research
∙
04/13/2022
A deep learning algorithm for reducing false positives in screening mammography
Screening mammography improves breast cancer outcomes by enabling early ...
share
research
∙
01/23/2020
A multi-site study of a breast density deep learning model for full-field digital mammography and digital breast tomosynthesis exams
Purpose: To develop a Breast Imaging Reporting and Data System (BI-RADS)...
research
∙
01/23/2020
A Hypersensitive Breast Cancer Detector
Early detection of breast cancer through screening mammography yields a ...
research
∙
01/23/2020
Adaptation of a deep learning malignancy model from full-field digital mammography to digital breast tomosynthesis
Mammography-based screening has helped reduce the breast cancer mortalit...
research
∙
08/24/2018
Probabilistic Graphical Modeling approach to dynamic PET direct parametric map estimation and image reconstruction
In the context of dynamic emission tomography, the conventional processi...
research
∙
07/26/2018
DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning
The high prevalence of spinal stenosis results in a large volume of MRI ...
research
∙
03/27/2018