| 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 |
| Assessing the interrelationship between different breast cancer diagnostic parameters and their overall effects on patient survival using machine learning tools |
Balint Balint |
University of Debrecen |
PLCO |
Sep 20, 2019 |
PLCO-524 |
| Predicting lung cancer recurrence with machine learning |
Flavio Calmon |
Harvard University |
PLCO |
Sep 20, 2019 |
PLCOI-522 |
| A longitudinal investigation of immunologic and obesity-related biomarkers in multiple myeloma development and progression |
Jonathan Hofmann |
NCI |
PLCO |
Sep 20, 2019 |
2018-1019 |
| A Deep Learning Model for Improved Cancer Risk Prediction in Lung Screening Low-Dose Chest Computed Tomography |
Florian Fintelmann |
Massachusetts General Hospital |
NLST |
Sep 12, 2019 |
NLST-564 |
| Lung Cancer diagnosis from radiology imaging |
Babu Arunachalam |
Xen.ai |
NLST |
Sep 11, 2019 |
NLST-568 |
| Predicting lung cancer recurrence with machine learning |
Flavio Calmon |
Harvard University |
NLST |
Sep 10, 2019 |
NLST-567 |
| Cost-effectiveness of low dose CT scan screening for lung cancer in New Zealand |
Peter Sandiford |
Waitemata District Health Board |
NLST |
Sep 9, 2019 |
NLST-566 |
| Predicting Progression of Lung Lesions on CT scans |
Sendhil Mullainathan |
University of Chicago |
NLST |
Sep 6, 2019 |
NLST-560 |
| Integrative analysis to predict lung cancer patient outcome using NLST dataset |
Guanghua Xiao |
UT Southwestern Medical Center |
NLST |
Sep 5, 2019 |
NLST-562 |
| PRE-THERAPY LUNG CANCER PROGNOSTIC PREDICTION IN IMAGES |
Stelmo Magalhaes Barros Neto |
Universidade Federal do Maranhão |
NLST |
Sep 5, 2019 |
NLST-558 |
| Statistical analysis of time-to-event data with noncompliance in randomized clinical trials |
Shuwei Li |
Emory University |
PLCO |
Aug 29, 2019 |
PLCO-518 |
| Ethnic differences in colorectal cancer incidence: the role of lifestyle risk factors |
Ivana Kulhanova |
Faculty of Science, Charles University |
PLCO |
Aug 29, 2019 |
PLCO-507 |
| Towards Precision Prevention: Applying advanced data analytic and machine learning techniques to improve ovarian cancer screening. |
Jason Wright |
Columbia University |
PLCO |
Aug 23, 2019 |
PLCO-515 |
