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 |
|---|---|---|---|---|---|
| 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 |
| Automatic detection and classification of lung nodules in low dose computed tomography (LDCT) images | Elham Khoshkerdar | University of Science and Research,Tehran, Iran | NLST | Mar 8, 2018 | NLST-393 |
| 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 |
| Evaluating lung cancer risks with time-to-event data: state-of-the-art model with certified performance | Mingzhe Wu | Fudan University | NLST | Jan 31, 2018 | NLST-387 |
| 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 |
| Impact of Lung Cancer Screening on Lung Cancer Mortality in COPD Patients | Juan Wisnivesky | Icahn School of Medicine at Mount Sinai | NLST | Dec 26, 2017 | NLST-380 |
| Computerized Heart and Lung Disease Detection in Low-dose CT Images | Pingkun Yan | Rensselaer Polytechnic Institute | NLST | Dec 19, 2017 | NLST-382 |
| Incidence lung cancers after negative screening rounds: A retrospective review of CT findings and outcomes | Jihang Kim | Seoul National University Bundang Hospital | NLST | Dec 11, 2017 | NLST-379 |
| detecting, marking and classifying lung cancer in CT-Scans with deep learning algorithms | Qasim Mohammad | Independent | NLST | Dec 1, 2017 | NLST-378 |
| Automatic Lung Lesion Detection and Segmentation in CT | Lin Yang | University of Florida | NLST | Nov 29, 2017 | NLST-377 |
| Detection/Segmentation of lung cancer and more with deep learning | Andy Song | Medipixel | NLST | Nov 17, 2017 | NLST-376 |
| Computer-aided diagnosis system for lung-related pathology | Aurélio Campilho | INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência | NLST | Nov 15, 2017 | NLST-375 |