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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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581-600 of 883
Name Principal Investigator Institution Study Date Approved Project ID
Predicting lung cancer from chest radiography features Ashwini Suriyaprakash Independent NLST Aug 7, 2017 NLST-334
Ultra-Low-Dose Lung Nodule CT Surveillance Using Prior-Image-Based Reconstruction Hao Zhang Johns Hopkins University NLST Aug 3, 2017 NLST-329
Interpretable machine learning models for lung cancer screening Cynthia Rudin Duke NLST Aug 2, 2017 NLST-332
Gist response Patrick Brennan University of Sydney NLST Jul 31, 2017 NLST-333
Role of Image Segmentation Methods in Increasing the Efficiency and Accuracy of Neural Networks in Cancer Detection Zong Zhang N/A NLST Jul 28, 2017 NLST-335
Enhancement of pulmonary nodule detection algorithm using large scale LDCT data Seungho Lee Vuno NLST Jul 10, 2017 NLST-322
Precision medicine via survival analysis Yan Li University of Michigan NLST Jul 6, 2017 NLST-326
Advanced Deep Learning for Early Detection and Prognostication in Lung Cancer Zeng Zeng Institute for Infocomm Research NLST Jul 5, 2017 NLST-323
Predicting lung cancer prognosis with deep learning Francesco Ciompi Radboud University Medical Center NLST Jun 30, 2017 NLST-325
Targeting low-dose CT to reduce mortality from lung cancer: a machine learning-based analysis of heterogeneous treatment effects in the NLST Aaron Baum Icahn School of Medicine at Mount Sinai NLST Jun 30, 2017 NLST-324
Using Big Data for Computer-Aided Diagnosis of Chest CTs Ronald Summers National Institutes of Health Clinical Center NLST Jun 30, 2017 NLST-319
Machine learning to differentiate between malignant and benign nodules Parag Chaudhari Mon Health Medical Center NLST Jun 22, 2017 NLST-315
Deep learning for lung nodule detection and cancer prediction Quan Chen University of Kentucky NLST Jun 22, 2017 NLST-320
Robust Radiomics Feature Extraction for Lung Cancer Suthirth Vaidya Predible Health NLST Jun 20, 2017 NLST-318
Lung Cancer Early Detection Challenge: Concept to Clinic Isaac Slavitt DrivenData NLST Jun 20, 2017 NLST-317
Deep Learning to Detect Lung Cancer and Predict Mortality George Washko Brigham and Women's Hospital NLST Jun 14, 2017 NLST-313
Unsupervised feature extraction for benign and malignant pulmonary nodules Matthew Stephens University of Cincinnati NLST Jun 13, 2017 NLST-314
Lung Cancer Risk in Patients with Interstitial Lung Disease Stacey-Ann Whittaker Brown Icahn School of Medicine at Mount Sinai NLST Jun 9, 2017 NLST-310
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