| Validating the performance of Deep Neural Network models for lung nodule detection |
Naglis Ramanauskas |
Oxipit, UAB |
NLST |
Feb 16, 2022 |
NLST-886 |
| A Deep Learning Model for Improved Cancer Risk Prediction in Sequential Lung Screening X-Rays |
Regina Barzilay |
Massachusetts Institute of Technology |
NLST |
Feb 16, 2022 |
NLST-885 |
| Building integrative multi-modal and interpretable AI systems for personalized lung cancer therapy |
Ruijiang Li |
Stanford University |
NLST |
Feb 16, 2022 |
NLST-884 |
| Optimization of lung cancer screening interval by deep learning-based risk prediction |
Adam Alessio |
Michigan State University |
NLST |
Feb 16, 2022 |
NLST-883 |
| Personalised lung cancer treatment through outcome predictions and patient stratification |
Charles-Antoine Collins Fekete |
University College London |
NLST |
Feb 16, 2022 |
NLST-881 |
| Progression prediction of lung cancer using deep learning model |
Sunghoon Kwon |
Seoul National University |
NLST |
Feb 2, 2022 |
NLST-879 |
| Assessing the Generalizability of Findings from the NLST |
Louise Henderson |
University of North Carolina at Chapel Hill |
NLST |
Jan 26, 2022 |
NLST-876 |
| Development and validation of a neural network to detect and describe lung nodules |
Alexandre Compas |
Gleamer SAS |
NLST |
Jan 26, 2022 |
NLST-878 |
| Lung Abnormality Detection using Deep learning |
Harshil Soni |
System Level Solutions India Ptv.Ltd. |
NLST |
Jan 26, 2022 |
NLST-875 |
| Fully automated end to end analysis of non-small-cell lung carcinoma using deep learning techniques |
Eranga Ukwatta |
University of Guelph |
NLST |
Jan 26, 2022 |
NLST-871 |
| Unsupervised analysis of thorax CT datasets |
Marian Himstedt |
University of Luebeck |
NLST |
Jan 18, 2022 |
NLST-870 |
| Federated Validation of Lung Nodule Detection Algorithms. |
Brian Ayers |
Gesund AI |
NLST |
Jan 18, 2022 |
NLST-869 |
| Pulmonary Adenocarcinoma of Low Malignant Potential |
Eric Burks |
Boston University School Of Medicine |
NLST |
Jan 7, 2022 |
NLST-867 |
| Lower level of education matters when it comes to compliance to lung cancer screening |
Akeel Alali |
King Abdullah International Medical Research Center’s (KAIMRC) and King Saud bin Abdulaziz university for health sciences |
NLST |
Nov 30, 2021 |
NLST-856 |
| The benefits and harms of lung cancer screening in Florida |
Jiang Bian |
University of Florida Board of Trustees |
NLST |
Nov 30, 2021 |
NLST-857 |
| Health economic evaluation for lung cancer screening alone or combined with screening for emphysema and coronary calcium scoring |
Hendrik Koffijberg |
University of Twente |
NLST |
Nov 15, 2021 |
NLST-852 |
| Analysis of screening technology performance and patient demographics to improve blood-based early lung cancer detection |
Toumy Guettouche |
Mercy BioAnalytics |
NLST |
Nov 15, 2021 |
NLST-851 |
| Modified Lung-RADS classification incorporating nodule risk calculator. |
Alain Tremblay |
THE GOVERNORS OF THE UNIVERSITY OF CALGARY |
NLST |
Nov 5, 2021 |
NLST-849 |
| Validation of Automated Lung Nodule Detection, Segmentation, and Matching |
Samuel Peterson |
VIDA Diagnostics, Inc |
NLST |
Nov 3, 2021 |
NLST-848 |
| Self-selection and decision to participate in clinical trials: evidence from screening trials |
Hualong Diao |
Stony Brook University |
NLST |
Nov 3, 2021 |
NLST-845 |
