| 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 |
| Optimizing Lung Cancer Early Detection by LDCT via Computer Vision |
Kingshuk Das |
AnimanDx Inc |
NLST |
Nov 14, 2019 |
NLST-602 |
| Validating automated algorithms for detection of lung pathology |
Atilla Kiraly |
Google |
NLST |
Nov 13, 2019 |
NLST-559 |
| Machine Learning Application of Cancer Data Analysis |
Mochen Li |
Purdue University |
PLCO |
Nov 13, 2019 |
PLCO-552 |
| Computer-Aided Diagnostic System for Lung Nodule Detection, Localization, Attribution, and Classification using Deep Learning |
Devon Bernard |
Hive Medical |
NLST |
Nov 13, 2019 |
NLST-601 |
| Variability of Observer Interpretations and Lung-RADS Assignment |
Devon Bernard |
Hive Medical |
NLST |
Nov 13, 2019 |
NLST-600 |
| Lung cancer CT screening efficacy beyond the NLST screening period |
Anton Schreuder |
Radboudumc |
NLST |
Nov 13, 2019 |
NLST-598 |
| Using Region based Convolutional Neural Networks (RCNNs) and its variants to detect, classify, segment and predict lung cancer signatures from NLST data |
Pratik Shah |
Massachusetts Institute of Technology |
NLST |
Nov 13, 2019 |
NLST-599 |
| Minibatch Gradient Descent Method for Deep Survival Analysis |
James Sharpnack |
University of California-Davis |
NLST |
Nov 7, 2019 |
NLST-597 |
| Integrating AI into workflow |
akio iwase |
NucleusHealth |
PLCO |
Nov 4, 2019 |
PLCOI-542 |
| Exascale Deep Learning for screening based predictive modeling for lung cancer |
Greeshma Agasthya |
Oak Ridge National Laboratory |
PLCO |
Nov 4, 2019 |
PLCOI-544 |
| Incorporating Biomarkers to Improve Lung Cancer Risk Prediction |
Samir Hanash |
University of Texas at MD Anderson |
PLCO |
Nov 4, 2019 |
PLCO-549 |
| Extended Cancer Prediction from Lung CT Images |
Atilla Kiraly |
Google |
NLST |
Nov 1, 2019 |
NLST-594 |
| Individual lung cancer survival estimation based on radiomics analysis |
Yujiao Wu |
University of Technology Sydney |
NLST |
Oct 31, 2019 |
NLST-596 |
| use active learning to do the tumor segmentation. |
Sijie Wang |
the university of Tokyo |
NLST |
Oct 31, 2019 |
NLST-595 |
| Colorectal cancer risk factors, risk prediction and blood-based biomarker by tumor consensus molecular subtype |
Jennifer Davis |
University of Kansas Medical Center |
PLCO |
Oct 29, 2019 |
2018-0009 |
