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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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601-620 of 885
Name Principal Investigator Institution Study Date Approved Project ID
Bayesian probabilistic techniques for cancer growth prediction/ prognosis based on informative features containing significant medical details within the historical CT scans Haroon Rasheed Bahria University,Karachi - 75620 Pakistan NLST Jun 8, 2017 NLST-307
Predicting medical outcomes using deep learning with CT chest images Lyle Palmer University of Adelaide NLST Jun 8, 2017 NLST-311
Evaluating comorbidities and life expectancy in patients undergoing LDCT screening in the real world setting Jonathan Iaccarino Boston University Medical Campus NLST May 19, 2017 NLST-309
Computer Vision AI to Diagnose Lung Cancer from CT Images Peter Szoldan MedInnoScan Kft. NLST May 12, 2017 NLST-306
Machine Learning Methods for Nodule Detection and Classification Xiaohui Xie University of California, Irvine NLST May 11, 2017 NLST-304
Outcomes associated with significant incidental findings in lung cancer screening Ilana Gareen Brown University NLST May 10, 2017 NLST-308
Automatic Detection and Classification System for Lung Lesion Takashi Shirahata Hitachi, Ltd. NLST Apr 27, 2017 NLST-302
Using Deep Learning for Cancer Nodule Detection Ashish Gupta Auburn University NLST Apr 25, 2017 NLST-300
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
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