Neurology | Pulmonology | Radiology Saliency-driven explainable deep learning in medical imaging: bridging visual explainability and statistical quantitative analysis. June 22, 2024
Artificial Intelligence | Radiology | Surgery Minimization of occurrence of retained surgical items using machine learning and deep learning techniques: a review. June 18, 2024
Biomedical Informatics | Public Health A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records. May 25, 2024
Bioinformatics | Computational Biology | Genomics MOCAT: multi-omics integration with auxiliary classifiers enhanced autoencoder. March 5, 2024
Bioinformatics | Oncology | Pharmacology Interpreting drug synergy in breast cancer with deep learning using target-protein inhibition profiles. February 29, 2024
Gastroenterology Endoscopy-based IBD identification by a quantized deep learning pipeline. November 24, 2023
Bioinformatics | Genomics | Oncology DeepAutoGlioma: a deep learning autoencoder-based multi-omics data integration and classification tools for glioma subtyping. November 16, 2023
Oncology | Pathology Assessment of emerging pretraining strategies in interpretable multimodal deep learning for cancer prognostication. July 22, 2023
Epidemiology | Gastroenterology | Oncology Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study. July 18, 2023
Bioinformatics | Biology A Gated Recurrent Unit based architecture for recognizing ontology concepts from biological literature. September 28, 2022
Cardiology | Data Science | Machine Learning | Pulmonology Neural network methods for diagnosing patient conditions from cardiopulmonary exercise testing data. August 13, 2022
Bioinformatics | Computational Biology | Oncology Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning. April 24, 2022