Skip to Main Content

An official website of the United States government

Government Funding Lapse

Because of a lapse in government funding, the information on this website may not be up to date, transactions submitted via the website may not be processed, and the agency may not be able to respond to inquiries until appropriations are enacted. The NIH Clinical Center (the research hospital of NIH) is open. For more details about its operating status, please visit  cc.nih.gov. Updates regarding government operating status and resumption of normal operations can be found at OPM.gov.

Approved NLST Projects

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

Reset
Results: 870 (Showing 601 to 620)
Name Principal Investigator Institution Study Date Approved Project ID
Pulmonary Nodule Detection and Classification using large scale CT data feifei zhou Independent Researcher, not applicable NLST Feb 13, 2017 NLST-283
Radiomics using Deep Learning with High Performance Computing Eduardo Ulises Moya Sánchez Barcelona Supercomputing Center NLST Feb 9, 2017 NLST-275
Improvement of Early Lung Cancer Detection Rate for Patients Undergoing 18F-FDG PET/CT scans Tsung-Ying Ho Chang Gung Memorial Hospital NLST Feb 9, 2017 NLST-284
Surgical approach and outcomes in NLST patients with positive screening CT Brendon Stiles Weill Cornell Medicine NLST Feb 7, 2017 NLST-281
Medical applications of example-based super-resolution Ramin Zabih Joan & Sanford I. Weill Medical College of Cornell University NLST Jan 31, 2017 NLST-279
Deep learning of lung cancer images for segmentation and outcome prediction Olivier Gevaert Stanford University NLST Jan 31, 2017 NLST-276
Lung lesion screening and tracking Carla Leibowitz Arterys NLST Jan 30, 2017 NLST-278
Lung Cancer Detection using Data Analytics and Machine Learning Apoorva Mahale Vivekanand Education Society's Institute of Technology NLST Jan 30, 2017 NLST-277
Lung cancer prediction by deep learning approach Xiaokang Wang University of California,Davis NLST Jan 26, 2017 NLST-273
Continued deep learning modeling for early detection Jeremy Howard University of San Francisco NLST Jan 25, 2017 NLST-274
SPORE Grant Pipeline Paul Kinahan University of Washington NLST Jan 5, 2017 NLST-271
Intelligent Lung Cancer Diagnostic Aid System: a RADIOMICS approach applied to histology Lucas Lima Federal University of Alagoas NLST Dec 27, 2016 NLST-268
Risk modelling of time to lung cancer diagnosis Anton Schreuder Radboudumc NLST Dec 27, 2016 NLST-267
Medical data mining on small datasets Ron Wolfslast University Hamburg NLST Dec 16, 2016 NLST-266
MRI screening for lung cancer: Markov modeling using the NLST CT outcomes data Mark Schiebler UW-Madison School of Medicine and Public Health NLST Dec 15, 2016 NLST-265
Instance-driven semantic segmentation and clinical information assessment of temporal changes for lung nodules Kang Li Department of Industrial and Systems Engineering NLST Dec 5, 2016 NLST-261
RETROSPECTIVE ANALYSIS OF PULMONARY NODULES USING A NEW ALGORITHM FOR DETERMINING INTERVAL GROWTH, WITH SUBSEQUENT PROSPECTIVE ANALYSIS FOR BLINDED VALIDATION John Billings Independent Researcher NLST Dec 5, 2016 NLST-263
Automatic lung nodule detection by CNN Shuang Wu Yitu USA NLST Dec 2, 2016 NLST-258
Early Detection and Prognosis of Lung Cancer Yun Li UNC Chapel Hill NLST Dec 2, 2016 NLST-262
Statistical models to predict future subject’s lung cancer risk: application to NLST and PLCO data Ping Hu NCI NLST Nov 21, 2016 NLST-259