| Continued deep learning modeling for early detection |
Jeremy Howard |
University of San Francisco |
NLST |
Jan 25, 2017 |
NLST-274 |
| SPORE Grant Pipeline |
Paul Kinahan |
University of Washington |
NLST |
Jan 5, 2017 |
NLST-271 |
| Lung nodule characterization using machine learning techniques |
Jack Lin |
N/A |
NLST |
Jan 4, 2017 |
NLST-270 |
| Intelligent Lung Cancer Diagnostic Aid System: a RADIOMICS approach applied to histology |
Lucas Lima |
Federal University of Alagoas |
NLST |
Dec 27, 2016 |
NLST-268 |
| Application of machining learning in lung cancer prediction with the NLST and PLCO data |
Liang Ge |
Diannai (Shanghai) Biotech Co., Ltd. |
NLST |
Dec 27, 2016 |
NLST-269 |
| Risk modelling of time to lung cancer diagnosis |
Anton Schreuder |
Radboudumc |
NLST |
Dec 27, 2016 |
NLST-267 |
| Medical data mining on small datasets |
Ron Wolfslast |
University Hamburg |
NLST |
Dec 16, 2016 |
NLST-266 |
| MRI screening for lung cancer: Markov modeling using the NLST CT outcomes data |
Mark Schiebler |
UW-Madison School of Medicine and Public Health |
NLST |
Dec 15, 2016 |
NLST-265 |
| Early detection of lung cancer with deep neural nets |
weiyi xie |
JianPei technology, Ltd |
NLST |
Dec 13, 2016 |
NLST-260 |
| Instance-driven semantic segmentation and clinical information assessment of temporal changes for lung nodules |
Kang Li |
Department of Industrial and Systems Engineering |
NLST |
Dec 5, 2016 |
NLST-261 |
| RETROSPECTIVE ANALYSIS OF PULMONARY NODULES USING A NEW ALGORITHM FOR DETERMINING INTERVAL GROWTH, WITH SUBSEQUENT PROSPECTIVE ANALYSIS FOR BLINDED VALIDATION |
John Billings |
Independent Researcher |
NLST |
Dec 5, 2016 |
NLST-263 |
| Automatic lung nodule detection by CNN |
Shuang Wu |
Yitu USA |
NLST |
Dec 2, 2016 |
NLST-258 |
| Early Detection and Prognosis of Lung Cancer |
Yun Li |
UNC Chapel Hill |
NLST |
Dec 2, 2016 |
NLST-262 |
| Statistical models to predict future subject’s lung cancer risk: application to NLST and PLCO data |
Ping Hu |
NCI |
NLST |
Nov 21, 2016 |
NLST-259 |
| Clinical Decision Support System (CDSS) and self-learning tool for radiologists for Lung CT using Content Based Image Retrieval (CBIR). |
Sudipta Mukhopadhyay |
Indian Institute of Technology Kharagpur, India |
NLST |
Nov 10, 2016 |
NLST-255 |
| Longitudinal Deep Radiomic Signatures for Lung Cancer Prognosis and Treatment Response Prediction |
Nicolas Chapados |
Imagia Inc. |
NLST |
Nov 10, 2016 |
NLST-256 |
| Tumor early detection and prognosis |
Hongtu Zhu |
University of Texas MD Anderson Cancer Center |
NLST |
Nov 3, 2016 |
NLST-254 |
| Development and evaluation of a retrieval system for a medical image database |
Georg Langs |
ContextFlow GmbH |
NLST |
Oct 27, 2016 |
NLST-253 |
| Validation of Emphysema in NLST CT scans |
david wilson |
University of Pittsburgh |
NLST |
Oct 18, 2016 |
NLST-252 |
| Development of CADx for pulmonary nodules |
Lyndsey Pickup |
Optellum Ltd. |
NLST |
Oct 13, 2016 |
NLST-251 |
