| Integration of quantitative CT image-based features and clinical factors to develop more accurate nodule-specific lung cancer risk models and classifiers |
Roshni Bhagalia |
General Electric Global Research Center |
NLST |
Jan 13, 2014 |
NLST-48 |
| Integrative analysis to predict lung cancer patient outcome using NLST dataset |
Guanghua Xiao |
UT Southwestern Medical Center |
NLST |
Sep 5, 2019 |
NLST-562 |
| Integrative analysis to predict lung nodule classification |
Zhe Li |
Singlera Genomics Inc. |
NLST |
Dec 16, 2019 |
NLST-621 |
| Integrative large-scale transcriptome-wide association studies for non-small cell lung cancer survival based on PLCO database |
Sipeng Shen |
Nanjing Medical University |
PLCO |
Feb 5, 2021 |
PLCO-731 |
| Intelligent diagnosis system based on artificial intelligence for malignancy grading of lung nodule CT images |
zhe quan |
Zhengzhou University |
NLST |
Apr 13, 2023 |
NLST-1043 |
| Intelligent Lung Cancer Diagnostic Aid System: a RADIOMICS approach applied to histology |
Lucas Lima |
Federal University of Alagoas |
NLST |
Dec 27, 2016 |
NLST-268 |
| Intelligent personable treatment recommendation |
Xiaoshui Huang |
The University of Sydney |
NLST |
Oct 10, 2019 |
NLST-584 |
| Intelligent System based on Artificial Neural Networks to prostate cancer diagnosis |
Carlos Eduardo Ocrospoma Sarasi |
UNMSM |
PLCO |
Dec 2, 2016 |
PLCO-242 |
| Interaction analysis between genetic risk and environmental factors of prostate, bladder and renal cancer |
Sipeng Shen |
Nanjing Medical University |
PLCO |
Mar 2, 2022 |
PLCO-932 |
| Interaction between Race and Micronutrients on Colorectal Cancer Incidence and Mortality |
Fahad Mukhtar |
University of South Florida |
PLCO |
Feb 22, 2018 |
PLCO-343 |
| Interaction of Calcium Intake and Obesity on Pancreatic Cancer in the PLCO Trial |
Margaret Hoyt |
Indiana University |
PLCO |
Oct 4, 2018 |
PLCO-404 |
| Interaction of family history, physical activity and environmental factors in the risk for the development of prostate cancer |
Omar Abdel-Rahman |
Avicenna Oncology Center |
PLCO |
Sep 25, 2018 |
PLCO-398 |
| Interactions, mediating effects, and nonlinear effects of biological markers, genomics and environmental exposures on the occurrence and prognosis of various types of cancers |
Jiahui Lao |
Department of Clinical Epidemiology, Shengjing Hospital of China Medical University |
PLCO |
May 14, 2024 |
PLCO-1550 |
| Interactions of lifestyle factors and polygenic risk score in colorectal neoplasm |
Li Liu |
Huazhong University of Science and Technology |
PLCO |
Mar 9, 2021 |
PLCO-740 |
| Interpretability of machine learning based prediction models for ovarian cancer classification using PLCO dataset |
Khyati Shah |
Liverpool John Moores University, UK |
PLCO |
May 20, 2020 |
PLCO-628 |
| Interpretable AI prediction of prostate tumor staging |
Matthias Weidemüller |
Universität Heidelberg |
PLCO |
Jan 18, 2022 |
PLCO-897 |
| Interpretable AI prediction of prostate tumor staging |
Björn Ommer |
Ludwig Maximilian University of Munich (Machine Vision & Learning Group) |
PLCO |
Apr 25, 2022 |
PLCOI-970 |
| Interpretable Artificial Intelligence to select patients that will benefit from lung cancer screening |
Jean-Emmanuel Bibault |
Stanford University |
PLCO |
Mar 5, 2020 |
PLCO-594 |
| Interpretable Graph Convolutional Networks with CPC features for Whole Slide Histology Classification |
Faisal Mahmood |
Brigham and Women's Hospital |
NLST |
Oct 29, 2019 |
NLST-592 |
| Interpretable machine learning models for lung cancer screening |
Cynthia Rudin |
Duke |
NLST |
Aug 2, 2017 |
NLST-332 |
