Method for Distinguishing COVID-19 Utilizing 2D-CNN and Transfer Learning. May 13, 2023
Biomedical Engineering | Digital Health | Public Health PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection. April 3, 2023