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 |
---|---|---|---|---|---|
SMAIR VISION | Zenyi Gómez | Tecnologico de Monterrey | NLST | Jun 24, 2019 | NLST-532 |
Developing AI-based diagnostic system for lung cancer through joint business plan | Taegyu Kim | DEEPNOID | NLST | Jun 24, 2019 | NLST-531 |
Artificial intelligence for detection of obstructive airway disease and malignant pulmonary nodules | Majid Afshar | Loyola University Medical Center | NLST | Jun 24, 2019 | NLST-520 |
Image Classification of LDCT for Computer-aided Lung Cancer Diagnosis | Rachel Jennings | UHG R&D | NLST | Jun 21, 2019 | NLST-529 |
Lung Cancer segmentation and 3D visualization | Hao Zhou | Dyad Medical, INC. | NLST | Jun 21, 2019 | NLST-530 |
AI Driven Imaging Biomarkers | Talha Qaiser | AstraZeneca | NLST | Jun 19, 2019 | NLST-528 |
Development and external validation of a lung nodule management system | Hyunho Park | VUNO Inc. | NLST | Jun 19, 2019 | NLST-527 |
Using time-series data to predict nodule evolution | Joseph Jacob | University College London | NLST | Jun 18, 2019 | NLST-526 |
Lung Cancer Screening in Patients with a Personal History of Cancer | Louise Henderson | The University of North Carolina at Chapel Hill | NLST | Jun 17, 2019 | NLST-525 |
New Machine Learning Methods for Lung Nodule Detection and Classification to Optimize Cancer Screening | Maxine Tan | Monash University Malaysia | NLST | Jun 13, 2019 | NLST-522 |
Korean Lung Cancer Screening Project (K-LUCAS) | Yeol Kim | National Cancer Center, Korea | PLCO | Jun 10, 2019 | PLCO-485 |
An update of the clinical and cost-effectiveness of lung cancer screening by low-dose CT | Chris Hyde | University of Exeter | NLST | Jun 5, 2019 | NLST-519 |
Automatic musculoskeletal analysis of the spine in low dose chest CT scans using machine learning techniques | Guillaume Chabin | Siemens Healthcare SAS | NLST | Jun 5, 2019 | NLST-518 |
ARTIFICIAL STAINING OF HISTOPATHALOGICAL IMAGES | Alper Yilmaz | The Ohio State University | NLST | May 31, 2019 | NLST-516 |
Validation of pre-trained deep learning algorithms on the PLCO Lung dataset | Ammar Jagirdar | Qure.ai | PLCO | May 31, 2019 | PLCO-484 |
Blockchain-based information system for medical image transfer | Jianjing Lin | Rensselaer Polytechnic Institute | NLST | May 28, 2019 | NLST-515 |
Coronary artery calcification quantification | Joris Wakkie | Aidence | NLST | May 28, 2019 | NLST-514 |
Associations between Blood DNA Methylation and Estrogen Metabolism | Gretchen Gierach | ITEB | PLCO | May 28, 2019 | PLCO-483 |
Longitudinal analysis of lung diseases using CT and pathology images | Vaishnavi Subramanian | University of Illinois at Urbana-Champaign | NLST | May 22, 2019 | NLST-512 |
Building a Deep Learning prediction model using CT images and patient characteristics | Jagdeep Podichetty | Critical Path Institute | NLST | May 22, 2019 | NLST-511 |