Clinical Research Education application of the NLST data |
Kenneth Christopher |
Harvard Medical School |
NLST |
Apr 12, 2021 |
NLST-781 |
Distribution of NLST imaging and limited clinical data through NCI public image repositories |
Keyvan Farahani |
National Cancer Institute |
NLST |
Apr 12, 2021 |
NLST-780 |
Investigation of alternative screening trial endpoints |
Phil Prorok |
NCI |
NLST |
Apr 5, 2021 |
NLST-779 |
Understanding the Robustness and Explainability of Machine Learning Algorithms Applied to Computed Tomography Volumes |
Michal Kucer |
Triad National Security, LLC |
NLST |
Mar 30, 2021 |
NLST-778 |
Survival Prediction |
Ye Yue |
Shanghai Jiao Tong University |
NLST |
Mar 30, 2021 |
NLST-775 |
Multimodal patient predictions |
Javier Alvarez Valle |
Microsoft |
NLST |
Mar 30, 2021 |
NLST-776 |
Identification and Quantification of Cardiac Calcium and cardiovascular Risk Stratification |
Ashish Gautam |
KardioLabs LLC |
NLST |
Mar 30, 2021 |
NLST-774 |
Machine Learning for Lung Nodule Detection and Diagnosis Classification |
Mehmet Kaya |
Florida Institute of Technology |
NLST |
Mar 30, 2021 |
NLST-777 |
Data-driven mathematical modeling approach for estimating lesion potency in lung cancer |
Souvik Roy |
University of Texas at Arlington |
NLST |
Mar 22, 2021 |
NLST-773 |
Predicting outcome of lung cancer patients using deep learning |
HÃ¥vard Danielsen |
Oslo University Hospital |
NLST |
Mar 22, 2021 |
NLST-772 |
Deep Learning for Whole Slide Image and Clinical Outcome Analysis in Lung Cancer Patients |
Min Yuan |
Anhui Medical University |
NLST |
Mar 22, 2021 |
NLST-771 |
Dysanapsis and lung cancer |
Benjamin Smith |
Columbia University |
NLST |
Mar 10, 2021 |
NLST-768 |
Automated assessment of cardiovascular disease risk from CTs using deep learning |
Shazia Akbar |
Altis Labs, Inc. |
NLST |
Mar 10, 2021 |
NLST-770 |
Development of clinically applied recurrence prediction model through artificial intelligence |
Sung Yong Kim |
Infinitt Healthcare co,ltd |
NLST |
Mar 10, 2021 |
NLST-767 |
Longitudinal Deep Radiomic Signatures for Lung Cancer Prognosis and Treatment Response Prediction (renewal of project NLST-256) |
Lisa Di Jorio |
Imagia Cybernetics |
NLST |
Mar 9, 2021 |
NLST-761 |
Predicting Mortality and Causes from Chest CT Images |
david wilson |
UPMC |
NLST |
Mar 9, 2021 |
NLST-762 |
Using Low-Dose Lung Computed Tomography to Predict the Risk of Lung Cancer |
Gigin Lin |
Chang Gung Memorial Hospital |
NLST |
Mar 8, 2021 |
NLST-764 |
Creating a reference distribution of predicted lung cancer risk |
Scott Lee |
Vanderbilt University Medical Center |
NLST |
Mar 8, 2021 |
NLST-763 |
Unsupervised Deep Learning Detection of Lung Cancer Nodules |
Ouwen Huang |
Gradient Health |
NLST |
Feb 8, 2021 |
NLST-758 |
A Lung Cancer Risk Prediction Model Through bio-Medical Data Using Rule Extraction and CT image abnormality detection |
Jerry Liu |
Prairie View A&M University |
NLST |
Feb 5, 2021 |
NLST-756 |