| Lung cancer prognosis in CNUH |
Vi Vo Thi Tuong |
Chonnam National University |
NLST |
Feb 24, 2020 |
NLST-640 |
| Development and Investigation of Class Imbalanced Data Methods for Lung Cancer Incidence Prediction Using Clinical and Radiomics Data |
Matloob Khushi |
The University of Sydney |
NLST |
Feb 24, 2020 |
NLST-641 |
| Imaging Biomarkers for Lung Cancer Screening |
Hengyong Yu |
University of Massachusetts Lowell |
NLST |
Feb 19, 2020 |
NLST-639 |
| Evaluation of Thoracic Aortic Aneurysm Mortality with Low-Dose Computed Tomographic Screening. |
A Claire Watkins |
Stanford University |
NLST |
Feb 19, 2020 |
NLST-638 |
| Improve Lung Cancer Prediction by Training Multi-task Self-supervised Pre-training on Large Unlabeled Data |
Yi Chen |
ASUS AICS |
NLST |
Feb 19, 2020 |
NLST-637 |
| A new mathematical model for the computation of optimal cancer surveillance schedules |
Johannes Reiter |
Stanford University |
NLST |
Feb 7, 2020 |
NLST-636 |
| Developing a prognostic prediction model using Delta Radiomic Features and Clinical Information for Lung Cancer Detection |
XIAOFENG WANG |
Cleveland Clinic |
NLST |
Jan 30, 2020 |
NLST-634 |
| Comparison of National Lung Cancer Resection Outcomes to Screening Trial Outcomes |
Tyler Grenda |
Sidney Kimmel Medical College, Thomas Jefferson University |
NLST |
Jan 27, 2020 |
NLST-633 |
| Lung cancer detection using Deep Convolutional Neural Network |
Deepa P L |
Mar Baselios College of Engineering and Technology |
NLST |
Jan 27, 2020 |
NLST-632 |
| Improvement of the Accuracy in Detection of pulmonary nodules |
Wei-Ying Chen |
International Integrated Systems, Inc |
NLST |
Jan 27, 2020 |
NLST-631 |
| Studies to use extended NLST follow-up data |
Hormuzd Katki |
NCI |
NLST |
Jan 27, 2020 |
NLST-626 |
| Targeting low-dose computer tomography screening to improve lung-cancer survival: a machine learning-based post-hoc analysis of heterogeneous treatment effects in the National Lung Screening Trial |
Liangyuan Hu |
Icahn School of Medicine |
NLST |
Jan 27, 2020 |
NLST-630 |
| Data-efficient and interpretable machine learning framework for lung cancer screening |
Lei Xing |
Stanford University |
NLST |
Jan 27, 2020 |
NLST-628 |
| Development of lung cancer diagnostic artificial intelligence based on CT images |
Mate Denes |
Ulyssys Ltd. |
NLST |
Jan 10, 2020 |
NLST-627 |
| Evaluation of Deep Learning techniques for mortality prediction and abnormality detection in screening chest imaging |
Bartosz Borucki |
Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw |
NLST |
Jan 3, 2020 |
NLST-625 |
| Systems Modeling of community-based Lung Cancer Screening Programs to Improve Quality |
Archana Nandakumar |
University of Washington |
NLST |
Jan 3, 2020 |
NLST-624 |
| Development and validation of AI-based lung nodule management and lung analysis software |
Hee Jun Park |
CORELINESOFT |
NLST |
Dec 26, 2019 |
NLST-623 |
| Development and evaluation of algorithms for the lung disease diagnostics/management systems |
Yoshiro Kitamura |
FUJIFILM corporation |
NLST |
Dec 26, 2019 |
NLST-622 |
| Integrative analysis to predict lung nodule classification |
Zhe Li |
Singlera Genomics Inc. |
NLST |
Dec 16, 2019 |
NLST-621 |
| Lung Cancer Screening - A non-invasive methodology for early diagnosis |
Hélder Oliveira |
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science |
NLST |
Dec 13, 2019 |
NLST-615 |
