| Interpretable Artificial Intelligence to select patients that will benefit from lung cancer screening |
Jean-Emmanuel Bibault |
Stanford University |
PLCO |
Mar 5, 2020 |
PLCO-594 |
| Lung Cancer Detection and Classification Using Deep Learning |
Daniel Korat |
Interdisciplinary Center Herzliya |
NLST |
Mar 3, 2020 |
NLST-643 |
| Relationship Among Energy Balance, Health Outcome, and 24-hour Time-Use Lifestyle Behaviors |
Yaozong He |
University of Illinois at Urbana-Champaign |
IDATA |
Mar 2, 2020 |
IDATA-34 |
| Personalizing colorectal treatment strategies through machine learning |
Jean-Emmanuel Bibault |
Stanford University |
PLCO |
Feb 27, 2020 |
PLCO-592 |
| Treatment effect on the Survival Time of Lung Cancer Patients |
Jing Zhou |
Department of Family and Preventive Medicine |
PLCO |
Feb 27, 2020 |
PLCO-591 |
| Lung cancer prognosis in CNUH |
Vi Vo Thi Tuong |
Chonnam National University |
NLST |
Feb 24, 2020 |
NLST-640 |
| Development and Investigation of Class Imbalanced Data Methods for Lung Cancer Incidence Prediction Using Clinical and Radiomics Data |
Matloob Khushi |
The University of Sydney |
NLST |
Feb 24, 2020 |
NLST-641 |
| Imaging Biomarkers for Lung Cancer Screening |
Hengyong Yu |
University of Massachusetts Lowell |
NLST |
Feb 19, 2020 |
NLST-639 |
| Evaluation of Thoracic Aortic Aneurysm Mortality with Low-Dose Computed Tomographic Screening. |
A Claire Watkins |
Stanford University |
NLST |
Feb 19, 2020 |
NLST-638 |
| Improve Lung Cancer Prediction by Training Multi-task Self-supervised Pre-training on Large Unlabeled Data |
Yi Chen |
ASUS AICS |
NLST |
Feb 19, 2020 |
NLST-637 |
| A Machine Learning Approach to Diagnosing Breast Cancer |
Michele La Ferla |
University of Malta |
PLCO |
Feb 19, 2020 |
PLCOI-585 |
| Developing a metabolite-based biomarker panel for prostate cancer detection and prognosis in African-American men |
Arun Sreekumar |
Baylor College of medicine |
PLCO |
Feb 19, 2020 |
PLCO-583 |
| Second-hand smoke (SHS) and mortality in never-smoking women |
Neal Freedman |
NCI |
PLCO |
Feb 19, 2020 |
PLCO-586 |
| A new mathematical model for the computation of optimal cancer surveillance schedules |
Johannes Reiter |
Stanford University |
NLST |
Feb 7, 2020 |
NLST-636 |
| A new mathematical model for the computation of optimal screening frequencies for lung and colorectal cancer |
Johannes Reiter |
Stanford University |
PLCO |
Feb 7, 2020 |
PLCO-581 |
| Bayesian network in differential diagnosis of head and neck cancer |
Kamila Bukirova |
Near East University |
PLCO |
Feb 7, 2020 |
PLCO-571 |
| Evaluation of dietary methionine intake and breast cancer incidence |
Vincent Cryns |
University of Wisconsin Madison |
PLCO |
Feb 7, 2020 |
PLCO-579 |
| Personalizing Lung Cancer Screening for Smokers with Comorbidities |
Minal Kale |
Icahn School of Medicine at Mount Sinai |
PLCO |
Feb 7, 2020 |
PLCO-578 |
| A new method to estimate the predictive value in a screening program |
Jian-Lun Xu |
NCI |
PLCO |
Feb 7, 2020 |
PLCO-580 |
| Secondary analysis of association between ethnicity and endometriosis when adjusted for age at first pregnancy using data from the PCLO-dataset |
Frank Teunissen |
London School of Hygiene and Tropical Medicine |
PLCO |
Feb 3, 2020 |
PLCO-569 |
