| Cisco Validated Design reference architecture for SAS Artificial Intelligence / Machine Learning |
Andrew Lockhart |
SAS |
NLST |
Apr 13, 2019 |
NLST-499 |
| Evaluating genetic, clinical, and environmental risk factors for second primary lung cancer |
Summer Han |
Stanford University |
NLST |
Apr 13, 2019 |
NLST-498 |
| Use of biometric data in pancreatic cancer prediction |
Bonny Banerjee |
University of Memphis |
PLCO |
Apr 10, 2019 |
PLCO-469 |
| Development of an assistive lung cancer screening system from chest X-ray images using an anatomically aware deep Convolutional Neural Networks (CNN) |
Taufiq Hasan |
Department of Biomedical Engineering, Bangladesh University of Engineering and Technology |
PLCO |
Apr 10, 2019 |
PLCO-471 |
| Automatic Coronary Calcium Scoring on both chest and cardiac CT using deep learning |
Yufeng Deng |
Infervision US Inc. |
NLST |
Apr 9, 2019 |
NLST-496 |
| Measurement error methods for wearable device data, treating daily measurements as imprecise draws from long-term average |
Dane Van Domelen |
Johns Hopkins Bloomberg School of Public Health |
IDATA |
Apr 8, 2019 |
IDATA-30 |
| Machine learning based lung cancer identification and characterization |
Richard Vlasimsky |
IMIDEX |
NLST |
Apr 5, 2019 |
NLST-495 |
| “Prostate cancer data analysis using machine learning methods” |
Henry Barlow |
The University of Sydney |
PLCO |
Apr 5, 2019 |
PLCO-468 |
| Is pre-biopsy MRI cost-effective relative to usual care in the diagnosis of prostate cancer? |
Trisha Saini |
Weill Cornell Medical College |
PLCO |
Apr 4, 2019 |
PLCO-466 |
| Predicting the location and interval of lung nodule occurrence from low-dose CT |
Matthew Blackledge |
Institute of Cancer Research |
NLST |
Apr 4, 2019 |
NLST-493 |
| Out of pocket costs associated with Lung Cancer Screening |
Daniel Reuland |
University of North Carolina at Chapel Hill Comprehensive Cancer Center |
NLST |
Apr 2, 2019 |
NLST-492 |
| Optimize radiological workflows with automated diagnostics |
Daniel Drieling |
MeVis Medical Solutions AG |
NLST |
Mar 29, 2019 |
NLST-491 |
| Quantitative CT Analysis to Predict Future Lung Cancer |
TIMOTHY CLOUSER |
Quantitative Imaging Solutions, LLC |
NLST |
Mar 29, 2019 |
NLST-490 |
| Gender-specific susceptibility and hormonal influence on lung cancer incidence |
Juan Wisnivesky |
Icahn School of Medicine at Mount Sinai |
PLCO |
Mar 25, 2019 |
PLCO-460 |
| Predicting patient outcomes with machine learning of cancer histopathology images |
Moritz Gerstung |
EMBL-EBI |
PLCO |
Mar 21, 2019 |
PLCO-463 |
| Neural Network Application in Medical Research with Concentration on Breast Cancer |
Chenying Lu |
Harrisburg University |
PLCO |
Mar 21, 2019 |
PLCO-462 |
| Risk factor epidemiology of thyroid cancer |
Omar Abdel-Rahman |
Avicenna Oncology center |
PLCO |
Mar 8, 2019 |
PLCO-458 |
| Gender-specific susceptibility and hormonal influence on lung cancer incidence |
Juan Wisnivesky |
Icahn School of Medicine at Mount Sinai |
NLST |
Mar 6, 2019 |
NLST-487 |
| The role of BMI in upgrading and upstaging of men with clinically localized prostate cancer |
Kathryn Barry |
University of Maryland, Baltimore |
PLCO |
Feb 28, 2019 |
PLCO-455 |
| Evaluating the Potential for Biomarker Use in CT Screening |
Hilary Robbins |
International Agency for Research on Cancer (IARC) |
PLCO |
Feb 20, 2019 |
PLCO-456 |
