research
∙
04/16/2023
Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging
Self-supervised learning is crucial for clinical imaging applications, g...
share
research
∙
11/02/2022
RegCLR: A Self-Supervised Framework for Tabular Representation Learning in the Wild
Recent advances in self-supervised learning (SSL) using large models to ...
research
∙
10/30/2022
Medical Codes Prediction from Clinical Notes: From Human Coders to Machines
Prediction of medical codes from clinical notes is a practical and essen...
research
∙
10/28/2022
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
The medical codes prediction problem from clinical notes has received su...
research
∙
07/10/2021
Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction from Clinical Notes by Machines
Prediction of medical codes from clinical notes is both a practical and ...
research
∙
07/13/2020
Deep Claim: Payer Response Prediction from Claims Data with Deep Learning
Each year, almost 10 plans). With the cost to recover these denials and ...
research
∙
07/04/2019
LumièreNet: Lecture Video Synthesis from Audio
We present LumièreNet, a simple, modular, and completely deep-learning b...
research
∙
04/27/2019
Deep Learning to Predict Student Outcomes
The increasingly fast development cycle for online course contents, alon...
research
∙
09/07/2018
GritNet 2: Real-Time Student Performance Prediction with Domain Adaptation
Increasingly fast development and update cycle of online course contents...
research
∙
04/19/2018
