| Improving Lung Cancer Screening Rates and Smoking Documentation through Targeted Electronic Clinical Decision Support |
Travis Osterman |
Vanderbilt University Medical Center |
NLST |
Nov 2, 2015 |
NLST-173 |
| Computational tools for automatic ROI extraction in pathology |
Joëlle Barral |
Google Life Sciences |
NLST |
Oct 23, 2015 |
NLST-171 |
| Quantitative radiomic assessment of lung nodules with low dose CT |
Chuan Zhou |
University of Michigan |
NLST |
Oct 22, 2015 |
NLST-170 |
| Computational tools for classification and histologic grading of lung cancer |
Ruijiang Li |
Stanford University |
NLST |
Oct 15, 2015 |
NLST-169 |
| Abnormality Detection |
Ryan Chamberlain |
Invenshure LLC |
NLST |
Oct 8, 2015 |
NLST-168 |
| The Autonomous Collection and Databasing of Cancer and Structural Specific Features Present in CT Based Cancer Images through mathematical imaging based Systems |
Jaffar Ali Shahul Hameed |
Florida Gulf Coast University |
NLST |
Oct 7, 2015 |
NLST-166 |
| Virtual biopsy of pulmonary nodules |
Francesco Ciompi |
Radboud University Medical Center |
NLST |
Sep 30, 2015 |
NLST-164 |
| 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 |
| The quantitative analysis of Pneumoconiosis |
Xiaoyu Li |
University of Electronic Science and Technology of China |
NLST |
Aug 31, 2015 |
NLST-153 |
| 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 |
| Using deep learning to enhance cancer diagnosis and classification |
Wang Qin |
AccuRad |
NLST |
Jul 30, 2015 |
NLST-145 |
