Here you can browse the complete list of projects on CDAS whose requests for data/biospecimens were approved.
Filter results of approved projects table below
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Deep Learning Algorithm Performance | Gregory Sorensen | N/A | NLST | Aug 18, 2015 | NLST-152 |
| Deep learning and compact feature representations for medical image analysis | Aria Pezeshk | FDA | NLST | Jan 13, 2015 | NLST-109 |
| 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 |
| Deep Learning at Chest Radiography and CT: Automated Detection and Diagnosis of Cancers. | Daiju Ueda | Department of Radiology and Interventional Radiology, Graduate School of Medicine, Osaka City University | NLST | Jan 2, 2018 | NLST-384 |
| Deep Learning at Chest Radiography and CT: Automated Detection and Diagnosis of Cancers. | DAIJU UEDA | Department of Radiology and Interventional Radiology, Graduate School of Medicine, Osaka City University | PLCO | Mar 6, 2018 | PLCO-333 |
| Deep learning based assessment of vascular aging to improve prognostication in patients at risk for lung cancer | Jakob Weiss | University Hospital Freiburg | NLST | Jul 15, 2021 | NLST-816 |
| Deep learning based cancer grading for early detection from histology image biostatistics | Ahmet Coskun | Georgia Institute of Technology | PLCO | Nov 17, 2020 | PLCOI-695 |
| Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images | Mohammad Soltanieh-ha | Boston University | NLST | Jul 13, 2020 | NLST-692 |
| Deep Learning-Based Lung Segmentation for Robotic Electromagnetic Navigation in the lungs | Ron Barak | Magnisity Ltd. | NLST | Jul 11, 2025 | NLST-1436 |
| Deep learning-based prediction of colorectal tumor features and clinical characteristics based on histology images | Ulrike Peters | Fred Hutchinson Cancer Center | PLCO | Jun 18, 2020 | PLCOI-634 |
| Deep Learning for Bladder Cancer Detection and Segmentation | David Harris-Birtill | University of St Andrews | PLCO | Jan 27, 2025 | PLCOI-1802 |
| Deep Learning for Chest X-Ray Radiological Findings Related to Covid-19 | Bambang Trilaksono | PT Riset Kecerdasan Buatan | PLCO | Jul 24, 2020 | PLCOI-656 |
| Deep Learning for Discovering and Visualising Biomarkers | Gustavo Carneiro | University of Adelaide | NLST | Nov 4, 2020 | NLST-723 |
| Deep learning for early diagnosis of lung cancer using low-dose CT scans | Safak Yakti | Binghamton University | NLST | Apr 9, 2018 | NLST-398 |
| Deep learning for identification of spread through air spaces (STAS) and prediction of survival of lung adenocarcinoma using pathology images | I-Fang Chung | Institute of Biomedical Informatics, National Yang-Ming University, Taiwan | NLST | Dec 2, 2020 | NLST-730 |
| Deep learning for indirect and direct cardiovascular risk estimation from ungated chest CT | Piotr Slomka | Cedars-Sinai | NLST | Nov 1, 2022 | NLST-981 |
| Deep Learning for Lung Cancer Detection | Ryan Sherman | Deep Analytics | NLST | Sep 27, 2017 | NLST-341 |
| Deep learning for lung nodule detection and cancer prediction | Quan Chen | University of Kentucky | NLST | Jun 22, 2017 | NLST-320 |
| Deep Learning for Pathology Detection in Chest X-Rays | Ivo Matteo Baltruschat | University Medical Center Hamburg-Eppendorf | PLCO | May 24, 2017 | PLCO-275 |
| Deep Learning for Pathology Image Analysis | Lily Peng | PLCO | May 16, 2017 | PLCO-257 |