| 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 |
| A Hybrid Classical-Quantum Neural Network to Predict Future Lung Cancer Risk From a Single Low-Dose CT |
Weixin Lu |
New York University |
NLST |
Mar 25, 2024 |
NLST-1208 |
| XECAN and Rescue Lung CTLS Registry |
Bin Yang |
XECAN Smart Safe Oncology |
NLST |
Mar 25, 2024 |
NLST-1203 |
| Segmentation of future lung cancer from LDCT screening scans. |
Daniel Truhn |
Department of Diagnostic and Interventional Radiology of the University Hospital Aachen (Germany) |
NLST |
Mar 12, 2024 |
NLST-1207 |
| The utility of CT-based nodule characteristics and polygenic risk score in the setting of a lung cancer screening trial. |
Gerard Silvestri |
Medical University of South Carolina |
NLST |
Mar 11, 2024 |
NLST-1201 |
| Anomaly Detection in Lung CT Scans through AWS SageMaker: A Machine Learning Approach |
Emma Kang |
University of California at Berkeley |
NLST |
Mar 11, 2024 |
NLST-1202 |
| Feasibility of colorectal and lung cancer screening using machine learning towards effective screening and early detection |
Sujin Kim |
University of Kentucky |
NLST |
Feb 29, 2024 |
NLST-1200 |
| Validation of a multimodal generative model for lung cancer and tuberculosis detection on chest radiograph in screening population |
Amy Hong |
Kakaobrain |
NLST |
Feb 26, 2024 |
NLST-1197 |
| Long-Term Mortality Patterns Following Lung Cancer Subtype Resections: A Comparative Analysis of NLST Data |
Christopher Towe |
Department of Surgery, University Hospitals Cleveland Medical Center, Case Western Reserve University |
NLST |
Feb 26, 2024 |
NLST-1196 |
| Reassessing Efficacy: Understanding Failures in Lung Cancer Screening Despite Low-Dose CT Protocol Adherence |
Christopher Towe |
Department of Surgery, University Hospitals Cleveland Medical Center, Case Western Reserve University |
NLST |
Feb 26, 2024 |
NLST-1195 |
| Automated Machine Learning System for Analysis and Interpretation of Lung CT images |
John Pepper |
National Cancer institute, Division of Cancer Prevention |
NLST |
Feb 14, 2024 |
NLST-1194 |
