Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
Filter results of approved projects table below
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Ensemble Learners for Boosted Explanatory Predictive Model of Lung Cancer Outcomes | Ahmed Hassoon | Johns Hopkins Bloomberg School of Public Health | NLST | Apr 27, 2018 | NLST-407 |
| Machine Learning based lung nodule detection and malignancy prediction from low dose computed tomography (LDCT) images | Tina Kapur | Brigham and Women's Hospital | NLST | Apr 26, 2018 | NLST-408 |
| The usage of machine learning algorithms in predicting mortality among cancer patients. | Dawid Siwicki | University of Warsaw | NLST | Apr 23, 2018 | NLST-405 |
| Algorithm development on lung medical image | Jingya Liu | City College of New York, City University of New York | NLST | Apr 17, 2018 | NLST-401 |
| Pulmonary Nodule Detection in Lung CT Images using Deep Learning Networks | Tsvi Lev | NEC Corporation of America (Israeli Research Labs) | NLST | Apr 17, 2018 | NLST-400 |
| Estimation of natural progression and survival rates for lung cancer based on NLST project | Sherry Yueh-Hsia CHIU | Chang Gung University | NLST | Apr 17, 2018 | NLST-358 |
| Deep learning for early diagnosis of lung cancer using low-dose CT scans | Safak Yakti | Binghamton University | NLST | Apr 9, 2018 | NLST-398 |
| Prediction of abnormalities in Chest X-Rays with deep learning techniques | Sasa Grbic | Siemens Medical Solutions | NLST | Apr 9, 2018 | NLST-397 |
| Artificial Intelligence in Oncology | Scott Johnson | Varian | NLST | Apr 9, 2018 | NLST-399 |
| Racial differences in the smoking duration and smoking dose attributable risk of lung cancer | Brid Ryan | NCI | NLST | Mar 28, 2018 | NLST-396 |
| Computer-aided assessment of the chest from a Lung Cancer Screening population | Benedikt Graf | IBM Watson Health | NLST | Mar 9, 2018 | NLST-394 |
| Using generative adversarial neural networks to create synthetic images for improved classification of lung cancer | Caleb Bradberry | Radford University | NLST | Feb 23, 2018 | NLST-392 |
| Comparing Baseline Characteristics and Outcomes of a Minority-Based Lung Cancer Screening Program to the National Lung Screening Trial | Mary Pasquinelli | University of Illinois Hospital and Health Sciences System | NLST | Feb 13, 2018 | NLST-391 |
| Edge detection training of a deep learning algorithm using a 3D data set | William Randazzo | AutoRad, LLC | NLST | Feb 12, 2018 | NLST-389 |
| Lung Interval Challenge | Keyvan Faharani | CIP, NCI | NLST | Feb 12, 2018 | NLST-390 |
| Lung Nodule Detection using Deep Learning | Vismantas Dilys | Canon Medical Research | NLST | Jan 25, 2018 | NLST-388 |
| Comprehensive Lung Cancer Assessment via Deep Learning | Qian Li | VoxelCloud, inc. | NLST | Jan 10, 2018 | NLST-386 |
| Automated Detection of Lung Cancer From LDCT | Warren Clarida | IDx LLC | NLST | Jan 8, 2018 | NLST-385 |
| Deep Learning at Chest Radiography and CT: Automated Detection and Diagnosis of Cancers. | Daiju Ueda | Department of Radiology and Interventional Radiology, Graduate School of Medicine, Osaka City University | NLST | Jan 2, 2018 | NLST-384 |
| Machine learning to predict risk from chest radiographs and clinical factors | Michael Lu | The General Hospital Corporation d/b/a Massachusetts General Hospital | NLST | Dec 29, 2017 | NLST-383 |