| Automated classification/ detection of Incidental Findings in LCS scans |
Colin Jacobs |
Radboud University Medical Center |
NLST |
Jun 17, 2024 |
NLST-1268 |
| Investigating Potential of Ethnicity Information Embedded in Medical Images |
Rasika Rajapakshe |
BC Cancer, part of the Provincial Health Services Authority |
NLST |
Jun 17, 2024 |
NLST-1264 |
| Analyzing the Utility of Smoking Cessation Requirements in the Morbidity and Mortality of Current and Former Smokers Undergoing Lung Resection |
Robert Van Haren |
University of Cincinnati Medical Center |
NLST |
Jun 17, 2024 |
NLST-1262 |
| AI-based multi-dimensional characterization of pulmonary nodules to improve lung cancer screening |
Francesco Sforazzini |
Siena Imaging SRL |
NLST |
May 29, 2024 |
NLST-1257 |
| Predicting mortality risk using cardiac LDCT regions |
chen yingchi |
National Yang Ming Chiao Tung University |
NLST |
May 16, 2024 |
NLST-1255 |
| Using foundation model for cardiovascular disease detection. |
Xiaofeng Yang |
Emory University |
NLST |
May 16, 2024 |
NLST-1249 |
| Nodule risk assessment |
Scott Morris |
Maverix Medical |
NLST |
May 16, 2024 |
NLST-1252 |
| Underlying risk of developing and dying from lung cancer |
Louise Henderson |
University of North Carolina at Chapel Hill |
NLST |
May 16, 2024 |
NLST-1248 |
| Comparing Non-Malignancy Rate Definitions Utilizing the NLST Cohort |
Christopher Caruso |
University of Pennsylvania |
NLST |
May 16, 2024 |
NLST-1245 |
| A Method for Evaluating the Quality of CT Scans in a Screening Environment |
Daniel Truhn |
University Hospital Aachen |
NLST |
Apr 29, 2024 |
NLST-1242 |
| 5DCT Radiation Oncology |
RICKY SAVJANI |
University of California Los Angeles |
NLST |
Apr 29, 2024 |
NLST-1240 |
| Development of a Woman-Specific Risk Model for Participation in Lung Cancer CT Screening |
Marie-Pierre Revel |
APHP |
NLST |
Apr 29, 2024 |
NLST-1237 |
| From clinical trials to real world practice: health status of community-dwelling veterans receiving lung cancer screening compared to randomized trial participants |
Alison Rustagi |
University of California, San Francisco |
NLST |
Apr 18, 2024 |
NLST-1236 |
| Evaluating the Cost-Effectiveness of the Sybil Model for Lung Nodule Surveillance in Cancer Screening |
Kei Chuen Ma |
Massachusetts Institute of Technology |
NLST |
Apr 18, 2024 |
NLST-1235 |
| Screening lung cancer from CT scans through deep learning and assistive AI |
Amulya Mathur |
Carnegie Mellon University |
NLST |
Apr 2, 2024 |
NLST-1225 |
| Probabilistic Analysis of NLST data and prediction |
Jyoti Bhadana |
University of Alberta |
NLST |
Apr 2, 2024 |
NLST-1224 |
| Predicting Pulmonary Function Abnormalities with a Texture-Based Quantification of Normal Lung Parenchyma in Chest Computed Tomography |
Alysson Carvalho |
ID'Or Institute Research and Education |
NLST |
Apr 2, 2024 |
NLST-1223 |
| Enhancing Pulmonary Involvement Assessment in Computed Tomography Scans Using Predictive Models Based on Demographics and Anatomical Measurements |
Alysson Carvalho |
ID'Or |
NLST |
Apr 2, 2024 |
NLST-1222 |
| AI-assisted Lung Nodule Detection in Radiology |
Anita Blazevic |
FH Technikum Vienna |
NLST |
Mar 27, 2024 |
NLST-1215 |
| Multimodal Medical Imaging Fusion for Diagnostic Assistance: Towards a General Model |
Axel Bessy |
ATOS |
NLST |
Mar 25, 2024 |
NLST-1210 |
