| Ultra-processed food consumption and the risk of pancreatic cancer in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial |
Guo-Chao Zhong |
The Second Affiliated Hospital of Chongqing Medical University |
PLCO |
Mar 22, 2022 |
PLCO-940 |
| Uncovering roles of polyunsaturated fatty acids (PUFA) in pancreatic cancer etiology: a gene-diet interaction study |
Lang Wu |
University of Hawaii at Manoa |
PLCO |
Jan 27, 2020 |
PLCO-573 |
| Underlying risk of developing and dying from lung cancer |
Louise Henderson |
University of North Carolina at Chapel Hill |
NLST |
May 16, 2024 |
NLST-1248 |
| Understanding comorbidities that contribute to drug response in ovarian cancer |
Sara Cooper |
HudsonAlpha Institute for Biotechnology |
PLCO |
Apr 13, 2018 |
PLCO-362 |
| Understanding Factors Related to Prostate, Lung, and Colorectal Cancer Screening Among African American Men |
Marvella Ford |
Medical University of South Carolina Hollings Cancer Center |
PLCO |
Jul 1, 2006 |
2006-0089 |
| Understanding genetic basis of cancer survival time using PLCO GWAS |
Kai Yu |
NCI |
PLCO |
Oct 15, 2021 |
PLCO-845 |
| Understanding the Persistence Breast Cancer Racial Disparities |
Kelly Hirko |
Michigan State University |
PLCO |
Jul 15, 2021 |
PLCO-809 |
| Understanding the Robustness and Explainability of Machine Learning Algorithms Applied to Computed Tomography Volumes |
Michal Kucer |
Triad National Security, LLC |
NLST |
Mar 30, 2021 |
NLST-778 |
| Uneven Distribution of Cancer Histology in the National Lung Screening Trial |
Carsten Schroeder |
Georgia Regents University |
NLST |
Mar 12, 2014 |
NLST-63 |
| Unsupervised analysis of thorax CT datasets |
Marian Himstedt |
University of Luebeck |
NLST |
Jan 18, 2022 |
NLST-870 |
| Unsupervised Deep Learning Approach to Characterize the Normal-Appearing Tissue in Lung CT images |
Kayhan Batmanghelich |
University of Pittsburgh |
NLST |
Nov 7, 2017 |
NLST-363 |
| Unsupervised Deep Learning Detection of Lung Cancer Nodules |
Ouwen Huang |
Gradient Health |
NLST |
Feb 8, 2021 |
NLST-758 |
| Unsupervised feature extraction for benign and malignant pulmonary nodules |
Matthew Stephens |
University of Cincinnati |
NLST |
Jun 13, 2017 |
NLST-314 |
| Unsupervised lesion detection on lung CTs with deep learning |
Andreas Baur |
University of Bern |
NLST |
Dec 18, 2018 |
NLST-459 |
| Updated data request: Ovarian cancer risk factors by histologic subtypes and development of an ovarian cancer risk prediction model in the Ovarian Cancer Cohort Consortium (OC3) |
Nicolas Wentzensen |
DCEG, NCI |
PLCO |
Dec 11, 2018 |
PLCO-429 |
| Updated Likelihood ratios for bayesian analysis of Pulmonary Nodules |
Akrum Al-Zubaidi |
VVH |
NLST |
Dec 22, 2014 |
NLST-104 |
| Updates in lethal prostate cancer in the PLCO trial |
Jonathan Shoag |
Weill Cornell Medicine |
PLCO |
Dec 21, 2020 |
PLCO-701 |
| Upgrading and upstaging of men with clinically low-risk prostate cancer in PLCO |
Amanda Black |
NCI, DCEG, EBP |
PLCO |
Jun 23, 2014 |
PLCO-93 |
| use active learning to do the tumor segmentation. |
Sijie Wang |
the university of Tokyo |
NLST |
Oct 31, 2019 |
NLST-595 |
| Use machine learning and deep learning combined with multiparameter to avoid unnecessary biopsy |
Andrew Cao |
Independent |
PLCO |
Mar 16, 2021 |
PLCO-746 |
