| Longitudinal study on the growth and evolution of SSN |
Li Zhang |
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College |
NLST |
Feb 21, 2023 |
NLST-1016 |
| Low dose CT image denoising using a coupled generative adversarial network with unpaired data |
Fei Chen |
Xidian University |
NLST |
Feb 21, 2023 |
NLST-1017 |
| Comparison of multi-cancer early detection with LDCT in a lung cancer screening population |
Jonathan Heiss |
GRAIL, LLC |
NLST |
Feb 8, 2023 |
NLST-1014 |
| Deep learning model for discriminating early lung cancer from TB nodule and risk assessment management for lung nodule |
SANDRA VINAY KUMAR |
National Institute of Technology ,Karnataka |
NLST |
Feb 8, 2023 |
NLST-1013 |
| Projecting the impact of multicancer early detection tests on stage at diagnosis: a modeling approach |
JANE LANGE |
OREGON HEALTH AND SCIENCES UNIVERSITY |
NLST |
Jan 30, 2023 |
NLST-1012 |
| lung nodule segmentation and shape analysis |
DI XU |
University of California, Los Angeles |
NLST |
Jan 18, 2023 |
NLST-1011 |
| Lung Cancer Screening and Risk Assessment |
Edward Tan |
iota Medtech |
NLST |
Jan 13, 2023 |
NLST-1008 |
| Risk assessment of individuals with screen-detected lung nodules |
Stephen Duffy |
Queen Mary University of London |
NLST |
Jan 12, 2023 |
NLST-1007 |
| Deep Learning for Analysis of Pulmonary Nodules at Low-Dose CT |
Yajun Wu |
Shenzhen Yorktal Digital Medical Imaging Technologies Company Ltd， China |
NLST |
Jan 10, 2023 |
NLST-1005 |
| Radiographic health assessment of cardiovascular disease risk, smoking damage, and lung cancer screening. |
Richard Du |
Detect Medical Technology Limited |
NLST |
Dec 12, 2022 |
NLST-996 |
| Non-lung cancer incidence in NLST |
Ellen Chang |
GRAIL, LLC |
NLST |
Dec 8, 2022 |
NLST-995 |
| Medical Image Based Prognosis for Lung Cancer Patients |
Hongda Zhang |
Nanjing University |
NLST |
Dec 8, 2022 |
NLST-994 |
| Machine Learning with Low Dose CT Data |
Bennett Landman |
Vanderbilt University |
NLST |
Dec 8, 2022 |
NLST-993 |
| Development of anti-lung cancer screening system based on target recognition and natural language |
Yuan Dan |
Wuhan University of Science and Technology |
NLST |
Dec 6, 2022 |
NLST-991 |
| Whole slide images based cancer survival prediction using multiple instance learning with graph neural networks |
Weijia Zhang |
Southeast University |
NLST |
Dec 5, 2022 |
NLST-988 |
| Using delta radiomic features to construct a model for predicting growth and prognosis of persistent pulmonary subsolid nodules. |
Linyu Wu |
The First Affiliated Hospital of Zhejiang Chinese Medical University |
NLST |
Nov 30, 2022 |
NLST-987 |
| What does the National Lung Cancer Screening Trial imply for the effectiveness of computerized tomography screening in the US population? |
Issa Dahabreh |
Harvard University |
NLST |
Nov 2, 2022 |
NLST-983 |
| Association between Changes among Multiple Rounds Chest X-ray and Lung Cancer Risk in Two Screening Trials |
Ya Liu |
Tianjin Medical University Cancer Institute and Hospital |
NLST |
Nov 1, 2022 |
NLST-982 |
| Deep learning for indirect and direct cardiovascular risk estimation from ungated chest CT |
Piotr Slomka |
Cedars-Sinai |
NLST |
Nov 1, 2022 |
NLST-981 |
| Development of CAD for lung nodule screening |
Naïm Jalal |
GE HEALTHCARE |
NLST |
Oct 27, 2022 |
NLST-977 |
