| detecting, marking and classifying lung cancer in CT-Scans with deep learning algorithms |
Qasim Mohammad |
Independent |
NLST |
Dec 1, 2017 |
NLST-378 |
| Automatic Lung Lesion Detection and Segmentation in CT |
Lin Yang |
University of Florida |
NLST |
Nov 29, 2017 |
NLST-377 |
| Detection/Segmentation of lung cancer and more with deep learning |
Andy Song |
Medipixel |
NLST |
Nov 17, 2017 |
NLST-376 |
| Computer-aided diagnosis system for lung-related pathology |
Aurélio Campilho |
INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência |
NLST |
Nov 15, 2017 |
NLST-375 |
| Lung cancer investigation based on deep learning; detection, diagnosis and prognosis prediction |
Chin A Yi |
Sungkyunkwan University School of Medicine |
NLST |
Nov 14, 2017 |
NLST-366 |
| Using Artificial Intelligence for the automatic interpretation of chest CT images |
Hugo Aerts |
Dana-Farber Cancer Institute, Inc. |
NLST |
Nov 14, 2017 |
NLST-374 |
| New image features for automatically discrimination of patients with/without lung cancer |
Consuelo Gonzalo Martin |
UNIVERSIDAD POLITECNICA DE MADRID |
NLST |
Nov 14, 2017 |
NLST-373 |
| Computer Tomography (CT) Scan image classification using Artificial Intelligence |
Manish Chaturvedi |
Pandit Deendayal Petroleum University |
NLST |
Nov 9, 2017 |
NLST-372 |
| Unsupervised Deep Learning Approach to Characterize the Normal-Appearing Tissue in Lung CT images |
Kayhan Batmanghelich |
University of Pittsburgh |
NLST |
Nov 7, 2017 |
NLST-363 |
| Early detection of lung cancer with deep learning and graph databases |
Rafael Berlanga |
Universitat Jaume I |
NLST |
Nov 6, 2017 |
NLST-370 |
| Deep Learning on Lung CT |
Elliot Smith |
Maxwell MRI |
NLST |
Oct 27, 2017 |
NLST-365 |
| Association between race and follow-up diagnostic care after a positive lung cancer screening test in the National Lung Cancer Screening Trial |
Joanna Sesti |
Robert Wood Johnson Barnabas Health |
NLST |
Oct 26, 2017 |
NLST-369 |
| Early diagnosis of lung cancer applying deep neural networks using computerized tomography images |
Jonathan Domínguez |
CIDESI |
NLST |
Oct 25, 2017 |
NLST-368 |
| Deep learning and other automated techniques for predicting incident cardiovascular death and cancer from lung cancer screening CT |
Michael Lu |
The General Hospital Corporation d/b/a Massachusetts General Hospital |
NLST |
Oct 25, 2017 |
NLST-367 |
| Life years gained by screening in the NLST |
Hormuzd Katki |
National Cancer Institute |
NLST |
Oct 23, 2017 |
NLST-364 |
| Nodule identification and classification in Lung screening |
Estanislao OUBEL |
Median Technologies |
NLST |
Oct 18, 2017 |
NLST-362 |
| Assessing Racial Disparities of Lung Cancer Risk Prediction Model |
Hee-Soon Juon |
Thomas Jefferson University |
NLST |
Oct 16, 2017 |
NLST-361 |
| Racial disparities in outcomes in patients undergoing screening and treatment for Lung Cancer |
Gurudatta Naik |
University of Alabama at Birmingham |
NLST |
Oct 13, 2017 |
NLST-360 |
| A simulation modeling study examining the downstream effects of follow-up schedules for screen-detected nodules |
Chung Yin (Joey) Kong |
Massachusetts General Hospital / Harvard Medical School |
NLST |
Sep 28, 2017 |
NLST-357 |
| Deep Learning for Lung Cancer Detection |
Ryan Sherman |
Deep Analytics |
NLST |
Sep 27, 2017 |
NLST-341 |
