Skip to Main Content

An official website of the United States government

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
Clinical and cost effectiveness of lung cancer screening by low-dose CT Chris Hyde University of Exeter NLST Apr 20, 2017 NLST-301
Use of neural networks in tissue abnormality detection Rafal Grzeszczuk AGH University of Science and Technology NLST Apr 11, 2017 NLST-299
Application of Deep Learning to Combine Clinical and Imaging Data to Localize, Characterize, and Prognosticate Lung Cancer Patients Jae Ho Sohn UCSF NLST Apr 4, 2017 NLST-297
Determining the prevalence and misclassification of perifissural nodules in the NLST. Anton Schreuder Radboudumc NLST Mar 22, 2017 NLST-296
Detection and Diagnosis of Lung Cancer with Deep Learning Shan Li Zephex Technology NLST Mar 21, 2017 NLST-295
Computer aided diagnosis for radiology and histopathology images zhenhua xu Independent Researcher, not applicable NLST Mar 15, 2017 NLST-293
Automatic Early Lung Cancer Detection with Deep Neural Networks Jackie Jiang Wingspan Technology NLST Feb 22, 2017 NLST-287
Automated Lung Nodule Detection using Deep Neural Networks Kun-Hsing Yu President and Fellows of Harvard College NLST Feb 22, 2017 NLST-286
Building a Common Data Model for Cancer Research Guoqian Jiang Mayo Clinic NLST Feb 17, 2017 NLST-285
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