| AI-Enhanced Lung Cancer Risk Prediction and Nodule Detection |
Mohammad Monir Uddin |
North South University |
NLST |
Jun 17, 2024 |
NLST-1270 |
| Design and development of an AI algorithm to predict recurrence and treatment response in NSCLC patients from CT and pathology images |
Raffaella Massafra |
Istituto Tumori "Giovanni Paolo II" I.R.C.C.S. |
NLST |
Jun 17, 2024 |
NLST-1269 |
| Automated classification/ detection of Incidental Findings in LCS scans |
Colin Jacobs |
Radboud University Medical Center |
NLST |
Jun 17, 2024 |
NLST-1268 |
| The deep learning model to predict lung cancer risk within the next 3 years by once Low-dose computed tomography screening |
Lei Shi |
Radiology Department of Zhejiang Cancer Hospital |
NLST |
Jun 17, 2024 |
NLST-1265 |
| 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 |
| Developing an AI diagnostic model for lung cancer based on deep learning algorithms using histopathology images and imaging images |
Wenchuan Zhang |
Department of pathology of West China hospital,China |
NLST |
May 29, 2024 |
NLST-1261 |
| 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 |
| To develop a prediction model for non-small cell lung cancer based on radiomics |
Yang Ruiyi |
China Medical University |
NLST |
May 16, 2024 |
NLST-1246 |
| Research on the evolutionary algorithm of CT images and pathological images based on multiple time scales |
Lijing Sun |
Nanjing Tech University |
NLST |
May 16, 2024 |
NLST-1250 |
| Comparing Non-Malignancy Rate Definitions Utilizing the NLST Cohort |
Christopher Caruso |
University of Pennsylvania |
NLST |
May 16, 2024 |
NLST-1245 |
| 5DCT Radiation Oncology |
RICKY SAVJANI |
University of California Los Angeles |
NLST |
Apr 29, 2024 |
NLST-1240 |
| Self-supervised Pyramid Mask Transformer for Universal Chest CT Prognosis Pre-training |
Zhexin Chen |
Southeast University |
NLST |
Apr 29, 2024 |
NLST-1238 |
| 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 |
| Conformalized Survival Analysis from Whole Slide Histopathological Images |
Qian Zhao |
Department of Statistics, Xi'an Jiaotong University |
NLST |
Apr 12, 2024 |
NLST-1232 |
| Development and external validation of a deep learning model for lung cancer pathological grading |
Runhuang Yang |
China Capital Medical University |
NLST |
Apr 12, 2024 |
NLST-1231 |
