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Here you can browse the complete list of projects for NLST whose requests for data/biospecimens were approved.

Name Principal Investigator Institution Study Date Approved Project ID
Image quality assessment of digitized chest X ray images and feature characterization of "Chest X-ray Age" Tomoki Nakamizo Radiation Effects Research Foundation NLST May 30, 2023 NLST-1071
Cohort CT image features and knowledge-driven lung nodule risk assessment Xiao Yang Fuzhou University NLST May 30, 2023 NLST-1072
Develop a ChatGPT-style system for CT scan analysis Neet Patel University of California San Diego NLST May 30, 2023 NLST-1073
Evaluate Artera’s Deep Learning clinical-histologic system as a prognostic classifier for lung cancer patients Erin Stewart Artera Inc NLST May 30, 2023 NLST-1060
Computational Staining of Pathology Images to Study the Tumor Microenvironment in Lung Cancer Liangrui Pan Hunan university NLST May 9, 2023 NLST-1057
Volume-Based Consolidation-to-Tumor Ratio Predicting the Invasiveness of Part-Solid Lung Cancers by Using CT he qiangfeng Linfen Central Hospital NLST May 2, 2023 NLST-1053
Non-invasive multiomics anlaysis based lung cancer diagnosis Mavis Mu Key Laboratory of Molecular Imaging, Chinese Academy of Science NLST Apr 24, 2023 NLST-1051
Developing an Accurate and Interpretable Risk-Based Model for Lung Cancer Screening Yi Luo Moffitt Cancer Center NLST Apr 19, 2023 NLST-1050
Study on classification of pulmonary nodules based on Lung-RADS standard Zhiwei Deng Zhengzhou University NLST Apr 19, 2023 NLST-1047
Feature Selection of Non-Small Cell Lung Cancer Nodules Jiaqi Ou School of Software Engineering, Chengdu University of Information Technology NLST Apr 13, 2023 NLST-1045
Weakly Supervised Pulmonary Nodule Detection Yan Yan Xiamen University NLST Apr 13, 2023 NLST-1041
Retrospective Evaluation of CT Based Biomarkers on Cancer and Non-Cancer Related Patient Outcomes Steven Rothenberg The University of Alabama at Birmingham NLST Apr 13, 2023 NLST-1044
Intelligent diagnosis system based on artificial intelligence for malignancy grading of lung nodule CT images zhe quan Zhengzhou University NLST Apr 13, 2023 NLST-1043
Development of a pathological image analysis and cell classification pipeline with convolutional neural network Honglei Zhang Yunnan University of Traditional Chinese Medicine NLST Mar 30, 2023 NLST-1036
AI-based tools to support decision-making in lung cancer screening Johanna Topalis Department of Radiology, University Hospital, LMU Munich NLST Mar 28, 2023 NLST-1034
Causal Counterfactual visualisation for human causal decision making – A case study in healthcare xujiong ye University of Lincoln NLST Mar 28, 2023 NLST-1033
The Relationship between lung cancer and regular screenings Abbie Anderson Des Moines Area Community College NLST Mar 28, 2023 NLST-1031
Multimodal self-supervised medical image segmentation xin lin Hangzhou Dianzi University NLST Mar 21, 2023 NLST-1029
Imaging Biomarkers and Lung Cancer Development and Mortality DAVID WILSON University of pittsburgh NLST Mar 21, 2023 NLST-1025
Quantifying cancer screening overdiagnosis using synthetic excess incidence Stuart Baker National Cancer Institute NLST Mar 20, 2023 NLST-1026