| Comparing accuracy of prevalent Neural Network models for classification of Radiology images |
Keyur Mithawala |
None |
NLST |
Jul 5, 2016 |
NLST-226 |
| Tumor infiltrating lymphocytes in colorectal cancer |
Andrew Chan |
Massachusetts General Hospital and Harvard Medical School |
PLCO |
Jun 16, 2016 |
2016-0012 |
| Lung cancer malignancy prediction tool using chest CT and open-source machine learning |
Padraig Cantillon-Murphy |
University College Cork |
NLST |
Jun 15, 2016 |
NLST-219 |
| Image processing algorithm to screen for lung cancer on radiology images |
Alexandros Karargyris |
IBM |
PLCO |
Jun 15, 2016 |
PLCO-214 |
| Early Detection of Lung Cancer Using Machine Learning: Creating Algorithms to Identify CT Scans of Lung Cancer Nodules |
Michael Blueglass |
Yorktown High School |
NLST |
Jun 14, 2016 |
NLST-225 |
| The association of paraspinous muscle size and density and T12 vertebral bone mineral density and mortality in older adults |
Leon Lenchik |
Wake Forest School of Medicine |
NLST |
Jun 7, 2016 |
NLST-223 |
| Automated Lung Segmentation for Tumor Tracking |
Marwan Sati |
Merge Healthcare an IBM Company |
NLST |
Jun 7, 2016 |
NLST-197 |
| Instrumental variable method |
Jung In Kim |
UNC-CH |
PLCO |
Jun 3, 2016 |
PLCO-213 |
| Repeated measures of metabolomic profiles and pancreatic cancer in PLCO |
Rachael Solomon |
DCEG/NCI |
PLCO |
Jun 2, 2016 |
2016-0003 |
| Validation of serum autoantibody for pancreatic cancer early detection |
Johannes Fahrmann |
MD Anderson Cancer Center |
PLCO |
Jun 2, 2016 |
2016-0018 |
| Role of diet and metabolism in risk of lethal prostate cancer in a PLCO cohort |
Nima Sharifi |
Cleveland Clinic |
PLCO |
Jun 1, 2016 |
2016-0015 |
| A Genome-Wide Scan to Detect Loci Associated with Multiple Primary Cancers |
Sonja Berndt |
National Cancer Institute |
PLCO |
May 31, 2016 |
PLCO-210 |
| A Novel Approach to Facilitate Interoperability between Clinical Decision Support Systems and Electronic Health Records |
Ran Wei |
Rutgers University - New Jersey Medical Shcool |
NLST |
May 26, 2016 |
NLST-222 |
| A Radiomics approach to distinguish benign from malignant nodules on Low Dose CT |
Anant Madabhushi |
Emory University |
NLST |
May 20, 2016 |
NLST-218 |
| Artificial Intelligence to detect and classify tumors |
Daniel Meyer |
Sphera, Inc. |
NLST |
May 12, 2016 |
NLST-215 |
| AI for Lung Nodule Characterization |
Hugo Aerts |
Harvard-DFCI |
NLST |
Apr 26, 2016 |
NLST-208 |
| A genome-wide survival analysis of non-small cell lung cancers |
David Christiani |
Harvard University |
PLCO |
Apr 26, 2016 |
PLCO-208 |
| Developing automated algorithms for detection of lung pathology |
Lily Peng |
Google LLC |
NLST |
Apr 25, 2016 |
NLST-204 |
| Predicting overall survival using CT and pathological image features |
Peng Huang |
Johns Hopkins University |
NLST |
Apr 21, 2016 |
NLST-214 |
| Data mining for NLST |
Rong Chen |
University of Maryland, Baltimore |
NLST |
Apr 19, 2016 |
NLST-211 |
