research
∙
12/29/2022
Current State of Community-Driven Radiological AI Deployment in Medical Imaging
Artificial Intelligence (AI) has become commonplace to solve routine eve...
share
research
∙
02/16/2022
A multi-reconstruction study of breast density estimation using Deep Learning
Breast density estimation is one of the key tasks in recognizing individ...
research
∙
08/25/2021
Cascading Neural Network Methodology for Artificial Intelligence-Assisted Radiographic Detection and Classification of Lead-Less Implanted Electronic Devices within the Chest
Background Purpose: Chest X-Ray (CXR) use in pre-MRI safety screenin...
research
∙
09/28/2020
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application
Screening mammograms are a routine imaging exam performed to detect brea...
research
∙
09/25/2020
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning
The training of deep learning models typically requires extensive data, ...
research
∙
08/10/2020
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-W
Coronary Computed Tomography Angiography (CCTA) evaluation of chest-pain...
research
∙
02/24/2020
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis
This study investigates whether a machine-learning-based system can pred...
research
∙
11/26/2019
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks
We propose a fully automated algorithm based on a deep-learning framewor...
research
∙
08/14/2019