| Predict histological grade by CT image auto-reviewing |
Edwin Wang |
University of Calgary |
NLST |
Aug 16, 2017 |
NLST-340 |
| Predicting lung cancer from chest radiography features |
Ashwini Suriyaprakash |
Independent |
NLST |
Aug 7, 2017 |
NLST-334 |
| Ultra-Low-Dose Lung Nodule CT Surveillance Using Prior-Image-Based Reconstruction |
Hao Zhang |
Johns Hopkins University |
NLST |
Aug 3, 2017 |
NLST-329 |
| Interpretable machine learning models for lung cancer screening |
Cynthia Rudin |
Duke |
NLST |
Aug 2, 2017 |
NLST-332 |
| Gist response |
Patrick Brennan |
University of Sydney |
NLST |
Jul 31, 2017 |
NLST-333 |
| Role of Image Segmentation Methods in Increasing the Efficiency and Accuracy of Neural Networks in Cancer Detection |
Zong Zhang |
N/A |
NLST |
Jul 28, 2017 |
NLST-335 |
| Enhancement of pulmonary nodule detection algorithm using large scale LDCT data |
Seungho Lee |
Vuno |
NLST |
Jul 10, 2017 |
NLST-322 |
| Precision medicine via survival analysis |
Yan Li |
University of Michigan |
NLST |
Jul 6, 2017 |
NLST-326 |
| Advanced Deep Learning for Early Detection and Prognostication in Lung Cancer |
Zeng Zeng |
Institute for Infocomm Research |
NLST |
Jul 5, 2017 |
NLST-323 |
| Predicting lung cancer prognosis with deep learning |
Francesco Ciompi |
Radboud University Medical Center |
NLST |
Jun 30, 2017 |
NLST-325 |
| Targeting low-dose CT to reduce mortality from lung cancer: a machine learning-based analysis of heterogeneous treatment effects in the NLST |
Aaron Baum |
Icahn School of Medicine at Mount Sinai |
NLST |
Jun 30, 2017 |
NLST-324 |
| Using Big Data for Computer-Aided Diagnosis of Chest CTs |
Ronald Summers |
National Institutes of Health Clinical Center |
NLST |
Jun 30, 2017 |
NLST-319 |
| Machine learning to differentiate between malignant and benign nodules |
Parag Chaudhari |
Mon Health Medical Center |
NLST |
Jun 22, 2017 |
NLST-315 |
| Deep learning for lung nodule detection and cancer prediction |
Quan Chen |
University of Kentucky |
NLST |
Jun 22, 2017 |
NLST-320 |
| Robust Radiomics Feature Extraction for Lung Cancer |
Suthirth Vaidya |
Predible Health |
NLST |
Jun 20, 2017 |
NLST-318 |
| Lung Cancer Early Detection Challenge: Concept to Clinic |
Isaac Slavitt |
DrivenData |
NLST |
Jun 20, 2017 |
NLST-317 |
| Deep Learning to Detect Lung Cancer and Predict Mortality |
George Washko |
Brigham and Women's Hospital |
NLST |
Jun 14, 2017 |
NLST-313 |
| Unsupervised feature extraction for benign and malignant pulmonary nodules |
Matthew Stephens |
University of Cincinnati |
NLST |
Jun 13, 2017 |
NLST-314 |
| Lung Cancer Risk in Patients with Interstitial Lung Disease |
Stacey-Ann Whittaker Brown |
Icahn School of Medicine at Mount Sinai |
NLST |
Jun 9, 2017 |
NLST-310 |
| Bayesian probabilistic techniques for cancer growth prediction/ prognosis based on informative features containing significant medical details within the historical CT scans |
Haroon Rasheed |
Bahria University,Karachi - 75620 Pakistan |
NLST |
Jun 8, 2017 |
NLST-307 |
