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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
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
Lung nodule characterization using machine learning techniques Jack Lin N/A NLST Jan 4, 2017 NLST-270
Intelligent Lung Cancer Diagnostic Aid System: a RADIOMICS approach applied to histology Lucas Lima Federal University of Alagoas NLST Dec 27, 2016 NLST-268
Application of machining learning in lung cancer prediction with the NLST and PLCO data Liang Ge Diannai (Shanghai) Biotech Co., Ltd. NLST Dec 27, 2016 NLST-269
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
Early detection of lung cancer with deep neural nets weiyi xie JianPei technology, Ltd NLST Dec 13, 2016 NLST-260
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
Clinical Decision Support System (CDSS) and self-learning tool for radiologists for Lung CT using Content Based Image Retrieval (CBIR). Sudipta Mukhopadhyay Indian Institute of Technology Kharagpur, India NLST Nov 10, 2016 NLST-255
Longitudinal Deep Radiomic Signatures for Lung Cancer Prognosis and Treatment Response Prediction Nicolas Chapados Imagia Inc. NLST Nov 10, 2016 NLST-256
Tumor early detection and prognosis Hongtu Zhu University of Texas MD Anderson Cancer Center NLST Nov 3, 2016 NLST-254