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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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521-540 of 885
Name Principal Investigator Institution Study Date Approved Project ID
Improving Clinical Classification of a patient’s lung tumors, NSCLC TNM cancer stage Dolly Wu UT Southwestern Medical Center NLST May 29, 2018 NLST-416
TCIA Staff Support for NLST Data Management and Semantic Integration of NLST Study Data Fred Prior Board of Trustees of the University of Arkansas for Medical Sciences acting for and on behalf of the University of Arkansas for Medical Sciences NLST May 22, 2018 NLST-415
Learning informative features for early diagnosis of lung cancer Yong Fan University of Pennsylvania NLST May 18, 2018 NLST-294
Nodule malignancy prediction using deep learning and advanced statistics Miguel Angel Gonzalez Ballester UPF NLST May 15, 2018 NLST-412
Detection of pulmonary nodules and reduction of the false positive rate Hsin-Ming Chen National Taiwan University Hospital NLST May 7, 2018 NLST-411
Development of tools for segmentation and classification of lung imaging data Amir Amini University of Louisville Research Foundation, Inc. NLST May 7, 2018 NLST-410
feature selection in lung cancer CT image Noura ABOUDI National School of Carthage Engineers NLST Apr 30, 2018 NLST-404
Ensemble Learners for Boosted Explanatory Predictive Model of Lung Cancer Outcomes Ahmed Hassoon Johns Hopkins Bloomberg School of Public Health NLST Apr 27, 2018 NLST-407
Machine Learning based lung nodule detection and malignancy prediction from low dose computed tomography (LDCT) images Tina Kapur Brigham and Women's Hospital NLST Apr 26, 2018 NLST-408
The usage of machine learning algorithms in predicting mortality among cancer patients. Dawid Siwicki University of Warsaw NLST Apr 23, 2018 NLST-405
Algorithm development on lung medical image Jingya Liu City College of New York, City University of New York NLST Apr 17, 2018 NLST-401
Pulmonary Nodule Detection in Lung CT Images using Deep Learning Networks Tsvi Lev NEC Corporation of America (Israeli Research Labs) NLST Apr 17, 2018 NLST-400
Estimation of natural progression and survival rates for lung cancer based on NLST project Sherry Yueh-Hsia CHIU Chang Gung University NLST Apr 17, 2018 NLST-358
Deep learning for early diagnosis of lung cancer using low-dose CT scans Safak Yakti Binghamton University NLST Apr 9, 2018 NLST-398
Prediction of abnormalities in Chest X-Rays with deep learning techniques Sasa Grbic Siemens Medical Solutions NLST Apr 9, 2018 NLST-397
Artificial Intelligence in Oncology Scott Johnson Varian NLST Apr 9, 2018 NLST-399
Racial differences in the smoking duration and smoking dose attributable risk of lung cancer Brid Ryan NCI NLST Mar 28, 2018 NLST-396
Computer-aided assessment of the chest from a Lung Cancer Screening population Benedikt Graf IBM Watson Health NLST Mar 9, 2018 NLST-394
Using generative adversarial neural networks to create synthetic images for improved classification of lung cancer Caleb Bradberry Radford University NLST Feb 23, 2018 NLST-392
Comparing Baseline Characteristics and Outcomes of a Minority-Based Lung Cancer Screening Program to the National Lung Screening Trial Mary Pasquinelli University of Illinois Hospital and Health Sciences System NLST Feb 13, 2018 NLST-391