Neurology | Psychiatry DeepComBat: A statistically motivated, hyperparameter-robust, deep learning approach to harmonization of neuroimaging data. July 26, 2024
Neurology | Radiology Distinct subtypes of spatial brain metabolism patterns in Alzheimer’s disease identified by deep learning-based FDG PET clusters. September 21, 2023
Bioinformatics | Cell Biology | Pathology Learning consistent subcellular landmarks to quantify changes in multiplexed protein maps. May 29, 2023
Computer Science | Neurology DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data. May 10, 2023
Deep Learning | Materials Science | Optics Exploring the limits of metasurface polarization multiplexing capability based on deep learning. May 9, 2023
Chemoinformatics | Pharmacology Predicting Potent Compounds Using a Conditional Variational Autoencoder Based upon a New Structure-Potency Fingerprint. February 25, 2023
Chemistry | Materials Science | Nanotechnology DeepStruc: towards structure solution from pair distribution function data using deep generative models. February 17, 2023
Biochemistry | Biomolecular Modeling | Chemistry Temporally Coherent Backmapping of Molecular Trajectories From Coarse-Grained to Atomistic Resolution. November 23, 2022
Bioinformatics | Pharmaceutical Sciences FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery. July 16, 2022
Other Generating 3D molecules conditional on receptor binding sites with deep generative models. March 31, 2022
Bioinformatics | Drug design | Pharmacology A Deep-Learning Proteomic-Scale Approach for Drug Design. December 28, 2021
Chemistry | Pharmaceutical Sciences Molecular generative model based on conditional variational autoencoder for de novo molecular design. November 14, 2018