Approved NLST Projects
Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Automatic Coronary Calcium Scoring on both chest and cardiac CT using deep learning | Yufeng Deng | Infervision US Inc. | NLST | Apr 9, 2019 | NLST-496 |
| Machine learning based lung cancer identification and characterization | Richard Vlasimsky | IMIDEX | NLST | Apr 5, 2019 | NLST-495 |
| Predicting the location and interval of lung nodule occurrence from low-dose CT | Matthew Blackledge | Institute of Cancer Research | NLST | Apr 4, 2019 | NLST-493 |
| Out of pocket costs associated with Lung Cancer Screening | Daniel Reuland | University of North Carolina at Chapel Hill Comprehensive Cancer Center | NLST | Apr 2, 2019 | NLST-492 |
| Optimize radiological workflows with automated diagnostics | Daniel Drieling | MeVis Medical Solutions AG | NLST | Mar 29, 2019 | NLST-491 |
| Quantitative CT Analysis to Predict Future Lung Cancer | TIMOTHY CLOUSER | Quantitative Imaging Solutions, LLC | NLST | Mar 29, 2019 | NLST-490 |
| Gender-specific susceptibility and hormonal influence on lung cancer incidence | Juan Wisnivesky | Icahn School of Medicine at Mount Sinai | NLST | Mar 6, 2019 | NLST-487 |
| Machine Learning Classification of Nodules | Michal Lada | University of Rochester | NLST | Feb 19, 2019 | NLST-484 |
| Lung cancer case prioritization tool with automated CT scan classification | Ramune Dauksaite | Birkbeck College, University of London | NLST | Feb 19, 2019 | NLST-483 |
| Prediction of NSCLS from CT scan and habitual data of a person after two years by using CNN and LSTM machine learning techniques | Mayur Munshi | University of Manchester | NLST | Feb 14, 2019 | NLST-481 |
| Therapixel-AI | Stephanie Lopez | Therapixel | NLST | Feb 5, 2019 | NLST-478 |
| Incorporating gender differences in lung cancer screening | Kevin ten Haaf | Erasmus MC | NLST | Feb 4, 2019 | NLST-480 |
| Data-driven Imaging Biomarker (DIB) study in NLST datasets | Ki Hwan Kim | Lunit | NLST | Feb 1, 2019 | NLST-474 |
| Automatic heart segmentation using machine learning techniques | Julian Bernard | LARALAB UG | NLST | Jan 31, 2019 | NLST-477 |
| Evaluating the Potential for Biomarker Use in CT Screening | Hilary Robbins | International Agency for Research on Cancer (IARC) | NLST | Jan 31, 2019 | NLST-476 |
| Screening for Heart Disease by Coronary Calcium | Ryan Chamberlain | Imbio, LLC | NLST | Jan 29, 2019 | NLST-473 |
| Multi-Modal Deep Learning for Predicting Screening Outcome from Imaging and Structured Data | Rebecca Simpson | J&B Engineering | NLST | Jan 24, 2019 | NLST-472 |
| A novel approach to lung cancer detection and prediction using biomechanics-enhanced artificial intelligence | Hadi Nia | Boston University | NLST | Jan 18, 2019 | NLST-471 |
| Quantifying early lung fibrosis using deep learning | Joseph Jacob | University College London | NLST | Jan 15, 2019 | NLST-468 |
| Estimating the optimal positivity criterion for lung cancer screening with low-dose computed tomography: A decision modeling approach | Rowan Iskandar | Brown University | NLST | Jan 7, 2019 | NLST-467 |