research
∙
03/27/2023
HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations
Publicly available collections of drug-like molecules have grown to comp...
share
research
∙
10/31/2022
Evaluating Point-Prediction Uncertainties in Neural Networks for Drug Discovery
Neural Network (NN) models provide potential to speed up the drug discov...
research
∙
01/08/2022
Spatio-Temporal Tuples Transformer for Skeleton-Based Action Recognition
Capturing the dependencies between joints is critical in skeleton-based ...
research
∙
04/09/2021
High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models
Structure-based Deep Fusion models were recently shown to outperform sev...
research
∙
05/17/2020
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference
Predicting accurate protein-ligand binding affinity is important in drug...
research
∙
12/09/2019
Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data
Breast CT provides image volumes with isotropic resolution in high contr...
research
∙
09/25/2019
Deep-learning-based Breast CT for Radiation Dose Reduction
Cone-beam breast computed tomography (CT) provides true 3D breast images...
research
∙
07/02/2019
Dual Network Architecture for Few-view CT --Trained on ImageNet Data and Transferred for Medical Imaging
X-ray computed tomography (CT) reconstructs cross-sectional images from ...
research
∙
06/17/2019