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 |
|---|---|---|---|---|---|
| Detection and Prevention of Cyber Attacks Aimed at Medical Imaging Devices | Tom Mahler | Ben Gurion University of the Negev | NLST | Jun 6, 2018 | NLST-418 |
| 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 |
| USE OF PLCO IMAGING DATASET FOR MACHINE LEARNING PROJECTS | Mannudeep Kalra | Massachusetts General Hospital | PLCO | May 29, 2018 | PLCO-366 |
| TUCAN | Igor Tyurin | Central Tuberculosis Research Institute | NLST | May 24, 2018 | NLST-414 |
| Influence of Gender and Hormonal Status on Lung Cancer Incidence and Mortality from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial | Leah M Backhus | Stanford University | PLCO | May 22, 2018 | PLCO-367 |
| 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 |
| Stratifying Prostate Cancer Risk based on Deep Learning of PLCO Data | Jun Deng | Yale University | PLCO | May 16, 2018 | PLCO-365 |
| A Study of effect of decreasing air-pollution on lung cancer cases and their conditions | Satish Chandra | Jaypee Institute of Information Technology | PLCO | May 16, 2018 | PLCO-364 |
| 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 |
| Telomere Length Studies in PLCO | Shahinaz Gadalla | National Institute of Health | PLCO | May 1, 2018 | 2017-1019 |
| 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 |