| Lung Cancer Screening in Patients with a Personal History of Cancer |
Louise Henderson |
The University of North Carolina at Chapel Hill |
NLST |
Jun 17, 2019 |
NLST-525 |
| New Machine Learning Methods for Lung Nodule Detection and Classification to Optimize Cancer Screening |
Maxine Tan |
Monash University Malaysia |
NLST |
Jun 13, 2019 |
NLST-522 |
| An update of the clinical and cost-effectiveness of lung cancer screening by low-dose CT |
Chris Hyde |
University of Exeter |
NLST |
Jun 5, 2019 |
NLST-519 |
| Automatic musculoskeletal analysis of the spine in low dose chest CT scans using machine learning techniques |
Guillaume Chabin |
Siemens Healthcare SAS |
NLST |
Jun 5, 2019 |
NLST-518 |
| ARTIFICIAL STAINING OF HISTOPATHALOGICAL IMAGES |
Alper Yilmaz |
The Ohio State University |
NLST |
May 31, 2019 |
NLST-516 |
| Blockchain-based information system for medical image transfer |
Jianjing Lin |
Rensselaer Polytechnic Institute |
NLST |
May 28, 2019 |
NLST-515 |
| Coronary artery calcification quantification |
Joris Wakkie |
Aidence |
NLST |
May 28, 2019 |
NLST-514 |
| 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 |
| 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 |
| 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 |