Oncology | Radiology S2DA-Net: Spatial and spectral-learning double-branch aggregation network for liver tumor segmentation in CT images. April 27, 2024
Oncology | Pathology From pixels to patient care: deep learning-enabled pathomics signature offers precise outcome predictions for immunotherapy in esophageal squamous cell cancer. February 22, 2024
Artificial Intelligence | Robotics End-to-end decentralized formation control using a graph neural network-based learning method. November 29, 2023
Machine Learning | Structural Engineering A time variant uncertainty propagation method for high-dimensional dynamic structural system via K-L expansion and Bayesian deep neural network. September 24, 2023
Bioinformatics | Genomics [Imputation method for dropout in single-cell transcriptome data]. September 4, 2023
Oncology | Pathology Outcome Supervised Deep Learning on Pathological Whole Slide Images for Survival Prediction of Immunotherapy in Non-Small Cell Lung Cancer Patients. May 6, 2023
Orthopedics | Radiology An automatic FreshRib fracture detection and positioning system using deep learning. March 27, 2023
Oncology | Radiology Integrated multi-dimensional deep neural network model improves prognosis prediction of advanced NSCLC patients receiving bevacizumab. March 3, 2023
Genomics | Immunology | Oncology Artificial intelligence applied in neoantigen identification facilitates personalized cancer immunotherapy. January 26, 2023
Pathology | Radiology Recognizing pathology of renal tumor from macroscopic cross-section image by deep learning. January 20, 2023
Artificial Intelligence in Healthcare | Biomedical Informatics | Knowledge Graphs Deep Denoising of Raw Biomedical Knowledge Graph From COVID-19 Literature, LitCovid, and Pubtator: Framework Development and Validation. August 4, 2022
Machine Learning | Medical Informatics | Natural Language Processing Chinese medical dialogue information extraction via contrastive multi-utterance inference. August 3, 2022