| Machine Learning with Low Dose CT Data |
Bennett Landman |
Vanderbilt University |
NLST |
Dec 8, 2022 |
NLST-993 |
| Development of anti-lung cancer screening system based on target recognition and natural language |
Yuan Dan |
Wuhan University of Science and Technology |
NLST |
Dec 6, 2022 |
NLST-991 |
| Whole slide images based cancer survival prediction using multiple instance learning with graph neural networks |
Weijia Zhang |
Southeast University |
NLST |
Dec 5, 2022 |
NLST-988 |
| Using delta radiomic features to construct a model for predicting growth and prognosis of persistent pulmonary subsolid nodules. |
Linyu Wu |
The First Affiliated Hospital of Zhejiang Chinese Medical University |
NLST |
Nov 30, 2022 |
NLST-987 |
| What does the National Lung Cancer Screening Trial imply for the effectiveness of computerized tomography screening in the US population? |
Issa Dahabreh |
Harvard University |
NLST |
Nov 2, 2022 |
NLST-983 |
| Association between Changes among Multiple Rounds Chest X-ray and Lung Cancer Risk in Two Screening Trials |
Ya Liu |
Tianjin Medical University Cancer Institute and Hospital |
NLST |
Nov 1, 2022 |
NLST-982 |
| Deep learning for indirect and direct cardiovascular risk estimation from ungated chest CT |
Piotr Slomka |
Cedars-Sinai |
NLST |
Nov 1, 2022 |
NLST-981 |
| Development of CAD for lung nodule screening |
Naïm Jalal |
GE HEALTHCARE |
NLST |
Oct 27, 2022 |
NLST-977 |
| Survival analysis based on pathological images of lung cancer patients |
xiaofei xia |
Anhui University |
NLST |
Oct 19, 2022 |
NLST-976 |
| Time Lag to Benefit: A Systematic Review and Meta-Analysis of Lung Cancer Screening Trials |
Alison Rustagi |
University of California, San Francisco |
NLST |
Oct 18, 2022 |
NLST-972 |
| Machine Learning Analysis for Lung Cancer Progression |
Anderson Nnewihe |
Johnson & Johnson Enterprise Innovation, Inc. |
NLST |
Oct 18, 2022 |
NLST-973 |
| Early diagnosis of lung cancer based on imbalance class data |
Xiaowen Yang |
Chongqing University of Posts and Telecommunications |
NLST |
Oct 18, 2022 |
NLST-967 |
| Lung Nodule Malignancy Classification Based On Time-Series Model |
Chaoran Jia |
Dalian University of Technology |
NLST |
Oct 18, 2022 |
NLST-969 |
| Comparative analysis of the cost-effectiveness and implementation of lung cancer screening with LDCT in the US and EU |
Tanya Rajabi |
Semmelweis University |
NLST |
Oct 11, 2022 |
NLST-968 |
| Lung cancer risk assessment |
Adam Vasserstrom |
Nucleix |
NLST |
Oct 11, 2022 |
NLST-965 |
| Study on the Evolution and Diagnostic Model of Early Stage Lung Cancer |
Ning Xiao |
Shanxi University of Finance and Economics |
NLST |
Sep 29, 2022 |
NLST-964 |
| Lung cancer risk prediction model based on demographic data and diagnostic data |
Shijie Sun |
Chongqing University of Posts and Telecommunications |
NLST |
Sep 28, 2022 |
NLST-963 |
| Synthetic generation and tagging of CT and pathology images |
Jonathan Pearson |
NHS Commissioning Board (NHS England) |
NLST |
Sep 28, 2022 |
NLST-961 |
| AI based lung nodule detection and measurement tool for CT imaging of the chest |
Mohammed Amro |
Synthesis Health Intelligence Inc. |
NLST |
Sep 28, 2022 |
NLST-960 |
| Leveraging Machine Learning to Optimize Donor Recipient Size Matching in Heart Transplantation |
Veli Topkara |
Columbia University Medical Center |
NLST |
Sep 20, 2022 |
NLST-959 |
