| Minibatch Gradient Descent Method for Deep Survival Analysis |
James Sharpnack |
University of California-Davis |
NLST |
Nov 7, 2019 |
NLST-597 |
| Extended Cancer Prediction from Lung CT Images |
Atilla Kiraly |
Google |
NLST |
Nov 1, 2019 |
NLST-594 |
| Individual lung cancer survival estimation based on radiomics analysis |
Yujiao Wu |
University of Technology Sydney |
NLST |
Oct 31, 2019 |
NLST-596 |
| use active learning to do the tumor segmentation. |
Sijie Wang |
the university of Tokyo |
NLST |
Oct 31, 2019 |
NLST-595 |
| 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 |
| 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 |
| 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 |
