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 |
---|---|---|---|---|---|
Machine Learning Classification of Nodules | Michal Lada | University of Rochester | NLST | Feb 19, 2019 | NLST-484 |
Automatic Pathological Diagnosis System for Lung Cancer Using Deep Learning | Shuhao Wang | Tsinghua University | NLST | Feb 19, 2019 | NLST-482 |
Lung cancer case prioritization tool with automated CT scan classification | Ramune Dauksaite | Birkbeck College, University of London | NLST | Feb 19, 2019 | NLST-483 |
Prediction of NSCLS from CT scan and habitual data of a person after two years by using CNN and LSTM machine learning techniques | Mayur Munshi | University of Manchester | NLST | Feb 14, 2019 | NLST-481 |
Therapixel-AI | Stephanie Lopez | Therapixel | NLST | Feb 5, 2019 | NLST-478 |
Incorporating gender differences in lung cancer screening | Kevin ten Haaf | Erasmus MC | NLST | Feb 4, 2019 | NLST-480 |
Data-driven Imaging Biomarker (DIB) study in NLST datasets | Ki Hwan Kim | Lunit | NLST | Feb 1, 2019 | NLST-474 |
Automatic heart segmentation using machine learning techniques | Julian Bernard | LARALAB UG | NLST | Jan 31, 2019 | NLST-477 |
Evaluating the Potential for Biomarker Use in CT Screening | Hilary Robbins | International Agency for Research on Cancer (IARC) | NLST | Jan 31, 2019 | NLST-476 |
Screening for Heart Disease by Coronary Calcium | Ryan Chamberlain | Imbio, LLC | NLST | Jan 29, 2019 | NLST-473 |
Multi-Modal Deep Learning for Predicting Screening Outcome from Imaging and Structured Data | Rebecca Simpson | J&B Engineering | NLST | Jan 24, 2019 | NLST-472 |
A new convolution network for Pulmonary Nodule Detection | Hu Yuan | Beihang University | NLST | Jan 24, 2019 | NLST-470 |
A novel approach to lung cancer detection and prediction using biomechanics-enhanced artificial intelligence | Hadi Nia | Boston University | NLST | Jan 18, 2019 | NLST-471 |
Quantifying early lung fibrosis using deep learning | Joseph Jacob | University College London | NLST | Jan 15, 2019 | NLST-468 |
Estimating the optimal positivity criterion for lung cancer screening with low-dose computed tomography: A decision modeling approach | Rowan Iskandar | Brown University | NLST | Jan 7, 2019 | NLST-467 |
Find Unique Patterns from Pathology Images | Tian Xia | School of Electronic Information and Communications, Huazhong University of Sci. & Tech. | NLST | Jan 7, 2019 | NLST-466 |
Gender difference in benefits of lung cancer screening | Soon Ho Yoon | Seoul National University Hospital | NLST | Jan 2, 2019 | NLST-465 |
Bayesian statistical approach to model cell-cell interaction for tumor pathology images analysis | Alexandra Pershakova | Politecnico di Milano | NLST | Jan 2, 2019 | NLST-462 |
Maestro | Anouk Stein | MD.ai | NLST | Jan 2, 2019 | NLST-463 |
Methods for Early Detection of Lung Cancer | Rok Sosic | Stanford University | NLST | Dec 28, 2018 | NLST-461 |