Explainable Artificial Intelligence Model for Lung Cancer Detection |
Dr. Chern Hong Lim |
Monash University Malaysia Sdn Bhd [ Co. Reg. No. : 199801002475 (458601-U)] |
NLST |
Apr 9, 2020 |
NLST-656 |
Automated assessment of multiple diagnoses and findings in NLST |
Joshua Reicher |
imvaria inc. |
NLST |
Apr 8, 2020 |
NLST-655 |
COVID-19 AI Screening Model Pretraining Using NLST Data - Is CT a clinically meaningful COVID screening tool? |
Shadab Khan |
Group 42 |
NLST |
Apr 6, 2020 |
NLST-654 |
CT-based COVID-19 Diagnostic Tool |
David Wiley |
Stratovan Corporation |
NLST |
Apr 2, 2020 |
NLST-653 |
Accurate detection of COVID-19 patterns from CT lung scans by deep learning |
Piotr Slomka |
Cedars-Sinai Medical Center |
NLST |
Mar 23, 2020 |
NLST-651 |
Diagnosing COVID-19 from deep learning trained on CT scans |
Jean-Remi King |
CNRS |
NLST |
Mar 17, 2020 |
NLST-650 |
Lung tumor early detection and prognosis with machine learning approach |
Tengfei Li |
University of North Carolina at Chapel Hill |
NLST |
Mar 16, 2020 |
NLST-649 |
Development of DCNN-based solution for lung cancer detection based on CT images. |
NoƩ Samaille |
IBM |
NLST |
Mar 16, 2020 |
NLST-648 |
Autoencoder for CT images and automatic clustering of patients |
michael roberts |
Astrazeneca |
NLST |
Mar 10, 2020 |
NLST-647 |
Similar Patient Search for Cancer Patients |
Elham Taghizadeh |
Fraunhofer MEVIS: Institute for Digital Medicine |
NLST |
Mar 10, 2020 |
NLST-645 |
Lung Cancer Detection and Classification Using Deep Learning |
Daniel Korat |
Interdisciplinary Center Herzliya |
NLST |
Mar 3, 2020 |
NLST-643 |
Lung cancer prognosis in CNUH |
Vi Vo Thi Tuong |
Chonnam National University |
NLST |
Feb 24, 2020 |
NLST-640 |
Development and Investigation of Class Imbalanced Data Methods for Lung Cancer Incidence Prediction Using Clinical and Radiomics Data |
Matloob Khushi |
The University of Sydney |
NLST |
Feb 24, 2020 |
NLST-641 |
Imaging Biomarkers for Lung Cancer Screening |
Hengyong Yu |
University of Massachusetts Lowell |
NLST |
Feb 19, 2020 |
NLST-639 |
Evaluation of Thoracic Aortic Aneurysm Mortality with Low-Dose Computed Tomographic Screening. |
A Claire Watkins |
Stanford University |
NLST |
Feb 19, 2020 |
NLST-638 |
Improve Lung Cancer Prediction by Training Multi-task Self-supervised Pre-training on Large Unlabeled Data |
Yi Chen |
ASUS AICS |
NLST |
Feb 19, 2020 |
NLST-637 |
A new mathematical model for the computation of optimal cancer surveillance schedules |
Johannes Reiter |
Stanford University |
NLST |
Feb 7, 2020 |
NLST-636 |
Developing a prognostic prediction model using Delta Radiomic Features and Clinical Information for Lung Cancer Detection |
XIAOFENG WANG |
Cleveland Clinic |
NLST |
Jan 30, 2020 |
NLST-634 |
Comparison of National Lung Cancer Resection Outcomes to Screening Trial Outcomes |
Tyler Grenda |
Sidney Kimmel Medical College, Thomas Jefferson University |
NLST |
Jan 27, 2020 |
NLST-633 |
Lung cancer detection using Deep Convolutional Neural Network |
Deepa P L |
Mar Baselios College of Engineering and Technology |
NLST |
Jan 27, 2020 |
NLST-632 |