| Mortality benefit from lung cancer screening |
Deepthi Mani |
University of Washington |
NLST |
Jul 19, 2016 |
NLST-230 |
| Data Mining Techniques to predict Early Stage Lung Cancer in NLST population |
Jinglu Wang |
Weill Cornell Medical College |
NLST |
Jul 19, 2016 |
NLST-229 |
| A novel CNN-based Computer-Aided Detection system for Lung Cancer |
Baocai Yin |
University of Science and Technology of China |
NLST |
Jul 7, 2016 |
NLST-227 |
| Comparing accuracy of prevalent Neural Network models for classification of Radiology images |
Keyur Mithawala |
None |
NLST |
Jul 5, 2016 |
NLST-226 |
| Deep learning using medical image for CAD research. |
LIANJUN Mei |
Terralogic Technologies |
NLST |
Jun 17, 2016 |
NLST-224 |
| Lung cancer malignancy prediction tool using chest CT and open-source machine learning |
Padraig Cantillon-Murphy |
University College Cork |
NLST |
Jun 15, 2016 |
NLST-219 |
| Early Detection of Lung Cancer Using Machine Learning: Creating Algorithms to Identify CT Scans of Lung Cancer Nodules |
Michael Blueglass |
Yorktown High School |
NLST |
Jun 14, 2016 |
NLST-225 |
| The association of paraspinous muscle size and density and T12 vertebral bone mineral density and mortality in older adults |
Leon Lenchik |
Wake Forest School of Medicine |
NLST |
Jun 7, 2016 |
NLST-223 |
| Automated Lung Segmentation for Tumor Tracking |
Marwan Sati |
Merge Healthcare an IBM Company |
NLST |
Jun 7, 2016 |
NLST-197 |
| A Novel Approach to Facilitate Interoperability between Clinical Decision Support Systems and Electronic Health Records |
Ran Wei |
Rutgers University - New Jersey Medical Shcool |
NLST |
May 26, 2016 |
NLST-222 |
| A Radiomics approach to distinguish benign from malignant nodules on Low Dose CT |
Anant Madabhushi |
Emory University |
NLST |
May 20, 2016 |
NLST-218 |
| Artificial Intelligence to detect and classify tumors |
Daniel Meyer |
Sphera, Inc. |
NLST |
May 12, 2016 |
NLST-215 |
| CAD system for lung cancer |
Xiaoting Dai |
College of medical devices and food science, University of Shanghai for Science and Technology |
NLST |
May 3, 2016 |
NLST-213 |
| AI for Lung Nodule Characterization |
Hugo Aerts |
Harvard-DFCI |
NLST |
Apr 26, 2016 |
NLST-208 |
| Developing automated algorithms for detection of lung pathology |
Lily Peng |
Google LLC |
NLST |
Apr 25, 2016 |
NLST-204 |
| Predicting overall survival using CT and pathological image features |
Peng Huang |
Johns Hopkins University |
NLST |
Apr 21, 2016 |
NLST-214 |
| Data mining for NLST |
Rong Chen |
University of Maryland, Baltimore |
NLST |
Apr 19, 2016 |
NLST-211 |
| Positive Predictive Value (PPV) trends of lung screening with Low Dose Computed Tomography (LDCT) in next rounds and a prediction model of nodules with higher probability of being true positive |
Reshad Hassannezhad |
Tabriz University of Medical Sciences |
NLST |
Apr 13, 2016 |
NLST-210 |
| Using markers of endemic fungal infection to predict malignancy in lung nodules identified on screening CT |
Laszlo Vaszar |
Mayo Clinic Arizona |
NLST |
Apr 13, 2016 |
NLST-205 |
| Therapixel-AI |
Vincent Montalieu |
Therapixel |
NLST |
Apr 12, 2016 |
NLST-209 |
