| Graph Convolutional Networks for Cancer Diagnosis, Prognosis and Therapeutic Response Prediction |
Faisal Mahmood |
Brigham and Women's Hospital |
PLCO |
Dec 18, 2019 |
PLCOI-562 |
| Integrative analysis to predict lung nodule classification |
Zhe Li |
Singlera Genomics Inc. |
NLST |
Dec 16, 2019 |
NLST-621 |
| Instrumental variable methods in survival outcome |
Youjin Lee |
University of Pennsylvania |
PLCO |
Dec 16, 2019 |
PLCO-561 |
| Blood metabolomics, smoking and lung cancer risk |
Wei Jie Seow |
National University of Singapore |
PLCO |
Dec 16, 2019 |
PLCO-558 |
| Lung Cancer Screening - A non-invasive methodology for early diagnosis |
Hélder Oliveira |
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science |
NLST |
Dec 13, 2019 |
NLST-615 |
| Training Lung Cancer Classifiers with Ultra-high Resolution Whole Slide Histopathology Images. |
Sean Yu |
aetherAI |
NLST |
Dec 13, 2019 |
NLST-620 |
| Automated Assessment of Interstitial Lung Abnormalities |
Shikha Chaganti |
Siemens Healthineers |
NLST |
Dec 13, 2019 |
NLST-616 |
| Predicting Lung Cancer Treatment Using an End to End 3D Serial Imaging CNN Model |
Amy Li |
Princeton University |
NLST |
Dec 11, 2019 |
NLST-618 |
| Investigation of the dependencies between socio-demographic data and cancer images |
Miklos Arato |
Eötvös Loránd University |
NLST |
Dec 11, 2019 |
NLST-613 |
| Analyses using GWAS data from PLCO to evaluate genetic impact on colorectal screening and outcomes |
Wen-Yi Huang |
National Cancer Institute |
PLCO |
Dec 11, 2019 |
PLCO-560 |
| Classification of Lung Cancer Cells using deep learning algorithms |
Chris Chatwin |
University of Sussex |
NLST |
Dec 6, 2019 |
NLST-614 |
| Selection of Eligible People for Lung Cancer Screening using Electronic Primary Care Data (SELECT) |
Aamir Khakwani |
University of Nottingham |
NLST |
Dec 5, 2019 |
NLST-611 |
| Lung Cancer Identification Through Artificial Neural Network |
Marco Domenico Santambrogio |
Politecnico di Milano |
NLST |
Dec 2, 2019 |
NLST-612 |
| Prediction of Lung cancer and mortality using machine learning and deep learning |
Thu Cao |
Columbia University Medical Center |
NLST |
Nov 26, 2019 |
NLST-609 |
| Integrating Genomics and Metabolomics to Develop Predictive Models of Prostate Cancer in Multiethnic Men |
Burcu Darst |
University of Southern California |
PLCO |
Nov 26, 2019 |
PLCO-555 |
| Associations of Dietary Inflammatory and Insulinemic Potential with Risk of Cancer Development |
Fred Tabung |
The Ohio State University College of Medicine |
PLCO |
Nov 25, 2019 |
PLCO-553 |
| Evaluating the Impact of Preoperative Characteristics on Outcomes of Patients Undergoing Curative-intent Treatment in the NLST |
Chi-Fu Yang |
Stanford |
NLST |
Nov 25, 2019 |
NLST-607 |
| Deep learning models to predict lung cancer malignancy |
Yufeng Deng |
Infervision US Inc. |
NLST |
Nov 25, 2019 |
NLST-604 |
| Association of endogenous estrogens, estrogen metabolites, androgens and androgen metabolites with Ovarian Cancer |
Britton Trabert |
NIH |
PLCO |
Nov 21, 2019 |
2016-0047 |
| Use of Radiomics and AI To Predict Malignancy in Indeterminate Lung Nodules |
Richard Lee |
The Royal Marsden Hospital |
NLST |
Nov 19, 2019 |
NLST-593 |
