| 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 |
| Development of CADx for pulmonary nodules |
Timor Kadir |
Mirada Medical Ltd. |
NLST |
Jul 15, 2015 |
NLST-143 |
| Lung abnormalities detection via deep convolutional neural network |
Jiang Yun |
Peking University |
NLST |
Jul 13, 2015 |
NLST-144 |
| 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 |
| Autodetection of semantic features in pulmonary nodules |
Roger Chylla |
HealthMyne |
NLST |
Mar 18, 2015 |
NLST-129 |
