| Interpretable Graph Convolutional Networks with CPC features for Whole Slide Histology Classification |
Faisal Mahmood |
Brigham and Women's Hospital |
NLST |
Oct 29, 2019 |
NLST-592 |
| Machine Learning to select patients benefiting from prostate cancer screening |
Jean-Emmanuel Bibault |
Laboratory of Artificial Intelligence in Medicine and Biomedical Physics, Stanford University |
PLCO |
Oct 24, 2019 |
PLCO-541 |
| Predicting Cancer diagnosis based on preliminary screenings |
Jonathan Mendoza |
Independent |
PLCO |
Oct 24, 2019 |
PLCO-532 |
| Exascale Deep Learning for Predictive Modeling of Lung Cancer |
Greeshma Agasthya |
Oak Ridge National Laboratory |
NLST |
Oct 18, 2019 |
NLST-586 |
| Lung cancer imaging biomarker development on computed tomography using artificial intelligence |
Shazia Akbar |
Altis Labs |
NLST |
Oct 15, 2019 |
NLST-588 |
| Application and evaluation of Deep Learning to Predict tumors in medical images annotated using crowdsourcing |
Aakanksha Sanctis |
Maastricht University,Intitute of Data Science |
NLST |
Oct 15, 2019 |
NLST-587 |
| Bias-correction of relative risks by robustly incorporating validation studies that include multiple methods of physical activity assessment and related biomarkers |
Xin Zhou |
Yale University |
IDATA |
Oct 15, 2019 |
IDATA-32 |
| Quantitative analysis of tissue morphology and biomarkers with convolutional neural networks for improve prognostics of prostate cancer |
Geert Litjens |
Radboud University Medical Center |
PLCO |
Oct 11, 2019 |
PLCOI-540 |
| Intelligent personable treatment recommendation |
Xiaoshui Huang |
The University of Sydney |
NLST |
Oct 10, 2019 |
NLST-584 |
| Evaluation of Patients Data using AI techniques and It's Application in Pancreatic Cancer Differential Diagnosis |
Wanessa Sena |
Federal Institute of Pernambuco |
PLCO |
Oct 10, 2019 |
PLCO-539 |
| Link-based survival additive models with mixed types of censoring. |
Giampiero Marra |
University College London |
PLCO |
Oct 8, 2019 |
PLCO-538 |
| Exploration of deep learning-based model's lung cancer screening capabilities. |
Manwoo Lee |
Samsung Electronics |
PLCO |
Oct 8, 2019 |
PLCOI-537 |
| “Development of a probabilistic network for clinical pathways based on patient cohort characteristics, outcome-indicators and clinical workflow analysis to create artificial patients with prostatic adenocarcinoma” |
Andrea Riedel |
Institute for general practitioners |
PLCO |
Oct 8, 2019 |
PLCO-535 |
| Lung cancer imaging biomarker development on computed tomography using artificial intelligence |
Julia Publicover |
University Health Network |
NLST |
Oct 8, 2019 |
NLST-575 |
| A Comparative Analysis of Lung Cancer Treatment in a Local and National Sample with Lung Cancer |
Lee Ann Johnson |
East Carolina University |
NLST |
Oct 4, 2019 |
NLST-581 |
| Development and validation of a computer-aided diagnosis system for lung cancer screening |
CHANG MO NAM |
monitor corporation |
NLST |
Oct 3, 2019 |
NLST-580 |
| Exploration of deep learning-based model's lung cancer screening capabilities. |
Seungwook Yang |
Samsung Electronics |
NLST |
Oct 3, 2019 |
NLST-579 |
| Tobacco smoking is associated with increased tumor grade and stage and grade along with the mucinous carcinoma histopathologic type. |
Rodger Rothenberger |
University of Cincinnati |
PLCO |
Oct 3, 2019 |
PLCO-534 |
| A Comparison Between Multi Classification Algorithms on PLCO Colorectal Cancer Dataset |
Bawer Berwary |
Van Yuzuncu Yil University |
PLCO |
Oct 3, 2019 |
PLCO-533 |
| 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 |
