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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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321-340 of 885
Name Principal Investigator Institution Study Date Approved Project ID
Transportation of Diagnostic Accuracy Measures to a New Target Population Bing Li Brown University NLST Sep 20, 2020 NLST-712
3D Convolutional Neural Network for Classifying Lung Nodule Malignancy Albert Hsiao UC San Diego NLST Sep 16, 2020 NLST-706
DEEP LEARNING USING CHEST COMPUTED TOMOGRAPHY FOR THE DETECTION AND DIAGNOSIS OF LUNG CANCER Jeremy Burt Medical University of South Carolina NLST Sep 12, 2020 NLST-709
Smart Bronchoscopy James Shen Noah Medical Corporation NLST Sep 12, 2020 NLST-708
Deep Learning for Prediction of Progression and Overall Survival of Lung Cancer using CT Examinations Brian Huang University of Pennsylvania NLST Aug 18, 2020 NLST-705
Development of Ultra High Resolution CT for Differential Diagnosis of Lung Nodules found using Low Dose CT Rasika Rajapakshe BC Cancer Agency Sindi Ahluwalia Hawkins Centre for the Southern Interior NLST Aug 18, 2020 NLST-703
Development of deep-learning software for the detection, classification, and malignancy risk assessment of lung nodules on LDCT Kenneth Tang AIRdx NLST Aug 18, 2020 NLST-702
Subgroup Identification based on Lung Cancer Risk Prediction Model Jon Steingrimsson Brown University NLST Aug 5, 2020 NLST-701
Blood-based biomarkers as a complement to CT screening for lung cancer Edwin Ostrin University of Texas MD Anderson Cancer Center NLST Jul 29, 2020 NLST-698
Deep Learning Reconstruction of Chest CT Volumes from Single or Multi View Chest Radiographs Nadav Shapira University of Pennsylvania NLST Jul 24, 2020 NLST-697
DeepCoronaScan Christophe Zimmer Institut Pasteur Paris NLST Jul 21, 2020 NLST-696
Effect of lung morphology on particle deposition in the airways Uduak George San Diego State University NLST Jul 17, 2020 NLST-694
Prognostic implication of thoracic muscle and visceral fat in chest CT image in lung cancer screening participants Soon Ho Yoon Seoul National University Hospital NLST Jul 17, 2020 NLST-695
Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images Mohammad Soltanieh-ha Boston University NLST Jul 13, 2020 NLST-692
Deep learning model using multi-modal data for lung cancer survival prediction yingying zhu University of Texas, Arlington NLST Jul 7, 2020 NLST-684
Actionable Intelligence Research for Early Lung Cancer Detection Jia Wu MD Anderson Cancer Center NLST Jul 7, 2020 NLST-690
Lung Cancer Nodule Detection Using Algorithm. MUHAMMAD UMAIR NED UNIVERSITY NLST Jul 7, 2020 NLST-688
Development of CNN-based model in predicting patients outcomes Shaunagh McDermott Massachusetts General Hospital NLST Jun 30, 2020 NLST-686
Smart Radiology: an algorithm to predict the risk index of lung nodules in LDCT. Marcelo Oliveira Universidade Federal de Alagoas (UFAL) NLST Jun 29, 2020 NLST-685
Varying preferences for predictive information among patients at risk for lung cancer Gary Weissman University of Pennsylvania Perelman School of Medicine NLST Jun 26, 2020 NLST-682