Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models Conference Paper December, 2022
Distilling Knowledge from Ensembles of Cluster-Constrained-Attention Multiple-Instance Learners for Whole Slide Image Classification Conference Paper December, 2022
Detecting anomalous sequences in electronic health records using higher-order tensor networks... Journal November, 2022
Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction... Conference Paper November, 2022
A Roadmap for Edge Computing Enabled Automated Multidimensional Transmission Electron Microscopy Journal November, 2022
Enabling Autonomous Electron Microscopy for Networked Computation and Steering Conference Paper October, 2022
Using ensembles and distillation to optimize the deployment of deep learning models for the classification of electronic cancer pathology reports Journal September, 2022
In with the old, in with the new: machine learning for time to event biomedical research... Journal August, 2022