Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
Filter results of approved projects table below
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Explainable Artificial Intelligence Model for Lung Cancer Detection | Dr. Chern Hong Lim | Monash University Malaysia Sdn Bhd [ Co. Reg. No. : 199801002475 (458601-U)] | NLST | Apr 9, 2020 | NLST-656 |
| Automated assessment of multiple diagnoses and findings in NLST | Joshua Reicher | imvaria inc. | NLST | Apr 8, 2020 | NLST-655 |
| COVID-19 AI Screening Model Pretraining Using NLST Data - Is CT a clinically meaningful COVID screening tool? | Shadab Khan | Group 42 | NLST | Apr 6, 2020 | NLST-654 |
| CT-based COVID-19 Diagnostic Tool | David Wiley | Stratovan Corporation | NLST | Apr 2, 2020 | NLST-653 |
| Accurate detection of COVID-19 patterns from CT lung scans by deep learning | Piotr Slomka | Cedars-Sinai Medical Center | NLST | Mar 23, 2020 | NLST-651 |
| Diagnosing COVID-19 from deep learning trained on CT scans | Jean-Remi King | CNRS | NLST | Mar 17, 2020 | NLST-650 |
| Lung tumor early detection and prognosis with machine learning approach | Tengfei Li | University of North Carolina at Chapel Hill | NLST | Mar 16, 2020 | NLST-649 |
| Development of DCNN-based solution for lung cancer detection based on CT images. | Noé Samaille | IBM | NLST | Mar 16, 2020 | NLST-648 |
| Autoencoder for CT images and automatic clustering of patients | michael roberts | Astrazeneca | NLST | Mar 10, 2020 | NLST-647 |
| 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 |