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 |
|---|---|---|---|---|---|
| Automated Feature Learning for Early Diagnosis of Lung Cancer using Low-Dose CT Scans | Andrew Berlin | Draper | NLST | Jun 5, 2018 | NLST-417 |
| Improving Clinical Classification of a patient’s lung tumors, NSCLC TNM cancer stage | Dolly Wu | UT Southwestern Medical Center | NLST | May 29, 2018 | NLST-416 |
| TUCAN | Igor Tyurin | Central Tuberculosis Research Institute | NLST | May 24, 2018 | NLST-414 |
| TCIA Staff Support for NLST Data Management and Semantic Integration of NLST Study Data | Fred Prior | Board of Trustees of the University of Arkansas for Medical Sciences acting for and on behalf of the University of Arkansas for Medical Sciences | NLST | May 22, 2018 | NLST-415 |
| Learning informative features for early diagnosis of lung cancer | Yong Fan | University of Pennsylvania | NLST | May 18, 2018 | NLST-294 |
| Nodule malignancy prediction using deep learning and advanced statistics | Miguel Angel Gonzalez Ballester | UPF | NLST | May 15, 2018 | NLST-412 |
| Detection of pulmonary nodules and reduction of the false positive rate | Hsin-Ming Chen | National Taiwan University Hospital | NLST | May 7, 2018 | NLST-411 |
| Development of tools for segmentation and classification of lung imaging data | Amir Amini | University of Louisville Research Foundation, Inc. | NLST | May 7, 2018 | NLST-410 |
| feature selection in lung cancer CT image | Noura ABOUDI | National School of Carthage Engineers | NLST | Apr 30, 2018 | NLST-404 |
| 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 |
| Predicting Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas from CT Scan with 3D Convolutional Neural Networks | Ming Li | Huadong hospital | NLST | Apr 20, 2018 | NLST-403 |
| Lung cancer possibility predicting | Honglin Li | Shanghai Key Laboratory of New Drug Design, East China University Of Science And Technology | NLST | Apr 17, 2018 | NLST-402 |
| 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 |