| 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 |
| Using Big Data for Computer-Aided Diagnosis of Chest X-Rays |
Ronald Summers |
National Institutes of Health Clinical Center |
PLCO |
Jun 9, 2017 |
PLCO-279 |
| Bayesian probabilistic techniques for cancer growth prediction/ prognosis based on informative features containing significant medical details within the historical CT scans |
Haroon Rasheed |
Bahria University,Karachi - 75620 Pakistan |
NLST |
Jun 8, 2017 |
NLST-307 |
| Predicting medical outcomes using deep learning with CT chest images |
Lyle Palmer |
University of Adelaide |
NLST |
Jun 8, 2017 |
NLST-311 |
| REPRODUCIBILITY OF PHYSICAL ACTIVITY MEASURES IN ADULTS AND IMPLICATIONS FOR EPIDEMIOLOGICAL STUDIES |
Pedro Saint-Maurice |
NCI |
IDATA |
Jun 7, 2017 |
IDATA-12 |
| Towards Precision Prevention: Testing a Machine Learning Algorithm in Pancreatic Cancer |
Shannon Lynch |
Fox Chase Cancer Center |
PLCO |
May 30, 2017 |
PLCO-277 |
| Deep Learning for Pathology Detection in Chest X-Rays |
Ivo Matteo Baltruschat |
University Medical Center Hamburg-Eppendorf |
PLCO |
May 24, 2017 |
PLCO-275 |
| Association of Coffee Drinking with Leukocyte Telomere Length |
Erikka Loftfield |
Yale School of Public Health |
PLCO |
May 24, 2017 |
PLCO-271 |
| A metabolomic analysis of multiple myeloma development and progression |
Jonathan Hofmann |
National Cancer Institute |
PLCO |
May 23, 2017 |
2016-0009 |
| Evaluating comorbidities and life expectancy in patients undergoing LDCT screening in the real world setting |
Jonathan Iaccarino |
Boston University Medical Campus |
NLST |
May 19, 2017 |
NLST-309 |
| Deep Learning for Pathology Image Analysis |
Lily Peng |
Google |
PLCO |
May 16, 2017 |
PLCO-257 |
| Computer Vision AI to Diagnose Lung Cancer from CT Images |
Peter Szoldan |
MedInnoScan Kft. |
NLST |
May 12, 2017 |
NLST-306 |
