Approved Projects
Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| 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 |
| Machine learning for classification of thyroid cancer | Norah Alghamdi | PNU | PLCO | Apr 18, 2018 | PLCO-363 |
| 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 |
| The association between age and prognosis among prostate cancer patients suffered from radiotherapy | Gaoxiang Ma | China Pharmaceutical University | PLCO | Apr 17, 2018 | PLCO-361 |
| Characterizing Free-Living Stepping Behavior | Kate Lyden | KAL Research|Consulting, PAL Technologies | IDATA | Apr 16, 2018 | IDATA-21 |
| Understanding comorbidities that contribute to drug response in ovarian cancer | Sara Cooper | HudsonAlpha Institute for Biotechnology | PLCO | Apr 13, 2018 | PLCO-362 |
| Image retrieval and automatic preliminary diagnosis of chest X-ray radiographs | Jogundas Armaitis | Oxipit, UAB | PLCO | Apr 13, 2018 | PLCO-360 |
| Mechanisms of obesity in liver cancer development | Katherine McGlynn | National Cancer Institute | PLCO | Apr 12, 2018 | 2017-1021 |
| 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 |
| Lung abnormality detection from chest radiography | Benedikt Graf | IBM Watson Health | PLCO | Apr 6, 2018 | PLCO-359 |
| Racial differences in the smoking duration and smoking dose attributable risk of lung cancer | Brid Ryan | NCI | NLST | Mar 28, 2018 | NLST-396 |