| Detection and Diagnosis of Lung & Breast Cancer with Deep Learning |
Shan Li |
Zephex Technology |
PLCO |
Jul 24, 2017 |
PLCO-289 |
| Impact of screening and management strategies on the development of metastatic disease in the PLCO Prostate Cancer Screening Trial |
Scott Eggener |
University of Chicago |
PLCO |
Jul 14, 2017 |
PLCO-285 |
| Enhancement of pulmonary nodule detection algorithm using large scale LDCT data |
Seungho Lee |
Vuno |
NLST |
Jul 10, 2017 |
NLST-322 |
| Precision medicine via survival analysis |
Yan Li |
University of Michigan |
NLST |
Jul 6, 2017 |
NLST-326 |
| Advanced Deep Learning for Early Detection and Prognostication in Lung Cancer |
Zeng Zeng |
Institute for Infocomm Research |
NLST |
Jul 5, 2017 |
NLST-323 |
| Localised Prostate Cancer Treatment: The Role of Risk-Aversion |
Nikola Jovanoski |
Universität Basel |
PLCO |
Jul 3, 2017 |
PLCO-281 |
| Predicting lung cancer prognosis with deep learning |
Francesco Ciompi |
Radboud University Medical Center |
NLST |
Jun 30, 2017 |
NLST-325 |
| Targeting low-dose CT to reduce mortality from lung cancer: a machine learning-based analysis of heterogeneous treatment effects in the NLST |
Aaron Baum |
Icahn School of Medicine at Mount Sinai |
NLST |
Jun 30, 2017 |
NLST-324 |
| Inference in ROC curves for biomrkers measured in two phase nested case control studies |
Ziding Feng |
Dept. of Biostatistics, The University of Texas MD Anderson Cancer Center |
PLCO |
Jun 30, 2017 |
PLCO-282 |
| Using Big Data for Computer-Aided Diagnosis of Chest CTs |
Ronald Summers |
National Institutes of Health Clinical Center |
NLST |
Jun 30, 2017 |
NLST-319 |
| Somatic mutations in oral rinses and prospective risk of head and neck cancers |
Anil Chaturvedi |
NCI |
PLCO |
Jun 29, 2017 |
2017-0034 |
| Circulating Estrogens, Androgens, and Progestogens and Risk of Breast Cancer in the PLCO Cohort |
Regina Ziegler |
National Cancer Institute |
PLCO |
Jun 29, 2017 |
2017-0029 |
| Blood metabolite profiles and risk of developing endometrial cancer |
Mary Playdon |
Huntsman Cancer Institute |
PLCO |
Jun 29, 2017 |
2017-0020 |
| Machine learning to differentiate between malignant and benign nodules |
Parag Chaudhari |
Mon Health Medical Center |
NLST |
Jun 22, 2017 |
NLST-315 |
| Deep learning for lung nodule detection and cancer prediction |
Quan Chen |
University of Kentucky |
NLST |
Jun 22, 2017 |
NLST-320 |
| Robust Radiomics Feature Extraction for Lung Cancer |
Suthirth Vaidya |
Predible Health |
NLST |
Jun 20, 2017 |
NLST-318 |
| Lung Cancer Early Detection Challenge: Concept to Clinic |
Isaac Slavitt |
DrivenData |
NLST |
Jun 20, 2017 |
NLST-317 |
| Deep Learning to Detect Lung Cancer and Predict Mortality |
George Washko |
Brigham and Women's Hospital |
NLST |
Jun 14, 2017 |
NLST-313 |
| Unsupervised feature extraction for benign and malignant pulmonary nodules |
Matthew Stephens |
University of Cincinnati |
NLST |
Jun 13, 2017 |
NLST-314 |
| Lung Cancer Risk in Patients with Interstitial Lung Disease |
Stacey-Ann Whittaker Brown |
Icahn School of Medicine at Mount Sinai |
NLST |
Jun 9, 2017 |
NLST-310 |
