Radiology Deep Network for the Automatic Segmentation and Quantification of Intracranial Hemorrhage on CT. January 28, 2021
Neurology | Pediatrics | Radiology Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. January 28, 2021
Radiology Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection Segmentation. December 23, 2020
Biomedical imaging | Microscopy | Pathology Numerical dark-field imaging using deep-learning. November 13, 2020
Medical Imaging | Radiology The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge. October 13, 2020
Gastroenterology | Hepatology | Oncology Application of artificial neural networks in detection and diagnosis of gastrointestinal and liver tumors. October 7, 2020
Oncology | Radiology A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0. July 7, 2020
Medical Informatics | Natural Language Processing Research on Chinese Medical Named Entity Recognition Based on Collaborative Cooperation of Multiple Neural Network Models. February 28, 2020
Computer Science | Environmental Science | Statistical Modeling Air quality prediction at new stations using spatially transferred bi-directional long short-term memory network. January 24, 2020
Epidemiology | Infectious Disease Prediction | Public Health A novel model for malaria prediction based on ensemble algorithms. December 26, 2019
Other Soft detection of 5-day BOD with sparse matrix in city harbor water using deep learning techniques. December 12, 2019
Environmental Health | Public Health Deep learning-based PM2.5 prediction considering the spatiotemporal correlations: A case study of Beijing, China. November 7, 2019