| Circulating inflammatory markers and urinary metabolites in combination with low dose computed tomography screening (LDCT). |
Curtis Harris |
NCI |
NLST |
Sep 25, 2015 |
NLST-165 |
| Regional CT Parenchymal Abnormalities as Radiographic Biomarkers for Lung Cancer |
C. Matthew Kinsey |
University of Vermont College of Medicine |
NLST |
Sep 24, 2015 |
NLST-163 |
| NLST screen detected cardiovascular disease - impact on mortality and lung cancer screening |
Martin Tammemagi |
Brock University |
NLST |
Sep 21, 2015 |
NLST-162 |
| Estimating the cost effectiveness of lung screening in the Australian setting |
Marianne Weber |
Cancer Council NSW |
NLST |
Sep 15, 2015 |
NLST-161 |
| Time-specific measures of benefits due to screening |
Olli Saarela |
University of Toronto |
NLST |
Sep 10, 2015 |
NLST-158 |
| Investigation of image features and classification algorithms for lung disease identification |
Yiqiang Zhan |
Siemens Medical Solutions |
NLST |
Sep 3, 2015 |
NLST-155 |
| Lung volume and dimensions (height) correlation to population characteristics (BMI, Age, sex, race, height). |
Anat Shani |
Sensible-Medical |
NLST |
Sep 3, 2015 |
NLST-156 |
| Deep Learning Algorithm Performance |
Gregory Sorensen |
N/A |
NLST |
Aug 18, 2015 |
NLST-152 |
| Deep artificial neural networks for lung nodule detection and classification |
Giovanni Montana |
King's College London |
NLST |
Aug 7, 2015 |
NLST-150 |
| Using Machine Learning and Artificial Intelligence to Distinguish Between Malignant and Benign Lung Cancer Tumors in a CT Scan |
Santhosh Subramanian |
NCI Radiation Oncology |
NLST |
Aug 3, 2015 |
NLST-149 |
| Machine Learning for Event Detection in Medical Images |
Derek Merck |
Rhode Island Hospital |
NLST |
Jul 30, 2015 |
NLST-147 |
| Development of CADx for pulmonary nodules |
Timor Kadir |
Mirada Medical Ltd. |
NLST |
Jul 15, 2015 |
NLST-143 |
| Machine Learning algorithm development for lung cancer subtype identification and survival prediction |
JUNZHOU HUANG |
University of Texas at Arlington |
NLST |
Jun 30, 2015 |
NLST-141 |
| Assessing the value of future research in low-dose computed tomography lung cancer screening in the United States |
Joshua Roth |
Fred Hutchinson Cancer Research Center |
NLST |
Jun 18, 2015 |
NLST-142 |
| Utilization of deep learning methodology for automated lung nodule detection |
Elliot English |
MetaMind |
NLST |
May 28, 2015 |
NLST-140 |
| A Machine Learning Approach to Image Quality |
Andrew Brown |
MIT |
NLST |
May 14, 2015 |
NLST-139 |
| Hospital Mortality prediction |
Khoi Pham |
CSUSB |
NLST |
May 11, 2015 |
NLST-138 |
| Lung Cancer Program Strategy |
Natalie Trebes |
The Advisory Board Company |
NLST |
Apr 28, 2015 |
NLST-137 |
| Standalone assessment of a CAD system for lung nodule detection |
Luca Bogoni |
Siemens Healthcare |
NLST |
Apr 27, 2015 |
NLST-136 |
| Image-guided Lung Intervention |
Jesse Mao |
Intuitive Surgical |
NLST |
Apr 17, 2015 |
NLST-134 |
