| Deep learning based assessment of vascular aging to improve prognostication in patients at risk for lung cancer |
Jakob Weiss |
University Hospital Freiburg |
NLST |
Jul 15, 2021 |
NLST-816 |
| Early detection of lung cancer by excavating the bit planes of a LDCT scan |
Swapan Chakrabarti |
Immersion 3D Plus, LLC. |
NLST |
Jul 15, 2021 |
NLST-815 |
| Modeling lung cancer risk with Gradient-Boosted Decision-Trees |
Jean-Emmanuel Bibault |
INSERM UMR 1138 Team 22: Information Sciences to support Personalized Medicine, Cordeliers Research Centre, Paris Descartes University, Paris, France |
NLST |
Jul 15, 2021 |
NLST-814 |
| Deep Learning systems for detection of nodules and for simulation of new nodule training data. |
Keelin Murphy |
Radboud University Medical Center |
NLST |
Jul 2, 2021 |
NLST-812 |
| Development and validation of prognostic models of lung cancer |
Thomas Callender |
University College London |
NLST |
Jun 21, 2021 |
NLST-806 |
| Evaluation of a deep-learning algorithm to assist in the detection of features suggestive of lung cancer on chest x-rays. |
Gaetan Dissez |
behold.ai |
NLST |
Jun 14, 2021 |
NLST-799 |
| Development of diagnostic support software to aid clinical decision-making for lung disease |
Michael Calhoun |
Precision Medical Ventures, Inc. |
NLST |
Jun 14, 2021 |
NLST-800 |
| Self-Supervised Multimodal Medical Image Analysis |
Cristian Simionescu |
Alexandru Ioan Cuza University |
NLST |
May 21, 2021 |
NLST-796 |
| Identifying histological features of lung cancer using deep learning |
Jennifer Beane |
Trustees of Boston University |
NLST |
May 11, 2021 |
NLST-794 |
| Validation of pre-trained deep learning algorithms on NLST data. |
Ammar Jagirdar |
Qure.ai |
NLST |
May 7, 2021 |
NLST-793 |
| Optimizing lung cancer treatments from public clinical trial data |
Shimon Sheiba |
Causalis.ai |
NLST |
Apr 22, 2021 |
NLST-729 |
| Image Synthesis for Data Augmentation in Medical CT using Deep Learning |
Klaus Mueller |
Stony Brook University |
NLST |
Apr 21, 2021 |
NLST-787 |
| Multimodal Data Fusion of Radiomic, Pathomic, and Semantic Features to Classify Pulmonary Nodules |
William Hsu |
David Geffen School of Medicine at UCLA |
NLST |
Apr 19, 2021 |
NLST-785 |
| Clinical Research Education application of the NLST data |
Kenneth Christopher |
Harvard Medical School |
NLST |
Apr 12, 2021 |
NLST-781 |
| Distribution of NLST imaging and limited clinical data through NCI public image repositories |
Keyvan Farahani |
National Cancer Institute |
NLST |
Apr 12, 2021 |
NLST-780 |
| Investigation of alternative screening trial endpoints |
Phil Prorok |
NCI |
NLST |
Apr 5, 2021 |
NLST-779 |
| Understanding the Robustness and Explainability of Machine Learning Algorithms Applied to Computed Tomography Volumes |
Michal Kucer |
Triad National Security, LLC |
NLST |
Mar 30, 2021 |
NLST-778 |
| Multimodal patient predictions |
Javier Alvarez Valle |
Microsoft |
NLST |
Mar 30, 2021 |
NLST-776 |
| Identification and Quantification of Cardiac Calcium and cardiovascular Risk Stratification |
Ashish Gautam |
KardioLabs LLC |
NLST |
Mar 30, 2021 |
NLST-774 |
| Machine Learning for Lung Nodule Detection and Diagnosis Classification |
Mehmet Kaya |
Florida Institute of Technology |
NLST |
Mar 30, 2021 |
NLST-777 |
