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 |
Clinical Lung Cancer Screening Model |
Dragos Zanchi |
Pulmonary and Sleep of Tampa Bay PL |
NLST |
Feb 14, 2024 |
NLST-1193 |
Microsimulation model of a risk-based lung cancer screening program |
Jacopo Di Silvestre |
University of Oslo |
NLST |
Jan 26, 2024 |
NLST-1191 |
Lung disease detection using CT scan and AI |
Vaibhav Ram |
SRM institute of science and technology |
NLST |
Jan 17, 2024 |
NLST-1190 |
Identifying Cell Types in Lung Cancer Pathology Images Using Deep Learning |
guiyun Chen |
Jiangnan University |
NLST |
Jan 17, 2024 |
NLST-1189 |
Lung Cancer Risk Analysis |
Danbir Rashid |
Leading University |
NLST |
Jan 16, 2024 |
NLST-1187 |
The Practical Application of the Lung Cancer Risk Prediction Model 'Sybil': Replicating and Validating Study Results in Taiwan |
Tsung-Ren Huang |
National Taiwan University |
NLST |
Jan 11, 2024 |
NLST-1186 |
AI-based prognosis and therapy response prediction from pathology images |
Iurii Tolkach |
Institute of Pathology, University Hospital Cologne |
NLST |
Jan 9, 2024 |
NLST-1185 |
Tumor Longitudinal Growth Prediction |
Bohan Yang |
Wuhan University |
NLST |
Jan 9, 2024 |
NLST-1184 |
Using Contrastive Masked Video Autoencoders to detect lung cancer in high-risk individuals with low-dose CT scans |
Bryan Jiang |
STEM ADEMIA LLC |
NLST |
Jan 9, 2024 |
NLST-1183 |
The effect of the non cancer condition detected to the location of the cancer diagnosed |
Grace Sidhu |
Abbotsleigh |
NLST |
Jan 9, 2024 |
NLST-1181 |
Transporting a prediction model to a new cohort with a novel resampling method |
Lei Song |
George Washington University |
NLST |
Jan 9, 2024 |
NLST-1182 |
Community Early Detection of Chronic Obstructive Pulmonary Diseases using Quantitative LDCT Imaging and Machine Learning |
Fanjie Lin |
The First Affiliated Hospital of Guangzhou Medical University |
NLST |
Jan 2, 2024 |
NLST-1167 |
Automatic lung tumor segmentation from CT images |
yufen He |
Wuhan University |
NLST |
Jan 2, 2024 |
NLST-1179 |