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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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Results: 1011 (Showing 661 to 680)
Name Principal Investigator Institution Study Date Approved Project ID
Early detection of lung cancer with deep learning and graph databases Rafael Berlanga Universitat Jaume I NLST Nov 6, 2017 NLST-370
Deep Learning on Lung CT Elliot Smith Maxwell MRI NLST Oct 27, 2017 NLST-365
Association between race and follow-up diagnostic care after a positive lung cancer screening test in the National Lung Cancer Screening Trial Joanna Sesti Robert Wood Johnson Barnabas Health NLST Oct 26, 2017 NLST-369
Early diagnosis of lung cancer applying deep neural networks using computerized tomography images Jonathan Domínguez CIDESI NLST Oct 25, 2017 NLST-368
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
Life years gained by screening in the NLST Hormuzd Katki National Cancer Institute NLST Oct 23, 2017 NLST-364
Nodule identification and classification in Lung screening Estanislao OUBEL Median Technologies NLST Oct 18, 2017 NLST-362
Assessing Racial Disparities of Lung Cancer Risk Prediction Model Hee-Soon Juon Thomas Jefferson University NLST Oct 16, 2017 NLST-361
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
Computer-aided diagnosis on lung cancer using enhanced machine learning Lu Yao School of Data and Computer Science, Sun Yat-sen University NLST Sep 21, 2017 NLST-351
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