9 citations · 11 across the 3 of their papers we have counts for
3 papers
eess.IV2022
Generalization of Artificial Intelligence Models in Medical Imaging: A Case-Based Review
Rishi Gadepally, Andrew Gomella, Eric Gingold +1
The discussions around Artificial Intelligence (AI) and medical imaging are centered around the success of deep learning algorithms. As new algorithms enter the market, it is impor…
eess.IV2020★ 2 cited
Automated Segmentation of Vertebrae on Lateral Chest Radiography Using Deep Learning
Sanket Badhe, Varun Singh, Joy Li +1
The purpose of this study is to develop an automated algorithm for thoracic vertebral segmentation on chest radiography using deep learning. 124 de-identified lateral chest radiogr…
cs.CV2017★ 9 cited
Application of Deep Learning in Neuroradiology: Automated Detection of Basal Ganglia Hemorrhage using 2D-Convolutional Neural Networks
Vishal Desai, Adam E. Flanders, Paras Lakhani
Background: Deep learning techniques have achieved high accuracy in image classification tasks, and there is interest in applicability to neuroimaging critical findings. This study…