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 |
|---|---|---|---|---|---|
| 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 |
| Lung cancer investigation based on deep learning; detection, diagnosis and prognosis prediction | Chin A Yi | Sungkyunkwan University School of Medicine | NLST | Nov 14, 2017 | NLST-366 |
| Using Artificial Intelligence for the automatic interpretation of chest CT images | Hugo Aerts | Dana-Farber Cancer Institute, Inc. | NLST | Nov 14, 2017 | NLST-374 |
| New image features for automatically discrimination of patients with/without lung cancer | Consuelo Gonzalo Martin | UNIVERSIDAD POLITECNICA DE MADRID | NLST | Nov 14, 2017 | NLST-373 |
| Computer Tomography (CT) Scan image classification using Artificial Intelligence | Manish Chaturvedi | Pandit Deendayal Petroleum University | NLST | Nov 9, 2017 | NLST-372 |
| Unsupervised Deep Learning Approach to Characterize the Normal-Appearing Tissue in Lung CT images | Kayhan Batmanghelich | University of Pittsburgh | NLST | Nov 7, 2017 | NLST-363 |
| Early detection of lung cancer with deep learning and graph databases | Rafael Berlanga | Universitat Jaume I | NLST | Nov 6, 2017 | NLST-370 |
| Deep Learning on Lung CT | Elliot Smith | Maxwell MRI | NLST | Oct 27, 2017 | NLST-365 |
| Association between race and follow-up diagnostic care after a positive lung cancer screening test in the National Lung Cancer Screening Trial | Joanna Sesti | Robert Wood Johnson Barnabas Health | NLST | Oct 26, 2017 | NLST-369 |
| Early diagnosis of lung cancer applying deep neural networks using computerized tomography images | Jonathan Domínguez | CIDESI | NLST | Oct 25, 2017 | NLST-368 |
| Deep learning and other automated techniques for predicting incident cardiovascular death and cancer from lung cancer screening CT | Michael Lu | The General Hospital Corporation d/b/a Massachusetts General Hospital | NLST | Oct 25, 2017 | NLST-367 |
| Life years gained by screening in the NLST | Hormuzd Katki | National Cancer Institute | NLST | Oct 23, 2017 | NLST-364 |
| Nodule identification and classification in Lung screening | Estanislao OUBEL | Median Technologies | NLST | Oct 18, 2017 | NLST-362 |
| Assessing Racial Disparities of Lung Cancer Risk Prediction Model | Hee-Soon Juon | Thomas Jefferson University | NLST | Oct 16, 2017 | NLST-361 |
| Racial disparities in outcomes in patients undergoing screening and treatment for Lung Cancer | Gurudatta Naik | University of Alabama at Birmingham | NLST | Oct 13, 2017 | NLST-360 |
| A simulation modeling study examining the downstream effects of follow-up schedules for screen-detected nodules | Chung Yin (Joey) Kong | Massachusetts General Hospital / Harvard Medical School | NLST | Sep 28, 2017 | NLST-357 |
| Deep Learning for Lung Cancer Detection | Ryan Sherman | Deep Analytics | NLST | Sep 27, 2017 | NLST-341 |
| Detection and prediction analysis of lung cancer based on deep learning with low-dose CT | Seyoun Park | Johns Hopkins University | NLST | Sep 26, 2017 | NLST-356 |