6 citations · 8 across the 4 of their papers we have counts for
6 papers
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application
Vikash Gupta, Clayton Taylor, Sarah Bonnet +5
Screening mammograms are a routine imaging exam performed to detect breast cancer in its early stages to reduce morbidity and mortality attributed to this disease. In order to maxi…
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis during CCTA Evaluation of Chest-Pain in the Emergency Department: Preparing an Application for Real-World Use
Richard D. White, Barbaros S. Erdal, Mutlu Demirer +9
Coronary Computed Tomography Angiography (CCTA) evaluation of chest-pain patients in an Emergency Department (ED) is considered appropriate. While a negative CCTA interpretation su…
Constrained Generative Adversarial Network Ensembles for Sharable Synthetic Data Generation
Engin Dikici, Luciano M. Prevedello, Matthew Bigelow +2
The sharing of medical imaging datasets between institutions, and even inside the same institution, is limited by various regulations/legal barriers. Although these limitations are…
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis
Sema Candemir, Xuan V. Nguyen, Luciano M. Prevedello +3
Purpose: This study investigates whether a machine-learning-based system can predict the rate of cognitive decline in mildly cognitively impaired patients by processing only the cl…
Integrating AI into Radiology workflow: Levels of research, production, and feedback maturity
Engin Dikici, Matthew Bigelow, Luciano M. Prevedello +2
This report represents a roadmap for integrating Artificial Intelligence (AI)-based image analysis algorithms into existing Radiology workflows such that: (1) radiologists can sign…
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI
Engin Dikici, John L. Ryu, Mutlu Demirer +5
Brain Metastases (BM) complicate 20-40% of cancer cases. BM lesions can present as punctate (1 mm) foci, requiring high-precision Magnetic Resonance Imaging (MRI) in order to preve…