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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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361-380 of 883
Name Principal Investigator Institution Study Date Approved Project ID
Similar Patient Search for Cancer Patients Elham Taghizadeh Fraunhofer MEVIS: Institute for Digital Medicine NLST Mar 10, 2020 NLST-645
Lung Cancer Detection and Classification Using Deep Learning Daniel Korat Interdisciplinary Center Herzliya NLST Mar 3, 2020 NLST-643
Lung cancer prognosis in CNUH Vi Vo Thi Tuong Chonnam National University NLST Feb 24, 2020 NLST-640
Development and Investigation of Class Imbalanced Data Methods for Lung Cancer Incidence Prediction Using Clinical and Radiomics Data Matloob Khushi The University of Sydney NLST Feb 24, 2020 NLST-641
Imaging Biomarkers for Lung Cancer Screening Hengyong Yu University of Massachusetts Lowell NLST Feb 19, 2020 NLST-639
Evaluation of Thoracic Aortic Aneurysm Mortality with Low-Dose Computed Tomographic Screening. A Claire Watkins Stanford University NLST Feb 19, 2020 NLST-638
Improve Lung Cancer Prediction by Training Multi-task Self-supervised Pre-training on Large Unlabeled Data Yi Chen ASUS AICS NLST Feb 19, 2020 NLST-637
A new mathematical model for the computation of optimal cancer surveillance schedules Johannes Reiter Stanford University NLST Feb 7, 2020 NLST-636
Developing a prognostic prediction model using Delta Radiomic Features and Clinical Information for Lung Cancer Detection XIAOFENG WANG Cleveland Clinic NLST Jan 30, 2020 NLST-634
Comparison of National Lung Cancer Resection Outcomes to Screening Trial Outcomes Tyler Grenda Sidney Kimmel Medical College, Thomas Jefferson University NLST Jan 27, 2020 NLST-633
Lung cancer detection using Deep Convolutional Neural Network Deepa P L Mar Baselios College of Engineering and Technology NLST Jan 27, 2020 NLST-632
Improvement of the Accuracy in Detection of pulmonary nodules Wei-Ying Chen International Integrated Systems, Inc NLST Jan 27, 2020 NLST-631
Studies to use extended NLST follow-up data Hormuzd Katki NCI NLST Jan 27, 2020 NLST-626
Targeting low-dose computer tomography screening to improve lung-cancer survival: a machine learning-based post-hoc analysis of heterogeneous treatment effects in the National Lung Screening Trial Liangyuan Hu Icahn School of Medicine NLST Jan 27, 2020 NLST-630
Data-efficient and interpretable machine learning framework for lung cancer screening Lei Xing Stanford University NLST Jan 27, 2020 NLST-628
Development of lung cancer diagnostic artificial intelligence based on CT images Mate Denes Ulyssys Ltd. NLST Jan 10, 2020 NLST-627
Evaluation of Deep Learning techniques for mortality prediction and abnormality detection in screening chest imaging Bartosz Borucki Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw NLST Jan 3, 2020 NLST-625
Systems Modeling of community-based Lung Cancer Screening Programs to Improve Quality Archana Nandakumar University of Washington NLST Jan 3, 2020 NLST-624
Development and validation of AI-based lung nodule management and lung analysis software Hee Jun Park CORELINESOFT NLST Dec 26, 2019 NLST-623
Development and evaluation of algorithms for the lung disease diagnostics/management systems Yoshiro Kitamura FUJIFILM corporation NLST Dec 26, 2019 NLST-622