| 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 |
| Intelligent personable treatment recommendation |
Xiaoshui Huang |
The University of Sydney |
NLST |
Oct 10, 2019 |
NLST-584 |
| 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 |
| Image feature extraction with deep learning for mortality risk stratification on low-dose lung computed tomography |
Chang-Fu Kuo |
Center for Artificial Intelligence in Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan |
NLST |
Sep 26, 2019 |
NLST-572 |
| A Computer Tool for Aiding in Accurate Assessment of Indeterminate Lung Nodules |
Xin Meng |
International Informatics Solution Laboratory LLC |
NLST |
Sep 26, 2019 |
NLST-571 |
| 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 |
| 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 |
| 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 |
| 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 |
| Using Machine learning to find gender differences in the bone morphology of the first rib |
Andreas Prescher |
MOCA, Institute of Molecular and Cellular Anatomy, RWTH Aachen University |
NLST |
Aug 22, 2019 |
NLST-554 |
| Automated lung diseases analysis using deep learning techniques |
Peter M.A. van Ooijen |
University Medical Center Groningen |
NLST |
Aug 13, 2019 |
NLST-552 |