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Approved NLST Projects

Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.

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561-580 of 878
Name Principal Investigator Institution Study Date Approved Project ID
Racial disparities in outcomes in patients undergoing screening and treatment for Lung Cancer Gurudatta Naik University of Alabama at Birmingham NLST Oct 13, 2017 NLST-360
A simulation modeling study examining the downstream effects of follow-up schedules for screen-detected nodules Chung Yin (Joey) Kong Massachusetts General Hospital / Harvard Medical School NLST Sep 28, 2017 NLST-357
Deep Learning for Lung Cancer Detection Ryan Sherman Deep Analytics NLST Sep 27, 2017 NLST-341
Detection and prediction analysis of lung cancer based on deep learning with low-dose CT Seyoun Park Johns Hopkins University NLST Sep 26, 2017 NLST-356
Computer-Aided Treatment Effectiveness Assessment Based on Lung Cancer CT Screening Hsiao-Dong Chiang Cornell University NLST Sep 26, 2017 NLST-346
Automatic Detection of Cancerous Lung Tissue Maribeth Cogan The University of Texas at Dallas NLST Sep 22, 2017 NLST-355
Nodule Identification for Lung Screening Osama Masoud Vital Images NLST Sep 22, 2017 NLST-353
LDCT Pulmonary Nodule Assessment Model Based on Multi-Omics Approach Rayjean Hung Lunenfeld-Tanenbaum Research Institute, Sinai Health System NLST Sep 20, 2017 NLST-349
Investigation of Deep Learning based methods to Detection, Segmentation and Classification of Lung Nodules Saeed Seyyedi Independent NLST Sep 20, 2017 NLST-354
NLP and Machine Vision for Development of Predictive Models to Determine Lung Cancer Risk on Basis of CT Images and Social History. Joey Bargo MedMyne NLST Sep 19, 2017 NLST-350
Deep Machine Learning for Detection of Lung Cancer from NLST Images Eugene Demidenko Geisel School of Medicine at Dartmouth NLST Sep 18, 2017 NLST-347
Computer assisted detection of abnormalities in chest CT scans Joel Pinto Nuance Communications NLST Sep 18, 2017 NLST-348
Selecting the risk cut off for the LLP model. Kevin ten Haaf Erasmus MC NLST Aug 27, 2017 NLST-343
Machine learning to identify, track, and monitor disease John MacLean doclink.io NLST Aug 16, 2017 NLST-338
Predict histological grade by CT image auto-reviewing Edwin Wang University of Calgary NLST Aug 16, 2017 NLST-340
Predicting lung cancer from chest radiography features Ashwini Suriyaprakash Independent NLST Aug 7, 2017 NLST-334
Ultra-Low-Dose Lung Nodule CT Surveillance Using Prior-Image-Based Reconstruction Hao Zhang Johns Hopkins University NLST Aug 3, 2017 NLST-329
Interpretable machine learning models for lung cancer screening Cynthia Rudin Duke NLST Aug 2, 2017 NLST-332
Gist response Patrick Brennan University of Sydney NLST Jul 31, 2017 NLST-333
Role of Image Segmentation Methods in Increasing the Efficiency and Accuracy of Neural Networks in Cancer Detection Zong Zhang N/A NLST Jul 28, 2017 NLST-335