Genetics | Infectious Diseases | Oncology ISMI-VAE: A deep learning model for classifying disease cells using gene expression and SNV data. April 23, 2024
Pulmonology | Radiology Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease. April 18, 2024
Artificial Intelligence | Computer Science eVAE: Evolutionary Variational Autoencoder. March 28, 2024
Ophthalmology Accuracy of generative deep learning model for macular anatomy prediction from optical coherence tomography images in macular hole surgery. March 23, 2024
Materials Science | Physics MagGen: A Graph-Aided Deep Generative Model for Inverse Design of Permanent Magnets. March 14, 2024
Bioinformatics | Oncology Deeply integrating latent consistent representations in high-noise multi-omics data for cancer subtyping. March 1, 2024
Bioinformatics | Computational Biology | Drug design Design of target specific peptide inhibitors using generative deep learning and molecular dynamics simulations. February 21, 2024
Bioinformatics | Computational Biology | Spatial transcriptomics Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics. February 7, 2024
Computer Vision | Machine Learning | Robotics Loop closure detection of visual SLAM based on variational autoencoder. February 5, 2024
Computational Chemistry | Drug Development | Pharmaceutical Sciences DrugHIVE: A Deep Hierarchical Variational Autoencoder for the Structure-Based Design of Drug-Like Molecules. January 8, 2024
Bioinformatics | Computer Science | Pharmacology TransVAE-DTA: Transformer and variational autoencoder network for drug-target binding affinity prediction. January 5, 2024
Bioinformatics | Drug design | Pharmacology Bayesian Optimization in the Latent Space of a Variational Autoencoder for the Generation of Selective FLT3 Inhibitors. December 19, 2023