| Longitudinal analysis of lung diseases using CT and pathology images |
Vaishnavi Subramanian |
University of Illinois at Urbana-Champaign |
NLST |
May 22, 2019 |
NLST-512 |
| Building a Deep Learning prediction model using CT images and patient characteristics |
Jagdeep Podichetty |
Critical Path Institute |
NLST |
May 22, 2019 |
NLST-511 |
| Study on the Growth and Evolution of Pulmonary Focus on Long-term CT Imaging |
ning xiao |
Taiyuan University of Technology |
NLST |
May 21, 2019 |
NLST-509 |
| Attention-based deep learning approach for simultaneous cancer risk assessment and nodule detection in CT lung screening |
Elena Ericheva |
botkin.ai |
NLST |
May 8, 2019 |
NLST-508 |
| Development of radiomic models for lung nodule diagnosis |
Binsheng Zhao |
Columbia University Medical Center |
NLST |
May 7, 2019 |
NLST-507 |
| Validation of a standardized semiquantitative template for reporting cardiac abnormalities on thoracic CT examinations of patients with non-cardiac disease |
Alexander Bankier |
University of Massachusetts Medical School |
NLST |
May 1, 2019 |
NLST-506 |
| Lung Screening: Efficacy versus Effectiveness |
Ilana Gareen |
Brown University |
NLST |
Apr 29, 2019 |
NLST-505 |
| Lung lesions segmentation and cancer prediction |
Ha Nguyen |
Vingroup Big Data Institute |
NLST |
Apr 29, 2019 |
NLST-504 |
| Lung Nodule Classification and Diagnosis and Optimize cancer screening |
Jingmei Jiang |
Peking Union Medical College |
NLST |
Apr 17, 2019 |
NLST-503 |
| Population wide sarcopenia and sarcopenic obesity analysis |
Andrew Green |
The University of Manchester |
NLST |
Apr 17, 2019 |
NLST-497 |
| Detection and prognosis of lung cancer with deep learning |
Daniel Truhn |
RWTH Aachen University |
NLST |
Apr 16, 2019 |
NLST-500 |
| Cisco Validated Design reference architecture for SAS Artificial Intelligence / Machine Learning |
Andrew Lockhart |
SAS |
NLST |
Apr 13, 2019 |
NLST-499 |
| Evaluating genetic, clinical, and environmental risk factors for second primary lung cancer |
Summer Han |
Stanford University |
NLST |
Apr 13, 2019 |
NLST-498 |
| Automatic Coronary Calcium Scoring on both chest and cardiac CT using deep learning |
Yufeng Deng |
Infervision US Inc. |
NLST |
Apr 9, 2019 |
NLST-496 |
| Machine learning based lung cancer identification and characterization |
Richard Vlasimsky |
IMIDEX |
NLST |
Apr 5, 2019 |
NLST-495 |
| Predicting the location and interval of lung nodule occurrence from low-dose CT |
Matthew Blackledge |
Institute of Cancer Research |
NLST |
Apr 4, 2019 |
NLST-493 |
| Out of pocket costs associated with Lung Cancer Screening |
Daniel Reuland |
University of North Carolina at Chapel Hill Comprehensive Cancer Center |
NLST |
Apr 2, 2019 |
NLST-492 |
| Optimize radiological workflows with automated diagnostics |
Daniel Drieling |
MeVis Medical Solutions AG |
NLST |
Mar 29, 2019 |
NLST-491 |
| Quantitative CT Analysis to Predict Future Lung Cancer |
TIMOTHY CLOUSER |
Quantitative Imaging Solutions, LLC |
NLST |
Mar 29, 2019 |
NLST-490 |
| Gender-specific susceptibility and hormonal influence on lung cancer incidence |
Juan Wisnivesky |
Icahn School of Medicine at Mount Sinai |
NLST |
Mar 6, 2019 |
NLST-487 |
