| Multimodal Data Fusion of Radiomic, Pathomic, and Semantic Features to Classify Pulmonary Nodules |
William Hsu |
David Geffen School of Medicine at UCLA |
NLST |
Apr 19, 2021 |
NLST-785 |
| A systematic review of the benefits of screening never smokers who have a high risk of lung cancer |
Brent White |
Western Sydney University |
PLCO |
Apr 16, 2021 |
PLCO-765 |
| Thyroid disease prediction using machine learning algorithm |
Sneha Maria George |
Christ(Deemed to be University) |
PLCO |
Apr 16, 2021 |
PLCO-773 |
| Investigation of alternative screening trial endpoints |
Phil Prorok |
NCI |
MINN |
Apr 15, 2021 |
MINN-1 |
| Clinical Research Education application of the NLST data |
Kenneth Christopher |
Harvard Medical School |
NLST |
Apr 12, 2021 |
NLST-781 |
| Distribution of NLST imaging and limited clinical data through NCI public image repositories |
Keyvan Farahani |
National Cancer Institute |
NLST |
Apr 12, 2021 |
NLST-780 |
| Predicting risk of cancer in 12 sites using the screened arm of the PLCO |
Grant Izmirlian |
National Cancer Institute |
PLCO |
Apr 5, 2021 |
PLCO-762 |
| Investigation of alternative screening trial endpoints |
Philip Prorok |
NC I |
PLCO |
Apr 5, 2021 |
PLCO-761 |
| Development and Validation of a Head and Neck Cancer Risk Prediction Model |
John Cramer |
Karmanos Cancer Institute |
PLCO |
Apr 5, 2021 |
PLCO-760 |
| Bayesian hierarchical change point model with variable selections in hidden Markov model setting |
Hong Li |
medical university of south carolina |
PLCO |
Apr 5, 2021 |
PLCO-759 |
| Investigation of alternative screening trial endpoints |
Phil Prorok |
NCI |
NLST |
Apr 5, 2021 |
NLST-779 |
| Adolescent and adulthood BMI And Cancer risk using obese-year metrics: the ABACus 2 project |
Andrew Renehan |
University of Manchester |
PLCO |
Mar 30, 2021 |
PLCO-752 |
| Understanding the Robustness and Explainability of Machine Learning Algorithms Applied to Computed Tomography Volumes |
Michal Kucer |
Triad National Security, LLC |
NLST |
Mar 30, 2021 |
NLST-778 |
| Multimodal patient predictions |
Javier Alvarez Valle |
Microsoft |
NLST |
Mar 30, 2021 |
NLST-776 |
| Identification and Quantification of Cardiac Calcium and cardiovascular Risk Stratification |
Ashish Gautam |
KardioLabs LLC |
NLST |
Mar 30, 2021 |
NLST-774 |
| Machine Learning for Lung Nodule Detection and Diagnosis Classification |
Mehmet Kaya |
Florida Institute of Technology |
NLST |
Mar 30, 2021 |
NLST-777 |
| When to schedule the first screening for women's ovarian cancer based on her age and other parameters? |
Dongfeng Wu |
University of Louisville Research Foundation, Inc. |
PLCO |
Mar 30, 2021 |
PLCO-758 |
| Development of new predictive energy equations in adults aged 65-79 years and ≥80 years |
Judi Porter |
Deakin University |
IDATA |
Mar 23, 2021 |
IDATA-42 |
| Data-driven mathematical modeling approach for estimating lesion potency in lung cancer |
Souvik Roy |
University of Texas at Arlington |
NLST |
Mar 22, 2021 |
NLST-773 |
| Predicting outcome of lung cancer patients using deep learning |
Andreas Kleppe |
Institute for Cancer Genetics and Infomatics, Oslo University Hospital |
NLST |
Mar 22, 2021 |
NLST-772 |
