Predicting survival and molecular expression from histological images in lung cancer |
Gil Shamai |
Technion Research and Development Foundation Ltd |
NLST |
Nov 17, 2020 |
NLST-727 |
Deep Learning for Discovering and Visualising Biomarkers |
Gustavo Carneiro |
University of Adelaide |
NLST |
Nov 4, 2020 |
NLST-723 |
Validation of Deep Learning Algorithm by using extended follow-up data in the National Lung Screening Trial |
Ping Hu |
NCI |
NLST |
Oct 22, 2020 |
NLST-715 |
Development and cost analysis of a lung nodule management strategy combining artificial intelligence and Lung-RADS for baseline lung cancer screening |
Paul Babyn |
University of Saskatchewan |
NLST |
Oct 22, 2020 |
NLST-722 |
Detection of pulmonary nodules |
Yubo Liu |
Qingdao University of Science and Technology |
NLST |
Oct 19, 2020 |
NLST-719 |
Explainable Artificial Intelligence in Radiotherapy: A CT imaging based neural network autonomous system for clinical decision support used in automatic radiation dose calculation for Lung Carcinoma (Lung Cancer) |
Hristo Petkov |
University Of Strathclyde |
NLST |
Oct 17, 2020 |
NLST-720 |
Reconstruction of 3D Thoracic CT Volumes from Single Plane Thoracic CTs |
Jaykar Panchmatia |
Rothman Institute at Thomas Jefferson University Hospital |
NLST |
Oct 17, 2020 |
NLST-718 |
Reconstructing volumetric Computed Tomography data from 2D X-ray projections with deep learning |
Tianyu Han |
Physics of Molecular Imaging Systems, Experimental Molecular Imaging, RWTH Aachen University |
NLST |
Oct 13, 2020 |
NLST-717 |
Incidence of Second Primary Lung Cancer in Patients with a History of Head and Neck Cancer |
John Cramer |
Karmanos Cancer Institute |
NLST |
Oct 8, 2020 |
NLST-714 |
lung cancer screening |
anwei li |
shiyuan health research center |
NLST |
Oct 8, 2020 |
NLST-713 |
Automated Coronary Calcium Screening from Chest CT |
Ryan Chamberlain |
Minnesota HealthSolutions |
NLST |
Oct 8, 2020 |
NLST-716 |
Detecting, Identifying, Grouping and Analysing All Existing Diseases in Large-Scale Chest CT Database with Deep Learning |
Le Lu |
PAII Inc. |
NLST |
Sep 22, 2020 |
NLST-710 |
Transportation of Diagnostic Accuracy Measures to a New Target Population |
Bing Li |
Brown University |
NLST |
Sep 20, 2020 |
NLST-712 |
3D Convolutional Neural Network for Classifying Lung Nodule Malignancy |
Albert Hsiao |
UC San Diego |
NLST |
Sep 16, 2020 |
NLST-706 |
DEEP LEARNING USING CHEST COMPUTED TOMOGRAPHY FOR THE DETECTION AND DIAGNOSIS OF LUNG CANCER |
Jeremy Burt |
Medical University of South Carolina |
NLST |
Sep 12, 2020 |
NLST-709 |
Smart Bronchoscopy |
James Shen |
Noah Medical Corporation |
NLST |
Sep 12, 2020 |
NLST-708 |
A deep-learning signature of lesion detection, malignancy evaluation, risk stratification and management strategy for pulmonary nodules on computed tomography |
Chang Chen |
Shanghai Pulmonary Hospital, Tongji University School of Medicine |
NLST |
Sep 10, 2020 |
NLST-707 |
Deep Learning for Prediction of Progression and Overall Survival of Lung Cancer using CT Examinations |
Brian Huang |
University of Pennsylvania |
NLST |
Aug 18, 2020 |
NLST-705 |
Learning with Sure data for Lung Cancer Prediction |
Hanxiao Zhang |
Institute of Medical Robotics, Shanghai Jiao Tong University |
NLST |
Aug 18, 2020 |
NLST-704 |
Development of Ultra High Resolution CT for Differential Diagnosis of Lung Nodules found using Low Dose CT |
Rasika Rajapakshe |
BC Cancer Agency Sindi Ahluwalia Hawkins Centre for the Southern Interior |
NLST |
Aug 18, 2020 |
NLST-703 |