| Data-driven mathematical modeling approach for estimating lesion potency in lung cancer |
Souvik Roy |
University of Texas at Arlington |
NLST |
Mar 22, 2021 |
NLST-773 |
| Predicting outcome of lung cancer patients using deep learning |
Andreas Kleppe |
Institute for Cancer Genetics and Infomatics, Oslo University Hospital |
NLST |
Mar 22, 2021 |
NLST-772 |
| Dysanapsis and lung cancer |
Benjamin Smith |
The Trustees of Columbia University in the City of New York |
NLST |
Mar 10, 2021 |
NLST-768 |
| Automated assessment of cardiovascular disease risk from CTs using deep learning |
Shazia Akbar |
Altis Labs, Inc. |
NLST |
Mar 10, 2021 |
NLST-770 |
| Development of clinically applied recurrence prediction model through artificial intelligence |
Sung Yong Kim |
Infinitt Healthcare co,ltd |
NLST |
Mar 10, 2021 |
NLST-767 |
| Longitudinal Deep Radiomic Signatures for Lung Cancer Prognosis and Treatment Response Prediction (renewal of project NLST-256) |
Lisa Di Jorio |
Imagia Cybernetics |
NLST |
Mar 9, 2021 |
NLST-761 |
| Predicting Mortality and Causes from Chest CT Images |
david wilson |
UPMC |
NLST |
Mar 9, 2021 |
NLST-762 |
| Using Low-Dose Lung Computed Tomography to Predict the Risk of Lung Cancer |
Gigin Lin |
Chang Gung Memorial Hospital |
NLST |
Mar 8, 2021 |
NLST-764 |
| Creating a reference distribution of predicted lung cancer risk |
Scott Lee |
Vanderbilt University Medical Center |
NLST |
Mar 8, 2021 |
NLST-763 |
| Unsupervised Deep Learning Detection of Lung Cancer Nodules |
Ouwen Huang |
Gradient Health |
NLST |
Feb 8, 2021 |
NLST-758 |
| A Lung Cancer Risk Prediction Model Through bio-Medical Data Using Rule Extraction and CT image abnormality detection |
Jerry Liu |
Prairie View A&M University |
NLST |
Feb 5, 2021 |
NLST-756 |
| Training a mathematical model to estimate lung weight and volume using anthropometric and sociodemographic features |
Lygia Costa |
Independent Researcher |
NLST |
Jan 27, 2021 |
NLST-753 |
| Evaluation of Interstitial Lung Abnormalities using a deep learning developed algorithm |
Anand Devaraj |
Royal Brompton & Harefield NHS Foundation Trust |
NLST |
Jan 14, 2021 |
NLST-751 |
| Recurrent Neural Network for prediction of survival in lung cancer patients using longitudinal CT data |
Maria J. Ledesma Carbayo |
Universidad Politécnica de Madrid |
NLST |
Jan 8, 2021 |
NLST-748 |
| Analysis the tumor character and clinical data |
hanae yoshida |
Hitachi,Ltd |
NLST |
Jan 8, 2021 |
NLST-740 |
| CT Findings and Long-Term Mortaity from Respiratory Diseases |
Paul Pinsky |
NCI |
NLST |
Jan 8, 2021 |
NLST-750 |
| Implication of new models for predicting lung cancer screening selection based on CT scan and pathology image data |
Yuan Luo |
Northwestern University |
NLST |
Dec 31, 2020 |
NLST-745 |
| Validation of Deep Learning Algorithm on Nodule Detection using Chest Radiographs in the National Lung Screening Trial |
Hao Wu |
Infervision Medical Technology |
NLST |
Dec 29, 2020 |
NLST-744 |
| Artificial Intelligence To Predict The Risk Of Malignancy In Lung Cancer By Low-Dose CT Screening Studies |
Christian Salvatore |
DeepTrace Technologies, spin-off of University School for Advanced Studies IUSS Pavia |
NLST |
Dec 21, 2020 |
NLST-739 |
| Convolutional Survival Machines: Deep Convolutional Networks for Survival Analysis with Time-Varying risks. |
Artur Dubrawski |
Carnegie Mellon University |
NLST |
Dec 21, 2020 |
NLST-738 |
