| Varying preferences for predictive information among patients at risk for lung cancer |
Gary Weissman |
University of Pennsylvania Perelman School of Medicine |
NLST |
Jun 26, 2020 |
NLST-682 |
| Development and evaluation of deep-learning algorithm for the classification of lung nodules detected on CT-Scan |
Cecile Dupont |
MD Start |
NLST |
Jun 26, 2020 |
NLST-683 |
| Deep learning mortality prediction in NLST data |
Joseph Jacob |
University College London |
NLST |
Jun 26, 2020 |
NLST-681 |
| Applications of Deep Learning for the Automatic or Semi-automatic Detection of Lung Abnormalities |
Suryadipto Sarkar |
Arizona State University |
NLST |
Jun 22, 2020 |
NLST-679 |
| Comparison of radiologist recommended follow-up with procedures received by study participants following screening with LDCT |
Nana Boame |
Brown University |
NLST |
Jun 22, 2020 |
NLST-680 |
| Evaluating six-step parsimonious quadratic logistic regression for risk prediction |
Stuart Baker |
National Cancer Institute |
PLCO |
Jun 18, 2020 |
PLCO-637 |
| Verifying Explanatory Methods |
Thomas Lukasiewicz |
University of Oxford |
PLCO |
Jun 18, 2020 |
PLCO-638 |
| Deep learning-based prediction of colorectal tumor features and clinical characteristics based on histology images |
Ulrike Peters |
Fred Hutchinson Cancer Center |
PLCO |
Jun 18, 2020 |
PLCOI-634 |
| AI algorithms for Chest Xray screening |
Renga Bashyam |
Biocliq Technologies |
PLCO |
Jun 18, 2020 |
PLCOI-639 |
| AI-based scoring system for prostate cancer |
Okyaz Eminaga |
Stanford University School of Medicine |
PLCO |
Jun 18, 2020 |
PLCOI-635 |
| Deep Learning to detect Chronic Obstructive Pulmonary Disease |
Surya Bhatt |
University of Alabama at Birmingham |
NLST |
Jun 18, 2020 |
NLST-678 |
| Evaluating six-step parsimonious quadratic logistic regression for risk prediction |
Stuart Baker |
National Cancer Institute |
NLST |
Jun 12, 2020 |
NLST-676 |
| Diet and lifestyle factors and lung cancer risk and mortality: Classification and regression tree analysis |
Qian Wang |
University Hospitals Seidman Cancer Center |
PLCO |
Jun 9, 2020 |
PLCO-633 |
| Coffee consumption and risk of renal cell carcinoma in the PLCO cohort |
Jongeun Rhee |
NCI |
PLCO |
Jun 9, 2020 |
PLCO-632 |
| Comparative Effectiveness of Different Lung Cancer Treatments |
Chi-Fu Yang |
Stanford |
NLST |
Jun 9, 2020 |
NLST-675 |
| Genome wide association study (GWAS) of cholangiocarcinoma (CCA) |
Katherine McGlynn |
National Cancer Institute |
PLCO |
Jun 2, 2020 |
PLCO-631 |
| GSTM1-deletion in relation to cancer risk |
Ludmila Prokunina-Olsson |
NCI |
PLCO |
Jun 1, 2020 |
PLCO-629 |
| Prostate BPC3 |
Neal Freedman |
NCI |
PLCO |
May 26, 2020 |
2004-9000 |
| Interpretability of machine learning based prediction models for ovarian cancer classification using PLCO dataset |
Khyati Shah |
Liverpool John Moores University, UK |
PLCO |
May 20, 2020 |
PLCO-628 |
| Generalization of chest x-ray deep learning models |
Santiago Ibanez Caturla |
Hospital Universitario Virgen de la Arrixaca |
PLCO |
May 18, 2020 |
PLCOI-625 |
