| Development and validation of a deep learning-based method for lung cancer risk prediction in low-dose chest CT images |
Haewon Kim |
Keimyung University Dongsan Hospital |
NLST |
Jul 18, 2023 |
NLST-1097 |
| Application of Predictive Modelling Using Machine Learning Techniques to Predict Survival in Oncology |
Shanti Neff-Baro |
Amaris Consulting |
NLST |
Jul 18, 2023 |
NLST-1096 |
| Automated extraction of chest CT derived body composition biomarkers of tissue morphology and texture. |
Miranda Kirby |
Toronto Metropolitan University |
NLST |
Jul 18, 2023 |
NLST-1095 |
| Combination of imageomics and histopathology for prognostic analysis of non-small cell lung cancer |
Liangxing Li |
Southern Medical University |
NLST |
Jul 6, 2023 |
NLST-1092 |
| Research on CT Influence Omics Method of Lung Cancer Based on Deep Transfer Learning |
Xianwei Zhao |
NPIC |
NLST |
Jul 3, 2023 |
NLST-1091 |
| Methodologies for modeling clinical performance and utilities of a cancer screening test using NLST trial as an example |
James Dai |
GRAIL LLC |
NLST |
Jul 3, 2023 |
NLST-1090 |
| Time to benefit for lung cancer screening from low-dose computed tomography |
Tao Chen |
Xi'an Jiaotong University |
NLST |
Jun 26, 2023 |
NLST-1089 |
| Improving lung cancer risk prediction with artificial intelligence |
Chiara Paganelli |
Politecnico di Milano |
NLST |
Jun 15, 2023 |
NLST-1087 |
| Development of a Nodule Risk Calculator using NLST Data |
Christopher Towe |
University Hospitals |
NLST |
Jun 15, 2023 |
NLST-1086 |
| Lung Cancer Risk Research |
Chao Lang |
Qingdao Central Hospital |
NLST |
Jun 7, 2023 |
NLST-1085 |
| Explainable multi-label prediction of respiratory conditions in CTs with multi-task Dirichlet-prior VAE |
Rachael Harkness |
University of Leeds |
NLST |
Jun 6, 2023 |
NLST-1084 |
| Development and validation of a report generation model for the low-dose chest CT scans |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
Jun 2, 2023 |
NLST-1081 |
| Survival Analysis based on WSI images |
Ruofan Zhang |
Institute of Automation, CAS |
NLST |
Jun 2, 2023 |
NLST-1080 |
| Prediction of pulmonary nodular malignant wind and its progression based on axial attention and lung CT |
lehua yu |
Hunan University Of Science And Technology |
NLST |
Jun 2, 2023 |
NLST-1069 |
| Multimodal AI Algorithms for Diagnosis and Prognosis in Lung Cancer |
Daniel Rückert |
Technical University of Munich (TUM) |
NLST |
Jun 2, 2023 |
NLST-1075 |
| Personalizing screening intervals for lung cancer screening using artificial intelligence |
Scott Adams |
University of Saskatchewan |
NLST |
May 30, 2023 |
NLST-1064 |
| Exploring the generalization ability of chest XRay and CT pathology detection algorithms |
Bogdan Bercean |
S.C. Mindfully Technologies S.R.L. |
NLST |
May 30, 2023 |
NLST-1063 |
| Development and validation of a CT-based prognostication model for diffuse lung parenchymal diseases |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
May 30, 2023 |
NLST-1061 |
| Extended follow-up NLST data to support provision of biosample data to requesters |
Ilana Gareen |
Brown University |
NLST |
May 30, 2023 |
NLST-1062 |
| Lung Pathology image for ML |
Zheling Tan |
Shanghai Jiao Tong University |
NLST |
May 30, 2023 |
NLST-1065 |
