Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Matthew T. Bigelow"'
Autor:
Thomas F. O'Donnell, Mutlu Demirer, Barbaros S. Erdal, Matthew T. Bigelow, Luciano M. Prevedello, Sema Candemir, Richard D. White, Engin Dikici, Jessica L. Carpenter, Abdul H. Halabi, Vikash Gupta, Mauricio S. Galizia
Publikováno v:
J Digit Imaging
Coronary computed tomography angiography (CCTA) evaluation of chest pain patients in an emergency department (ED) is considered appropriate. While a “negative” CCTA interpretation supports direct patient discharge from an ED, labor-intensive anal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be9776661bb6ee8cd2e1fbdaa7edc506
https://europepmc.org/articles/PMC8329136/
https://europepmc.org/articles/PMC8329136/
Publikováno v:
J Med Imaging (Bellingham)
Purpose: Sharing medical images between institutions, or even inside the same institution, is restricted by various laws and regulations; research projects requiring large datasets may suffer as a result. These limitations might be addressed by an ab
Autor:
Barbaros S. Erdal, Sarah M. Yu, Luciano M. Prevedello, Vikash Gupta, Matthew T. Bigelow, Joseph S. Yu, Richard D. White, Mutlu Demirer
Publikováno v:
ISBI
Acute Proximal Femoral Fractures are a growing health concern among the aging population. These fractures are often associated with significant morbidity and mortality as well as reduced quality of life. Furthermore, with the increasing life expectan
Predicting rate of cognitive decline at baseline using a deep neural network with multidata analysis
Autor:
Alzheimer’s Disease Neuroimaging Initiative, Xuan V. Nguyen, Matthew T. Bigelow, Barbaros S. Erdal, Sema Candemir, Richard D. White, Luciano M. Prevedello
Publikováno v:
J Med Imaging (Bellingham)
Purpose: Our study investigates whether a machine-learning-based system can predict the rate of cognitive decline in mildly cognitively impaired patients by processing only the clinical and imaging data collected at the initial visit. Approach: We bu
Autor:
Richard D. White, Abdul H. Halabi, Sema Candemir, Thomas F. O'Donnell, Mutlu Demirer, Vikash Gupta, Alvin Ihsani, Matthew T. Bigelow, Michael Wels, Andreas Wimmer, Luciano M. Prevedello, Sarah M. Yu, Joseph S. Yu, Barbaros S. Erdal, Rainer Grimmer
Publikováno v:
Radiol Artif Intell
PURPOSE: To delineate image data curation needs and describe a locally designed graphical user interface (GUI) to aid radiologists in image annotation for artificial intelligence (AI) applications in medical imaging. MATERIALS AND METHODS: GUI compon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b819d72bbe1872adbca0ad6e53b45a3
https://europepmc.org/articles/PMC8017380/
https://europepmc.org/articles/PMC8017380/
Autor:
Luciano M. Prevedello, Richard D. White, A. Salvador, Barbaros S. Erdal, Vikash Gupta, Sarah M. Yu, Matthew T. Bigelow, S.S. Lenobel, T. Rink, Mutlu Demirer, Joseph S. Yu
Publikováno v:
Clinical radiology. 75(3)
AIM To investigate the feasibility of applying a deep convolutional neural network (CNN) for detection/localisation of acute proximal femoral fractures (APFFs) on hip radiographs. MATERIALS AND METHODS This study had institutional review board approv
Autor:
Barbaros S. Erdal, Mutlu Demirer, Richard D. White, Luciano M. Prevedello, Matthew T. Bigelow, Wayne Slone, Engin Dikici, John L. Ryu
Brain Metastases (BM) complicate 20–40% of cancer cases. BM lesions can present as punctate (1 mm) foci, requiring high-precision Magnetic Resonance Imaging (MRI) in order to prevent inadequate or delayed BM treatment. However, BM lesion detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::135a25df5678944dc1d5deaa03304f30
http://arxiv.org/abs/1908.04701
http://arxiv.org/abs/1908.04701