Validation of pre-trained deep learning algorithms on NLST data. |
Ammar Jagirdar |
Qure.ai |
NLST |
May 7, 2021 |
NLST-793 |
Optimizing lung cancer treatments from public clinical trial data |
Shimon Sheiba |
Causalis.ai |
NLST |
Apr 22, 2021 |
NLST-729 |
Image Synthesis for Data Augmentation in Medical CT using Deep Learning |
Klaus Mueller |
Stony Brook University |
NLST |
Apr 21, 2021 |
NLST-787 |
Multimodal Data Fusion of Radiomic, Pathomic, and Semantic Features to Classify Pulmonary Nodules |
William Hsu |
David Geffen School of Medicine at UCLA |
NLST |
Apr 19, 2021 |
NLST-785 |
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 |
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 |
Andreas Kleppe |
Institute for Cancer Genetics and Infomatics, Oslo University Hospital |
NLST |
Mar 22, 2021 |
NLST-772 |
Dysanapsis and lung cancer |
Benjamin Smith |
The Trustees of Columbia University in the City of New York |
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 |