| Using Artificial Intelligence for the automatic interpretation of chest CT images |
Hugo Aerts |
Dana-Farber Cancer Institute, Inc. |
NLST |
Nov 14, 2017 |
NLST-374 |
| Using Big Data for Computer-Aided Diagnosis of Chest CTs |
Ronald Summers |
National Institutes of Health Clinical Center |
NLST |
Jun 30, 2017 |
NLST-319 |
| Using Big Data for Computer-Aided Diagnosis of Chest X-Rays |
Ronald Summers |
National Institutes of Health Clinical Center |
PLCO |
Jun 9, 2017 |
PLCO-279 |
| Using circulating metabolomes to understand pancreatic cancer genotype and phenotype and to explore their potential for risk assessment and early detection |
Herbert Yu |
University of Hawaii Cancer Center |
PLCO |
Jun 14, 2021 |
2021-0013 |
| Using clinicopathological data to determine risk of metachronous advanced colorectal neoplasia among patients with adenomas |
Laura Hester |
Janssen Research and Development, LLC |
PLCO |
Nov 17, 2020 |
PLCO-688 |
| Using Contrastive Masked Video Autoencoders to detect lung cancer in high-risk individuals with low-dose CT scans |
Bryan Jiang |
STEM ADEMIA LLC |
NLST |
Jan 9, 2024 |
NLST-1183 |
| Using decision support technologies to enhance individual decision-making to forgo or undergo screening for prostate cancer |
Andrew Stephenson |
Cleveland Clinic |
PLCO |
Feb 27, 2014 |
PLCO-66 |
| Using deep learning approach to identify lung cancer and pulmonary tuberculosis |
Yuan Wang |
Washington State University |
NLST |
Sep 4, 2018 |
NLST-439 |
| Using Deep Learning for Cancer Nodule Detection |
Ashish Gupta |
Auburn University |
NLST |
Apr 25, 2017 |
NLST-300 |
| Using deep learning to enhance cancer diagnosis and classification |
Wang Qin |
AccuRad |
NLST |
Jul 30, 2015 |
NLST-145 |
| 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 |
| Using Explainability Methods to Unpack Disease Predictions for Individual-level Inference: An Empirical Study of the Lung Cancer Prediction Problem |
Gorkem Turgut Ozer |
University of New Hampshire |
PLCO |
Apr 12, 2024 |
PLCO-1530 |
| Using foundation model for cardiovascular disease detection. |
Xiaofeng Yang |
Emory University |
NLST |
May 16, 2024 |
NLST-1249 |
| Using generative adversarial network for data augmentation to improve classification of lung cancer |
Shuting Huang |
Guangdong University of Technology |
NLST |
Mar 22, 2022 |
NLST-892 |
| 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 |
| Using generative adversarial neural network to diagnose benign pulmonary nodules in lung cancer screening trial |
Guangming Lu |
Department of Medical Imaging, Jinling Hospital |
NLST |
Aug 22, 2018 |
NLST-435 |
| Using Hierarchy label classification to Chest X-ray images |
Gregory Hager |
Johns Hopkins University |
PLCO |
Jul 20, 2018 |
PLCO-384 |
| Using Low-Dose Lung Computed Tomography to Predict the Risk of Lung Cancer |
Gigin Lin |
Chang Gung Memorial Hospital |
NLST |
Mar 8, 2021 |
NLST-764 |
| Using Machine Learning algorithms to predict breast cancer in women, using Electronic Health Record information. |
Maya Carswell |
University Of Liverpool |
PLCO |
Jun 22, 2022 |
PLCO-994 |
| Using Machine Learning and Artificial Intelligence to Distinguish Between Malignant and Benign Lung Cancer Tumors in a CT Scan |
Santhosh Subramanian |
NCI Radiation Oncology |
NLST |
Aug 3, 2015 |
NLST-149 |
