Epidemiology | Informatics | Statistics DR-VIDAL – Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data. May 2, 2023
Pathology | Radiology Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection. January 30, 2023
Bioinformatics | Proteomics Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies. January 15, 2023
Cardiology | Radiology Attri-VAE: Attribute-based interpretable representations of medical images with variational autoencoders. January 13, 2023
Chemistry | Machine Learning | Materials Science Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion. January 9, 2023
Ophthalmology Early Glaucoma Detection by Using Style Transfer to Predict Retinal Nerve Fiber Layer Thickness Distribution on the Fundus Photograph. October 17, 2022
Orthodontics | Radiology A semi-supervised learning approach for automated 3D cephalometric landmark identification using computed tomography. September 28, 2022
Radiation Oncology | Radiology An uncertainty-aware deep learning architecture with outlier mitigation for prostate gland segmentation in radiotherapy treatment planning. September 16, 2022
Ophthalmology Development of Cumulative Order-Preserving Image Transformation Based Variational Autoencoder for Anterior Segment Optical Coherence Tomography Images. August 30, 2022
Personality Research | Psychology Exploring Factor Structures Using Variational Autoencoder in Personality Research. August 22, 2022
Bioinformatics | Computational Biology | Genomics scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model. August 8, 2022