| Bayesian probabilistic techniques for cancer growth prediction/ prognosis based on informative features containing significant medical details within the historical CT scans |
Haroon Rasheed |
Bahria University,Karachi - 75620 Pakistan |
NLST |
Jun 8, 2017 |
NLST-307 |
| High Performance Computing Enabled Deep Learning for Lung Cancer Classification |
Derek Ni |
F. Hoffmann-La Roche AG |
NLST |
Jun 8, 2017 |
NLST-312 |
| Predicting medical outcomes using deep learning with CT chest images |
Lyle Palmer |
University of Adelaide |
NLST |
Jun 8, 2017 |
NLST-311 |
| REPRODUCIBILITY OF PHYSICAL ACTIVITY MEASURES IN ADULTS AND IMPLICATIONS FOR EPIDEMIOLOGICAL STUDIES |
Pedro Saint-Maurice |
NCI |
IDATA |
Jun 7, 2017 |
IDATA-12 |
| Towards Precision Prevention: Testing a Machine Learning Algorithm in Pancreatic Cancer |
Shannon Lynch |
Fox Chase Cancer Center |
PLCO |
May 30, 2017 |
PLCO-277 |
| Deep Learning for Pathology Detection in Chest X-Rays |
Ivo Matteo Baltruschat |
University Medical Center Hamburg-Eppendorf |
PLCO |
May 24, 2017 |
PLCO-275 |
| Association of Coffee Drinking with Leukocyte Telomere Length |
Erikka Loftfield |
Yale School of Public Health |
PLCO |
May 24, 2017 |
PLCO-271 |
| A metabolomic analysis of multiple myeloma development and progression |
Jonathan Hofmann |
National Cancer Institute |
PLCO |
May 23, 2017 |
2016-0009 |
| Evaluating comorbidities and life expectancy in patients undergoing LDCT screening in the real world setting |
Jonathan Iaccarino |
Boston University Medical Campus |
NLST |
May 19, 2017 |
NLST-309 |
| Deep Learning for Pathology Image Analysis |
Lily Peng |
Google |
PLCO |
May 16, 2017 |
PLCO-257 |
| Computer Vision AI to Diagnose Lung Cancer from CT Images |
Peter Szoldan |
MedInnoScan Kft. |
NLST |
May 12, 2017 |
NLST-306 |
| AI-Assisted CT Image Analysis for Accurate Lung Cancer Screening and Early Detection |
Yizhou Yu |
The University of Hong Kong |
NLST |
May 11, 2017 |
NLST-305 |
| Machine Learning Methods for Nodule Detection and Classification |
Xiaohui Xie |
University of California, Irvine |
NLST |
May 11, 2017 |
NLST-304 |
| Outcomes associated with significant incidental findings in lung cancer screening |
Ilana Gareen |
Brown University |
NLST |
May 10, 2017 |
NLST-308 |
| Effect of Dietary Omega-3 fatty acids and GPR120 Single Nucleotide Polymorphisms on Prostate Cancer Chemoprevention |
William Aronson |
University of California Los Angeles |
PLCO |
May 8, 2017 |
PLCO-274 |
| Lung cancer diagnosis by using deep learning |
Qinming He |
College of Computer Science and Technology, Zhejiang University |
NLST |
May 4, 2017 |
NLST-298 |
| Primary treatment assignment, time-to-treatment, and prostate cancer outcomes in PLCO |
Dudith Pierre-Victor |
National Cancer Institute |
PLCO |
May 3, 2017 |
PLCO-273 |
| Automatic Detection and Classification System for Lung Lesion |
Takashi Shirahata |
Hitachi, Ltd. |
NLST |
Apr 27, 2017 |
NLST-302 |
| Using Deep Learning for Cancer Nodule Detection |
Ashish Gupta |
Auburn University |
NLST |
Apr 25, 2017 |
NLST-300 |
| Defining the role of lipids and metabolic factors as risk factor for prostate cancer and prostate cancer aggressiveness. A PhD project |
Adel Aref |
The University of Adelaide Freemasons Foundation Centre for Men’s Health South Australian Health and Medical Research Institute |
PLCO |
Apr 20, 2017 |
PLCO-272 |
