| Lung Nodule Detection using Deep Learning |
Vismantas Dilys |
Canon Medical Research |
NLST |
Jan 25, 2018 |
NLST-388 |
| Development of a sensitive and specific blood test for colon cancer by measuring base-specific hydroxymethylcytosine (5hmC) and 5-methylcytosine (5mC) in circulating cell-free DNA |
Marc Bissonnette |
University of Chicago |
PLCO |
Jan 24, 2018 |
2016-0057 |
| Genome-wide scan of everyone possible for Etiologic, Prevention, and Clinical Outcome Research |
Neal Freedman |
NCI |
PLCO |
Jan 23, 2018 |
2017-9000 |
| Revising free text inputs in physical activity self-report methods: Lessons from the ACT24 |
Robert Korycinski |
National Cancer Institute |
IDATA |
Jan 19, 2018 |
IDATA-20 |
| Male pattern baldness: is there an association with bladder cancer? |
Badrinath Konety |
University of Minnesota |
PLCO |
Jan 18, 2018 |
PLCO-340 |
| Statistical evaluation of diagnostic test under verification bias |
Khanh To Duc |
Department of Statistical Sciences, University of Padova, Padova, Italy |
PLCO |
Jan 18, 2018 |
PLCO-337 |
| Risk analysis of prostate cancer occurrence based on PLCO data |
Lukasz Markiewicz |
Independent |
PLCO |
Jan 17, 2018 |
PLCO-332 |
| Is the regular intake of tea (+/-added sugar) and broccoli (+/- other cruciferous vegetables) linked to the incidence of Prostate and breast Cancer? - An analysis of the PLCO cancer screening trial dataset |
Robert Thomas |
Bedford and Addenbrookes Cambridge University NHS Hospitals |
PLCO |
Jan 11, 2018 |
PLCO-335 |
| Comprehensive Lung Cancer Assessment via Deep Learning |
Qian Li |
VoxelCloud, inc. |
NLST |
Jan 10, 2018 |
NLST-386 |
| Automated Detection of Lung Cancer From LDCT |
Warren Clarida |
IDx LLC |
NLST |
Jan 8, 2018 |
NLST-385 |
| A Comparison of Binary Classifiers Performance on Predicting Breast Cancer Diagnoses |
Vanessa Gutierrez |
Fordham University |
PLCO |
Jan 4, 2018 |
PLCO-336 |
| Lung cancer prediction using artficial neural networks |
Saudagar Barde |
Smt kashibai navle college of engineering |
PLCO |
Jan 3, 2018 |
PLCO-334 |
| Deep Learning at Chest Radiography and CT: Automated Detection and Diagnosis of Cancers. |
Daiju Ueda |
Department of Radiology and Interventional Radiology, Graduate School of Medicine, Osaka City University |
NLST |
Jan 2, 2018 |
NLST-384 |
| Machine learning to predict risk from chest radiographs and clinical factors |
Michael Lu |
The General Hospital Corporation d/b/a Massachusetts General Hospital |
NLST |
Dec 29, 2017 |
NLST-383 |
| Influence of accelerometer calibration approach on MVPA estimates for adults |
charles matthews |
NCI / DCEG / Metabolic Epidemiology Branch |
IDATA |
Dec 28, 2017 |
IDATA-19 |
| Impact of Lung Cancer Screening on Lung Cancer Mortality in COPD Patients |
Juan Wisnivesky |
Icahn School of Medicine at Mount Sinai |
NLST |
Dec 26, 2017 |
NLST-380 |
| Computerized Heart and Lung Disease Detection in Low-dose CT Images |
Pingkun Yan |
Rensselaer Polytechnic Institute |
NLST |
Dec 19, 2017 |
NLST-382 |
| Machine learning to predict risk from chest radiographs and clinical factors |
Michael Lu |
The General Hospital Corporation d/b/a Massachusetts General Hospital |
PLCO |
Dec 19, 2017 |
PLCO-331 |
| Incidence lung cancers after negative screening rounds: A retrospective review of CT findings and outcomes |
Jihang Kim |
Seoul National University Bundang Hospital |
NLST |
Dec 11, 2017 |
NLST-379 |
| detecting, marking and classifying lung cancer in CT-Scans with deep learning algorithms |
Qasim Mohammad |
Independent |
NLST |
Dec 1, 2017 |
NLST-378 |
