Approved NLST Projects
Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.
| Name | Principal Investigator | Institution | Study | Date Approved | Project ID |
|---|---|---|---|---|---|
| Methods for Early Detection of Lung Cancer | Rok Sosic | Stanford University | NLST | Dec 28, 2018 | NLST-461 |
| Lung Nodule Location Study | Charles Hatt | IMBIO LLC | NLST | Dec 20, 2018 | NLST-460 |
| Unsupervised lesion detection on lung CTs with deep learning | Andreas Baur | University of Bern | NLST | Dec 18, 2018 | NLST-459 |
| Quantitative image analysis for low-dose CT image | jianhua yan | Shanghai University of Medicine and Health Sciences, | NLST | Dec 18, 2018 | NLST-458 |
| Automatic detection of cardiac abnormalities in low dose chest CT scans using machine learning techniques | Serkan Cimen | Siemens Medical Solutions USA Inc. | NLST | Dec 11, 2018 | NLST-457 |
| Clinicopathologic features and machine learning tools to inform clinical outcome in lung cancer | Arkadiusz Gertych | Cedars-Sinai Medical Center | NLST | Dec 6, 2018 | NLST-456 |
| Benign and malignant pulmonary nodules diagnosis. | Huang Xiansong | Department of AI Research, ShenZhen Cyberspace Laboratory | NLST | Nov 30, 2018 | NLST-455 |
| Lung nodule characterisation with deep learning | Julia Schnabel | Kings College London | NLST | Nov 19, 2018 | NLST-454 |
| Lung nodule screening on CT images | Charubutr Asavaroengchai | A.I.Brain Co., Ltd | NLST | Nov 19, 2018 | NLST-453 |
| Artificial Intelligence -based Computer Aided Early Diagnosis for low dose CT scans | Jolu Ninan | Abu Dhabi University | NLST | Nov 19, 2018 | NLST-450 |
| Future diagnosis prediction of lung cancer using convolutional and recurrent networks. | Latifur Khan | University of Texas at Dallas | NLST | Oct 31, 2018 | NLST-449 |
| Long Term Outcomes in Active Smokers Undergoing Lung Resection: An Analysis of the National Lung Cancer Screening Trial | Joanna Sesti | Robert Wood Johnson Barnabas Health | NLST | Oct 26, 2018 | NLST-448 |
| The role of environmental and socioeconomic factors in urologic malignancies | Bashir Al Hussein | New York Presbyterian Hospital | NLST | Oct 16, 2018 | NLST-446 |
| Outcomes of stage I non-small cell lung cancer patients treated with surgery versus radiation therapy within the NLST | Omar Abdel-Rahman | Avicenna Oncology center | NLST | Oct 11, 2018 | NLST-445 |
| Whole chest segmentation: automatic labeling of anatomical and pathological regions in a chest CT scan | Mirza Faisal Beg | Simon Fraser University | NLST | Sep 28, 2018 | NLST-444 |
| Lung PROSPR Research Center NLST Project | Debra Ritzwoller | Kaiser Permanente Institute for Health Research | NLST | Sep 25, 2018 | NLST-443 |
| Experimentally Testing the Efficacy of Convolutional Neural Networks and Other Machine Learning Techniques on Staging of Lung Cancer CTs | Srinath Somasundaram | The Schmahl Science Workshops | NLST | Sep 10, 2018 | NLST-442 |
| Mortality prediction using a combination of quantitive CT image measures | Anton Schreuder | Radboudumc | NLST | Sep 5, 2018 | NLST-437 |
| Lung nodule detection algorithms on CT low dose scans. | Jean Jeudy | University of Maryland School of Medicine | NLST | Sep 4, 2018 | NLST-440 |
| Using deep learning approach to identify lung cancer and pulmonary tuberculosis | Yuan Wang | Washington State University | NLST | Sep 4, 2018 | NLST-439 |