| Machine Learning to identify airway disease |
Amir Sharafkhaneh |
Baylor College of Medicine |
NLST |
Jun 13, 2022 |
NLST-921 |
| Machine-learning-based recurrence prediction in lung cancer |
Pawel Badura |
Silesian University of Technology |
NLST |
May 23, 2022 |
NLST-916 |
| Evaluation of malignant risk of pulmonary nodules using deep learning |
Chang Liu |
Wuhan University, School of Computer Science |
NLST |
May 23, 2022 |
NLST-914 |
| Detection of Chronic Obstructive pulmonary Disease from chest CT images using weakly supervised deep learning approach |
Mengfan Xue |
Hangzhou Dianzi University |
NLST |
Apr 25, 2022 |
NLST-912 |
| Applying deep learning image segmentation to improve coronary artery calcium scoring for cardiovascular outcome prediction |
Sanjay Aneja |
Yale School of Medicine |
NLST |
Apr 25, 2022 |
NLST-911 |
| Cancer Types Comparison and Analysis of them (statistical) |
Nikos Letsios |
Mediterranean College (Collaboration with University of Derby) |
NLST |
Apr 8, 2022 |
NLST-907 |
| Calibration of a microsimulation model of lung cancer natural history in Australia |
Marianne Weber |
Cancer Council New South Wales |
NLST |
Apr 4, 2022 |
NLST-906 |
| Development of Deep Learning algortihms for the automated Calcium Scoring identification from radiological studies |
Fernando Martin |
WellSpan Health |
NLST |
Apr 4, 2022 |
NLST-905 |
| Lung Nodule Detection |
Asma Alkhaldi |
Saudi Data and Artificial Intelligence Authority (SDAIA) |
NLST |
Mar 30, 2022 |
NLST-896 |
| X-ray Dissectography Improves Lung Nodule Detection |
Chuang Niu |
Rensselaer Polytechnic Institute |
NLST |
Mar 30, 2022 |
NLST-900 |
| Validation of a survival prediction model in participants with lung cancer |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
Mar 24, 2022 |
NLST-899 |
| Emphysema quantification using lung cancer screening CT scans: diagnostic and prognostic value |
Hyungjin Kim |
Seoul National University Hospital |
NLST |
Mar 24, 2022 |
NLST-898 |
| Dynamic evolution and subtype qualitative analysis of early lung nodule from longitudinal CT images based on deep model |
Changmiao Wang |
Shenzhen Research Institute of Big Data |
NLST |
Mar 22, 2022 |
NLST-897 |
| Deep based cancer/nodule detection project |
WenJia Song |
University of Queensland |
NLST |
Mar 22, 2022 |
NLST-894 |
| Using generative adversarial network for data augmentation to improve classification of lung cancer |
Shuting Huang |
Guangdong University of Technology |
NLST |
Mar 22, 2022 |
NLST-892 |
| Identification of actionable lung nodules with low-dose computed tomography screening: Characterizing the effects on observer performance of a personalized Artificial Intelligence feedback |
Jessica Sieren |
University of Iowa |
NLST |
Mar 21, 2022 |
NLST-895 |
| Apply new statistical methods to assess screening efficacy in NLST trial addressing overdiagnosis |
ying huang |
Fred Hutchinson Cancer Research Center |
NLST |
Mar 7, 2022 |
NLST-891 |
| Thyroid carcinoma relation with ovaries using Machine Learning Techniques |
Geetanjali Rave |
Ramaiah Institute of Technology |
NLST |
Mar 2, 2022 |
NLST-890 |
| Application for accessing NLST pathology images to validate the proposed prognostic modeling method |
Road Zhang |
Southwest Petroleum University |
NLST |
Feb 16, 2022 |
NLST-887 |
| Validating the performance of Deep Neural Network models for lung nodule detection |
Naglis Ramanauskas |
Oxipit, UAB |
NLST |
Feb 16, 2022 |
NLST-886 |
