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 Lung Segmentation for Tumor Tracking | Marwan Sati | Merge Healthcare an IBM Company | NLST | Jun 7, 2016 | NLST-197 |
A Novel Approach to Facilitate Interoperability between Clinical Decision Support Systems and Electronic Health Records | Ran Wei | Rutgers University - New Jersey Medical Shcool | NLST | May 26, 2016 | NLST-222 |
A Radiomics approach to distinguish benign from malignant nodules on Low Dose CT | Anant Madabhushi | Emory University | NLST | May 20, 2016 | NLST-218 |
Artificial Intelligence to detect and classify tumors | Daniel Meyer | Sphera, Inc. | NLST | May 12, 2016 | NLST-215 |
CAD system for lung cancer | Xiaoting Dai | College of medical devices and food science, University of Shanghai for Science and Technology | NLST | May 3, 2016 | NLST-213 |
AI for Lung Nodule Characterization | Hugo Aerts | Harvard-DFCI | NLST | Apr 26, 2016 | NLST-208 |
Developing automated algorithms for detection of lung pathology | Lily Peng | Google LLC | NLST | Apr 25, 2016 | NLST-204 |
Predicting overall survival using CT and pathological image features | Peng Huang | Johns Hopkins University | NLST | Apr 21, 2016 | NLST-214 |
Data mining for NLST | Rong Chen | University of Maryland, Baltimore | NLST | Apr 19, 2016 | NLST-211 |
Positive Predictive Value (PPV) trends of lung screening with Low Dose Computed Tomography (LDCT) in next rounds and a prediction model of nodules with higher probability of being true positive | Reshad Hassannezhad | Tabriz University of Medical Sciences | NLST | Apr 13, 2016 | NLST-210 |
Using markers of endemic fungal infection to predict malignancy in lung nodules identified on screening CT | Laszlo Vaszar | Mayo Clinic Arizona | NLST | Apr 13, 2016 | NLST-205 |
Therapixel-AI | Vincent Montalieu | Therapixel | NLST | Apr 12, 2016 | NLST-209 |
Pancreas cancer incidence and mortality by NLST trial arm | Pamela Marcus | NCI | NLST | Apr 8, 2016 | NLST-206 |
Development of lung nodule categorization, characterization and quantification on LDCT for lung cancer screening | Mannudeep Kalra | Massachusetts General Hospital | NLST | Apr 4, 2016 | NLST-203 |
Extrapulmonary malignancy as a cause of mortality in the NLST | Myrna Godoy | MD Anderson Cancer Center - The University of Texas | NLST | Mar 30, 2016 | NLST-200 |
Lung nodule screening and classification using convolutional neural network (CNN) algorithms | Mike Liu | Raywon Technology Inc | NLST | Mar 29, 2016 | NLST-202 |
Automated Examination of CT Chests To Determine Optimal Placement of Needle Thoracostomy | Matt Strickland | University of Toronto, Harvard University | NLST | Mar 25, 2016 | NLST-201 |
A Risk Prediction Modeling Based on SEM | Chenchen He | Southwest University, China | NLST | Mar 10, 2016 | NLST-199 |
Deep Learning on Lung Cancer Diagnosis | Liwei Wang | Peking University | NLST | Mar 7, 2016 | NLST-198 |
CADx Development for Lung Nodule Detection and Tumor Malignancy Assessment | Kunlin Cao | Curacloud Corporation | NLST | Feb 22, 2016 | NLST-195 |