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 |
|---|---|---|---|---|---|
| Development and evaluation of a retrieval system for a medical image database | Georg Langs | ContextFlow GmbH | NLST | Oct 27, 2016 | NLST-253 |
| Validation of Emphysema in NLST CT scans | david wilson | University of Pittsburgh | NLST | Oct 18, 2016 | NLST-252 |
| Development of CADx for pulmonary nodules | Lyndsey Pickup | Optellum Ltd. | NLST | Oct 13, 2016 | NLST-251 |
| Longitudinal assessment of the lung images | Yul Kang | Columbia University | NLST | Oct 13, 2016 | NLST-249 |
| Outcomes among patients with self-reported occupational exposures in the NLST | Christopher Donatelli | University Hospitals Cleveland Medical Center | NLST | Oct 13, 2016 | NLST-250 |
| Cancer Risk with New Nodules | Paul Pinsky | NCI | NLST | Oct 7, 2016 | NLST-248 |
| Cancer detection using deep learning | Hunter Park | Innovation Dx | NLST | Oct 7, 2016 | NLST-247 |
| LDCT Cardiovascular Automatic Biomarker Screening Study | Eldad Elnekave | Zebra Medical Vision, LTD | NLST | Oct 4, 2016 | NLST-246 |
| Region of interest segmentation in pathology image | Yun Jiang | Peking University | NLST | Sep 28, 2016 | NLST-240 |
| Expert Witness, Medical Malpractice Case for Missed Lung Mass | Daniel Pennington | Mercy Medical Center North Iowa | NLST | Sep 26, 2016 | NLST-244 |
| Lung cancer diagnosis in real time using deep learning AI techniques over cloud | Reddy Reddy | MCE | NLST | Sep 26, 2016 | NLST-242 |
| The Relationship Of Cancer Characteristics And Patient Outcome With Time To Lung Cancer Diagnosis After An Abnormal Screening CT | Sushilkumar Sonavane | University of Alabama at Birmingham | NLST | Sep 19, 2016 | NLST-243 |
| Improved lung cancer screening with cognitive computing | Shawn Stapleton | Philips Research North America | NLST | Sep 16, 2016 | NLST-241 |
| A machine learning approach for lung nodule classification. | Alexander Kagen | Mount Sinai Hospital System | NLST | Sep 2, 2016 | NLST-239 |
| Classification of lung lesions using a convolutional neural network | Shipeng Xie | 1.Nanjing University of Posts and Telecommunications 2.University of Pennsylvania | NLST | Aug 31, 2016 | NLST-238 |
| Automatic Lung Nodule Detection | Paul Sajda | Columbia University | NLST | Aug 23, 2016 | NLST-236 |
| Regions-of-Interest Detection in big histopathological images | Li Sulimowicz | University of Texas at Arlington | NLST | Aug 22, 2016 | NLST-237 |
| Deep Learning Inference: An application to screening lung diseases. | Wakahiu Njenga | http://behold.ai/ | NLST | Aug 18, 2016 | NLST-235 |
| Lung Cancer and Lung Scar Carcinoma following Identification of Lung Scarring on Screening Low Dose Helical Computed Tomography (CT) Scan in the National Lung Screening Trial (NLST) | Alison Van Dyke | National Cancer Institute | NLST | Aug 15, 2016 | NLST-234 |
| Automated Detection and Classification in Lung Cancer Screening | David Bates | N/A | NLST | Aug 15, 2016 | NLST-233 |