Neurology | Radiology Deep learning-based magnetic resonance imaging analysis for chronic cerebral hypoperfusion risk. May 31, 2024
Oncology | Pulmonology | Radiology Development and External Validation of a Multimodal Integrated Feature Neural Network (MIFNN) for the Diagnosis of Malignancy in Small Pulmonary Nodules (≤10 mm). April 29, 2024
Data Science | Environmental Science | Geography Optimizing Machine Learning Algorithms for Landslide Susceptibility Mapping along the Karakoram Highway, Gilgit Baltistan, Pakistan: A Comparative Study of Baseline, Bayesian, and Metaheuristic Hyperparameter Optimization Techniques. August 12, 2023
Oncology | Pulmonology | Radiology Deep-Learning Model of ResNet Combined with CBAM for Malignant-Benign Pulmonary Nodules Classification on Computed Tomography Images. June 28, 2023
Ophthalmology Global trends and performances in diabetic retinopathy studies: A bibliometric analysis. May 1, 2023
Immunology | Oncology | Precision Medicine | Radiology Self-supervised contrastive learning using CT images for PD-1/PD-L1 expression prediction in hepatocellular carcinoma. March 20, 2023
Transportation Safety | Urban Planning GATR: A Road Network Traffic Violation Prediction Method Based on Graph Attention Network. February 25, 2023
Epilepsy | Neurology A multi-frame network model for predicting seizure based on sEEG and iEEG data. December 1, 2022
Oncology | Pathology | Radiology CT-based transformer model for non-invasively predicting the Fuhrman nuclear grade of clear cell renal cell carcinoma. October 17, 2022
Biomedical Engineering | Neurology Unsupervised layer-wise feature extraction algorithm for surface electromyography based on information theory. September 2, 2022
Oncology | Pathology | Radiology Deep Learning Using CT Images to Grade Clear Cell Renal Cell Carcinoma: Development and Validation of a Prediction Model. June 10, 2022
Data Science | Environmental Science A theory-guided graph networks based PM forecasting method. December 1, 2021