| Computer-Aided System for the Improvement of Nodule Detection and Characterization in Thoracic CT based on a novel vessel suppressed CT Volume |
Matthew Freedman |
Virginia Tech |
NLST |
Dec 23, 2014 |
NLST-106 |
| Computer-Aided Treatment Effectiveness Assessment Based on Lung Cancer CT Screening |
Hsiao-Dong Chiang |
Cornell University |
NLST |
Sep 26, 2017 |
NLST-346 |
| Computer assisted detection of abnormalities in chest CT scans |
Joel Pinto |
Nuance Communications |
NLST |
Sep 18, 2017 |
NLST-348 |
| Computerized Early Diagnosis of Lung Cancer |
Mengjie Shen |
The University of Auckland |
NLST |
Jul 31, 2018 |
NLST-431 |
| Computerized Heart and Lung Disease Detection in Low-dose CT Images |
Pingkun Yan |
Rensselaer Polytechnic Institute |
NLST |
Dec 19, 2017 |
NLST-382 |
| Computerized image analysis of morphology, texture on H&E slides of colon cancer patients |
Anant Madabhushi |
Emory University |
PLCO |
Feb 16, 2022 |
PLCOI-917 |
| Computer Tomography (CT) Scan image classification using Artificial Intelligence |
Manish Chaturvedi |
Pandit Deendayal Petroleum University |
NLST |
Nov 9, 2017 |
NLST-372 |
| Computer Vision AI to Diagnose Lung Cancer from CT Images |
Peter Szoldan |
MedInnoScan Kft. |
NLST |
May 12, 2017 |
NLST-306 |
| Computer Vision Applications for Medical Imaging |
Jameel Ghata |
University of Florida |
NLST |
Jan 29, 2016 |
NLST-189 |
| Conceal-Reveal analysis |
Paul Pinsky |
NCI |
MINN |
Jun 20, 2023 |
MINN-4 |
| Confirmed Lung Cancers, Stage IA and IB with No Surgery Recorded DE/TI |
Martin Oken |
University of Minnesota |
PLCO |
Jul 1, 2006 |
2006-0191 |
| Considering explainability and privacy when developing machine learning models to predict early risk of cancer |
Christopher Duckworth |
University of Southampton |
PLCO |
Feb 20, 2025 |
PLCO-1837 |
| Consumption of sugar, sugar-sweetened beverages and liver cancer |
Katherine McGlynn |
National Cancer Institute |
PLCO |
Sep 1, 2020 |
PLCO-664 |
| Contextual influences on dietary behavior in older adults: How screen time, physical location, and social environment are associated with dietary intake |
Robert Korycinski |
National Cancer Institute |
IDATA |
Oct 19, 2016 |
IDATA-8 |
| Continuation of the Breast and Prostate Cancer Cohort Consortium (BPC3): Contributions of the PLCO Cohort to Breast Cancer Studies |
Regina Ziegler |
NCI, DCEG, EBP |
PLCO |
May 27, 2008 |
2007-0261 |
| Continued deep learning modeling for early detection |
Jeremy Howard |
University of San Francisco |
NLST |
Jan 25, 2017 |
NLST-274 |
| Contribution of Inherited Risk to the Development of Ovarian Carcinoma in the PLCO Trial |
Barbara Norquist |
University of Washington |
PLCO |
Aug 12, 2019 |
2019-0022 |
| Contribution to consortial activities for clarifying the etiology of male breast cancers |
Louise Brinton |
NCI, DCEG, HREB |
PLCO |
Jan 28, 2010 |
2008-0252 |
| Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. |
Artur Dubrawski |
Carnegie Mellon University |
NLST |
Dec 21, 2020 |
NLST-738 |
| Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. |
Artur Dubrawski |
Carnegie Mellon University |
PLCO |
Dec 21, 2020 |
PLCOI-706 |
