Bioinformatics | Chemistry | Data Science Clustering Molecules at a Large Scale: Integrating Spectral Geometry with Deep Learning. August 29, 2024
Bioinformatics | Genomics A deep learning framework for denoising and ordering scRNA-seq data using adversarial autoencoder with dynamic batching. May 15, 2024
Bioinformatics | Computational Biology | Genomics A deep learning adversarial autoencoder with dynamic batching displays high performance in denoising and ordering scRNA-seq data. February 16, 2024
Orthopedics | Radiology DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs. October 28, 2023
Bioinformatics | Genomics scSemiAAE: a semi-supervised clustering model for single-cell RNA-seq data. May 26, 2023
Bioinformatics | Genomics Integrating Multiple Single-Cell RNA Sequencing Datasets Using Adversarial Autoencoders. March 29, 2023
Biomechanics | Deep Learning | Orthopedics Generative deep learning applied to biomechanics: A new augmentation technique for motion capture datasets. November 4, 2022
Chemistry | Electrical Engineering | Materials Science Efficient Adversarial Generation of Thermally Activated Delayed Fluorescence Molecules. June 6, 2022
Bioinformatics | Oncology AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-types and Extracting Biologically Relevant Genes. March 15, 2021
Cheminformatics | Machine Learning | Pharmaceutical Sciences Generative chemistry: drug discovery with deep learning generative models. February 5, 2021
Cardiology | Radiology Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning. December 1, 2020
Bioinformatics | Pharmacology Molecular Generation for Desired Transcriptome Changes With Adversarial Autoencoders. May 4, 2020