| Detection of pulmonary nodules and reduction of the false positive rate |
Hsin-Ming Chen |
National Taiwan University Hospital |
NLST |
May 7, 2018 |
NLST-411 |
| Development of tools for segmentation and classification of lung imaging data |
Amir Amini |
University of Louisville Research Foundation, Inc. |
NLST |
May 7, 2018 |
NLST-410 |
| feature selection in lung cancer CT image |
Noura ABOUDI |
National School of Carthage Engineers |
NLST |
Apr 30, 2018 |
NLST-404 |
| Ensemble Learners for Boosted Explanatory Predictive Model of Lung Cancer Outcomes |
Ahmed Hassoon |
Johns Hopkins Bloomberg School of Public Health |
NLST |
Apr 27, 2018 |
NLST-407 |
| Machine Learning based lung nodule detection and malignancy prediction from low dose computed tomography (LDCT) images |
Tina Kapur |
Brigham and Women's Hospital |
NLST |
Apr 26, 2018 |
NLST-408 |
| The usage of machine learning algorithms in predicting mortality among cancer patients. |
Dawid Siwicki |
University of Warsaw |
NLST |
Apr 23, 2018 |
NLST-405 |
| Algorithm development on lung medical image |
Jingya Liu |
City College of New York, City University of New York |
NLST |
Apr 17, 2018 |
NLST-401 |
| Pulmonary Nodule Detection in Lung CT Images using Deep Learning Networks |
Tsvi Lev |
NEC Corporation of America (Israeli Research Labs) |
NLST |
Apr 17, 2018 |
NLST-400 |
| Estimation of natural progression and survival rates for lung cancer based on NLST project |
Sherry Yueh-Hsia CHIU |
Chang Gung University |
NLST |
Apr 17, 2018 |
NLST-358 |
| Deep learning for early diagnosis of lung cancer using low-dose CT scans |
Safak Yakti |
Binghamton University |
NLST |
Apr 9, 2018 |
NLST-398 |
| Prediction of abnormalities in Chest X-Rays with deep learning techniques |
Sasa Grbic |
Siemens Medical Solutions |
NLST |
Apr 9, 2018 |
NLST-397 |
| Artificial Intelligence in Oncology |
Scott Johnson |
Varian |
NLST |
Apr 9, 2018 |
NLST-399 |
| Racial differences in the smoking duration and smoking dose attributable risk of lung cancer |
Brid Ryan |
NCI |
NLST |
Mar 28, 2018 |
NLST-396 |
| Computer-aided assessment of the chest from a Lung Cancer Screening population |
Benedikt Graf |
IBM Watson Health |
NLST |
Mar 9, 2018 |
NLST-394 |
| Using generative adversarial neural networks to create synthetic images for improved classification of lung cancer |
Caleb Bradberry |
Radford University |
NLST |
Feb 23, 2018 |
NLST-392 |
| Comparing Baseline Characteristics and Outcomes of a Minority-Based Lung Cancer Screening Program to the National Lung Screening Trial |
Mary Pasquinelli |
University of Illinois Hospital and Health Sciences System |
NLST |
Feb 13, 2018 |
NLST-391 |
| Edge detection training of a deep learning algorithm using a 3D data set |
William Randazzo |
AutoRad, LLC |
NLST |
Feb 12, 2018 |
NLST-389 |
| Lung Interval Challenge |
Keyvan Faharani |
CIP, NCI |
NLST |
Feb 12, 2018 |
NLST-390 |
| Lung Nodule Detection using Deep Learning |
Vismantas Dilys |
Canon Medical Research |
NLST |
Jan 25, 2018 |
NLST-388 |
| Comprehensive Lung Cancer Assessment via Deep Learning |
Qian Li |
VoxelCloud, inc. |
NLST |
Jan 10, 2018 |
NLST-386 |
