| Bias-correction of relative risks by robustly incorporating validation studies that include multiple methods of physical activity assessment and related biomarkers |
Xin Zhou |
Yale University |
IDATA |
Oct 15, 2019 |
IDATA-32 |
| Quantitative analysis of tissue morphology and biomarkers with convolutional neural networks for improve prognostics of prostate cancer |
Geert Litjens |
Radboud University Medical Center |
PLCO |
Oct 11, 2019 |
PLCOI-540 |
| Intelligent personable treatment recommendation |
Xiaoshui Huang |
The University of Sydney |
NLST |
Oct 10, 2019 |
NLST-584 |
| Evaluation of Patients Data using AI techniques and It's Application in Pancreatic Cancer Differential Diagnosis |
Wanessa Sena |
Federal Institute of Pernambuco |
PLCO |
Oct 10, 2019 |
PLCO-539 |
| Link-based survival additive models with mixed types of censoring. |
Giampiero Marra |
University College London |
PLCO |
Oct 8, 2019 |
PLCO-538 |
| Exploration of deep learning-based model's lung cancer screening capabilities. |
Manwoo Lee |
Samsung Electronics |
PLCO |
Oct 8, 2019 |
PLCOI-537 |
| “Development of a probabilistic network for clinical pathways based on patient cohort characteristics, outcome-indicators and clinical workflow analysis to create artificial patients with prostatic adenocarcinoma” |
Andrea Riedel |
Institute for general practitioners |
PLCO |
Oct 8, 2019 |
PLCO-535 |
| Lung cancer imaging biomarker development on computed tomography using artificial intelligence |
Julia Publicover |
University Health Network |
NLST |
Oct 8, 2019 |
NLST-575 |
| A Comparative Analysis of Lung Cancer Treatment in a Local and National Sample with Lung Cancer |
Lee Ann Johnson |
East Carolina University |
NLST |
Oct 4, 2019 |
NLST-581 |
| Development and validation of a computer-aided diagnosis system for lung cancer screening |
CHANG MO NAM |
monitor corporation |
NLST |
Oct 3, 2019 |
NLST-580 |
| Exploration of deep learning-based model's lung cancer screening capabilities. |
Seungwook Yang |
Samsung Electronics |
NLST |
Oct 3, 2019 |
NLST-579 |
| Tobacco smoking is associated with increased tumor grade and stage and grade along with the mucinous carcinoma histopathologic type. |
Rodger Rothenberger |
University of Cincinnati |
PLCO |
Oct 3, 2019 |
PLCO-534 |
| A Comparison Between Multi Classification Algorithms on PLCO Colorectal Cancer Dataset |
Bawer Berwary |
Van Yuzuncu Yil University |
PLCO |
Oct 3, 2019 |
PLCO-533 |
| Use of deep learning to predict response of treatment for late stage lung cancer patients. |
Monika Mehta |
SGInnovate - Entrepreneur First |
PLCO |
Oct 3, 2019 |
PLCOI-531 |
| Serum Testosterone and Subsequent Risk of Urologic and Non-Urologic Cancer |
Joshua Halpern |
Northwestern University Feinberg School of Medicine |
PLCO |
Sep 26, 2019 |
PLCO-528 |
| Image feature extraction with deep learning for mortality risk stratification on low-dose lung computed tomography |
Chang-Fu Kuo |
Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan |
NLST |
Sep 26, 2019 |
NLST-572 |
| A Computer Tool for Aiding in Accurate Assessment of Indeterminate Lung Nodules |
Xin Meng |
International Informatics Solution Laboratory LLC |
NLST |
Sep 26, 2019 |
NLST-571 |
| Development of a machine-learning algorithm for generating realistic synthetic electronic healthcare records |
Andreas Maier |
FAU Erlangen Nürnberg |
PLCO |
Sep 26, 2019 |
PLCO-529 |
| Pan-cancer analyses of imaging-clinical phenotype associations |
Kun-Hsing Yu |
Harvard Medical School |
PLCO |
Sep 20, 2019 |
PLCOI-523 |
| Data mining study on clinical and imaging data for assessing cancer risk and estimating outcome |
Shandong Wu |
University of Pittsburgh, Department of Radiology |
PLCO |
Sep 20, 2019 |
PLCOI-519 |
