| Evaluating six-step parsimonious quadratic logistic regression for risk prediction |
Stuart Baker |
National Cancer Institute |
NLST |
Jun 12, 2020 |
NLST-676 |
| Comparative Effectiveness of Different Lung Cancer Treatments |
Chi-Fu Yang |
Stanford |
NLST |
Jun 9, 2020 |
NLST-675 |
| Visceral Obesity is associated with adverse lung cancer outcomes |
Saikrishna Yendamuri |
Roswell Park Comprehensive Cancer Center |
NLST |
May 12, 2020 |
NLST-669 |
| Deep learning algorithm for the detection of critical findings on chest CT images. |
Maria Mercedes Serra |
Entelai |
NLST |
May 12, 2020 |
NLST-670 |
| Validation Testing of CADe for Pulmonary Nodules |
Yusuke Nakamura |
Plusman LLC |
NLST |
Apr 30, 2020 |
NLST-667 |
| Statistical models to predict future subject’s lung cancer risk: application to NLST and PLCO data: Extended Incidence and Mortality |
Ping Hu |
NCI |
NLST |
Apr 23, 2020 |
NLST-666 |
| Comparing NLST/PLCO versus Yunnan Tin Miners study with chest X-ray screening: Extended Incidence and Mortality |
Ping Hu |
NCI |
NLST |
Apr 23, 2020 |
NLST-665 |
| Computer-aided Detection System for Lung Nodules in Low-dose CT Scans |
Rong-Tai Chen |
TaiHao Medical Inc. |
NLST |
Apr 21, 2020 |
NLST-662 |
| Rank Tests for Time-to-Event Data Following Propensity Score Matching with Replacement |
Zhiyue Huang |
Beigene |
NLST |
Apr 16, 2020 |
NLST-657 |
| Explainable Artificial Intelligence Model for Lung Cancer Detection |
Dr. Chern Hong Lim |
Monash University Malaysia Sdn Bhd [ Co. Reg. No. : 199801002475 (458601-U)] |
NLST |
Apr 9, 2020 |
NLST-656 |
| Automated assessment of multiple diagnoses and findings in NLST |
Joshua Reicher |
imvaria inc. |
NLST |
Apr 8, 2020 |
NLST-655 |
| COVID-19 AI Screening Model Pretraining Using NLST Data - Is CT a clinically meaningful COVID screening tool? |
Shadab Khan |
Group 42 |
NLST |
Apr 6, 2020 |
NLST-654 |
| CT-based COVID-19 Diagnostic Tool |
David Wiley |
Stratovan Corporation |
NLST |
Apr 2, 2020 |
NLST-653 |
| Accurate detection of COVID-19 patterns from CT lung scans by deep learning |
Piotr Slomka |
Cedars-Sinai Medical Center |
NLST |
Mar 23, 2020 |
NLST-651 |
| Diagnosing COVID-19 from deep learning trained on CT scans |
Jean-Remi King |
CNRS |
NLST |
Mar 17, 2020 |
NLST-650 |
| Lung tumor early detection and prognosis with machine learning approach |
Tengfei Li |
University of North Carolina at Chapel Hill |
NLST |
Mar 16, 2020 |
NLST-649 |
| Development of DCNN-based solution for lung cancer detection based on CT images. |
Noé Samaille |
IBM |
NLST |
Mar 16, 2020 |
NLST-648 |
| Autoencoder for CT images and automatic clustering of patients |
michael roberts |
Astrazeneca |
NLST |
Mar 10, 2020 |
NLST-647 |
| Similar Patient Search for Cancer Patients |
Elham Taghizadeh |
Fraunhofer MEVIS: Institute for Digital Medicine |
NLST |
Mar 10, 2020 |
NLST-645 |
| Lung Cancer Detection and Classification Using Deep Learning |
Daniel Korat |
Interdisciplinary Center Herzliya |
NLST |
Mar 3, 2020 |
NLST-643 |
