| Lifestyle risk factors for head and neck cancer |
Mia Hashibe |
University of Utah and Huntsman Cancer Institute |
PLCO |
Sep 16, 2016 |
PLCO-229 |
| Improved lung cancer screening with cognitive computing |
Shawn Stapleton |
Philips Research North America |
NLST |
Sep 16, 2016 |
NLST-241 |
| A machine learning approach for lung nodule classification. |
Alexander Kagen |
Mount Sinai Hospital System |
NLST |
Sep 2, 2016 |
NLST-239 |
| Predictive medical journeys for reduction of financial toxicity |
Srulik Dvorsky |
TailorMed |
PLCO |
Sep 2, 2016 |
PLCO-225 |
| Assessment as intervention: Examining behavioral and anthropometric response to longitudinal dietary and exercise monitoring in older adults. |
David Finitsis |
Hartford Healthcare Cancer Institute |
IDATA |
Aug 31, 2016 |
IDATA-5 |
| Classification of lung lesions using a convolutional neural network |
Shipeng Xie |
1.Nanjing University of Posts and Telecommunications 2.University of Pennsylvania |
NLST |
Aug 31, 2016 |
NLST-238 |
| A RISK-STRATIFIED APPROACH TO PROSTATE CANCER SCREENING IN THE PROSTATE, LUNG, COLORECTAL AND OVARIAN TRIAL PARTICIPANTS |
Firas Abdollah |
Henry Ford Hospital |
PLCO |
Aug 31, 2016 |
PLCO-226 |
| Male pattern baldness and risk of mortality and cancer outcomes |
Wen-Yi Huang |
National Cancer Institute, NIH |
PLCO |
Aug 29, 2016 |
PLCO-223 |
| Automatic detection and classification of lung abnormalities via deep learning and machine learning |
Igor Barani |
Enlitic |
PLCO |
Aug 24, 2016 |
PLCO-222 |
| Dairy intake and cancer risk: focusing on dairy fat content and consumption patterns |
Yumie Takata |
Oregon State University |
PLCO |
Aug 24, 2016 |
PLCO-224 |
| Automatic Lung Nodule Detection |
Paul Sajda |
Columbia University |
NLST |
Aug 23, 2016 |
NLST-236 |
| Sex hormones, hyperinsulinemia, and the risk of hematopoietic malignancies of the B-cell lineage |
Dean Hosgood |
Albert Einstein College of Medicine |
PLCO |
Aug 23, 2016 |
PLCO-221 |
| Regions-of-Interest Detection in big histopathological images |
Li Sulimowicz |
University of Texas at Arlington |
NLST |
Aug 22, 2016 |
NLST-237 |
| Deep Learning Inference: An application to screening lung diseases. |
Wakahiu Njenga |
http://behold.ai/ |
NLST |
Aug 18, 2016 |
NLST-235 |
| Lung Cancer and Lung Scar Carcinoma following Identification of Lung Scarring on Screening Low Dose Helical Computed Tomography (CT) Scan in the National Lung Screening Trial (NLST) |
Alison Van Dyke |
National Cancer Institute |
NLST |
Aug 15, 2016 |
NLST-234 |
| Automated Detection and Classification in Lung Cancer Screening |
David Bates |
N/A |
NLST |
Aug 15, 2016 |
NLST-233 |
| Evaluation of Checklist-Adjusted Food Frequency Questionnaire |
Fran Thompson |
National Cancer Institute |
IDATA |
Aug 15, 2016 |
IDATA-4 |
| Lung Tumor Diagnostics with Machine Learning |
Samuel Franklin |
N/A |
NLST |
Aug 2, 2016 |
NLST-232 |
| Proteomic, Glycomic and Autoantibody Markers that Complement CT Imaging for Early Lung Cancer Detection |
Paul Kinahan |
University of Washington |
NLST |
Jul 29, 2016 |
NLST-220 |
| Accuracy of physical activity and eating behavior assessment with diverse outcome measures in 50 - 74-year-old adults |
Alexis Ortiz |
Texas Woman's University-Houston |
IDATA |
Jul 26, 2016 |
IDATA-1 |
