| 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 |
| CNN-Driven Quasiconformal Model for Large Deformation Image Registration |
Lok Ming Lui |
The Chinese University of Hong Kong |
NLST |
Sep 12, 2019 |
NLST-569 |
| 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 |
| Research on pathological image processing of lung cancer based on deep learning |
Fang Tian |
Department of Computer Technology and Applications, Qinghai University |
NLST |
Sep 6, 2019 |
NLST-563 |
| 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 |
| Developing algorithms for the computer-aided detection and diagnosis of lung cancer |
Jun Zhao |
School of Biomedical Engineering, Shanghai Jiao Tong University |
NLST |
Aug 26, 2019 |
NLST-557 |
| 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 |
| Genome-wide association study (GWAS) for second primary lung cancer (SPLC) in PLCO |
Summer Han |
Stanford University |
PLCO |
Aug 23, 2019 |
PLCO-511 |
| Individualized treatment decisions for prostate cancer using prostate cancer specific and other-cause mortality predictors |
Matthew Schipper |
University of Michigan |
PLCO |
Aug 23, 2019 |
PLCO-512 |
| Whole grains and dietary fiber and the risk of pancreatic cancer in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial |
Guo-Chao Zhong |
The Second Affiliated Hospital of Chongqing Medical University |
PLCO |
Aug 23, 2019 |
PLCO-510 |
| Daily stair climbing and risk of mortality: a pooled analysis |
Kaitlyn Mazzilli |
National Cancer Institute |
PLCO |
Aug 23, 2019 |
PLCO-508 |
| Computational Prediction of Ovarian Cancer Treatment Outcome by Machine Learning |
Matloob Khushi |
The University of Sydney |
PLCO |
Aug 23, 2019 |
PLCO-509 |
| Using the NLST database to develop a lung cancer malignancy prediction tool from CT and WSI data |
Thomas Langø |
SINTEF |
NLST |
Aug 22, 2019 |
NLST-553 |
| Generalizing prediction of lung cancer from the NLST cohort using deep learning |
Jon Steingrimsson |
Brown University |
NLST |
Aug 22, 2019 |
NLST-556 |
