| 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 |
| Development of a CT-based Automated Radiomics Technique for Nodule Detection, Malignancy Prediction and Histological Subtyping of Lung Cancer. |
Alexander Nicol |
The Hong Kong Polytechnic University |
NLST |
Jan 26, 2022 |
NLST-877 |
| Lung Abnormality Detection using Deep learning |
Harshil Soni |
System Level Solutions India Ptv.Ltd. |
NLST |
Jan 26, 2022 |
NLST-875 |
| Deep learning AIDS medicine |
wei zhang |
East China Normal University |
NLST |
Jan 26, 2022 |
NLST-873 |
| 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 |
| Clinically Applicable Deep Learning Pipeline for Diagnosis of Mediastinal Neoplasms |
Hengrui Liang |
The First Affiliated Hospital of Guangzhou Medical University |
NLST |
Jan 12, 2022 |
NLST-868 |
| Pulmonary Adenocarcinoma of Low Malignant Potential |
Eric Burks |
Boston University School Of Medicine |
NLST |
Jan 7, 2022 |
NLST-867 |
| Chest Radiograph and Computed Tomography Phenotyping For Longevity Prediction Using Deep Learning – Training and Validation in Chinese Patients |
Varut Vardhanabhuti |
The University of Hong Kong |
NLST |
Jan 5, 2022 |
NLST-865 |
| Low-dose CT scan screening for lung cancer: To establish an accurate predictive model through radiomics methods and optimize follow-up CT screening strategies |
Yin Cai |
The Hong Kong Polytechnic University |
NLST |
Dec 30, 2021 |
NLST-863 |
| Multi-Organ Lesion Analysis using Deep Learning in Chest CT |
Le Lu |
Alibaba DAMO Academy |
NLST |
Nov 30, 2021 |
NLST-860 |
| 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 |
| Assessment of the association between the participant characteristics and CT images on low dose chest CT |
Shouliang Qi |
Northeastern University |
NLST |
Nov 5, 2021 |
NLST-850 |
| Modified Lung-RADS classification incorporating nodule risk calculator. |
Alain Tremblay |
THE GOVERNORS OF THE UNIVERSITY OF CALGARY |
NLST |
Nov 5, 2021 |
NLST-849 |
