Oncology | Radiology From CNN to Transformer: A Review of Medical Image Segmentation Models. March 4, 2024
Cardiology | Radiology Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays. January 31, 2024
Cardiology | Pediatrics | Radiology Explanatory deep learning to predict elevated pulmonary artery pressure in children with ventricular septal defects using standard chest x-rays: a novel approach. January 29, 2024
Medical Imaging | Radiology Local Contrastive Learning for Medical Image Recognition. January 15, 2024
Radiology Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization. January 4, 2024
Radiology DualAttNet: Synergistic fusion of image-level and fine-grained disease attention for multi-label lesion detection in chest X-rays. November 24, 2023
Artificial Intelligence | Radiology Challenges of AI driven diagnosis of chest X-rays transmitted through smart phones: a case study in COVID-19. October 23, 2023
Infectious Diseases | Radiology An evaluation of lightweight deep learning techniques in medical imaging for high precision COVID-19 diagnostics. July 31, 2023
Radiology | Respiratory Medicine A review on lung disease recognition by acoustic signal analysis with deep learning networks. June 19, 2023
Critical Care Medicine | Internal Medicine | Radiology DeepCOVID-Fuse: A Multi-Modality Deep Learning Model Fusing Chest X-rays and Clinical Variables to Predict COVID-19 Risk Levels. May 27, 2023
Intensive Care Medicine | Radiology A deep learning model enables accurate prediction and quantification of pulmonary edema from chest X-rays. May 26, 2023
Radiology Differentiation of Fungal, Viral, and Bacterial Sepsis using Multimodal Deep Learning. April 24, 2023