3 Works

Data from: Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning

Lohendran Baskaran, Subhi J. Al’Aref, Gabriel Maliakal, Benjamin C. Lee, Zhuoran Xu, Jeong W. Choi, Sang-Eun Lee, Ji Min Sung, Fay Y. Lin, Simon Dunham, Bobak Mosadegh, Yong-Jin Kim, Ilan Gottlieb, Byoung Kwon Lee, Eun Ju Chun, Filippo Cademartiri, Erica Maffei, Hugo Marques, Sanghoon Shin, Jung Hyun Choi, Kavitha Chinnaiyan, Martin Hadamitzky, Edoardo Conte, Daniele Andreini, Gianluca Pontone … & Leslee J. Shaw
Objectives: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. Background: Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images. Methods: Images from a multicenter registry of patients that underwent clinically-indicated CCTA were used. The proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC, IVC), pulmonary artery (PA),...

Data from: Metabolomics - Emory Cardiovascular Biobank

Anurag Mehta, Chang Liu, Karan Uppal & Arshed Quyyumi
Untargeted high-resolution plasma metabolomic profiling among patients with coronary artery disease. Patients recruited from the Emory Cardiovascular Biobank into independent discovery and validation cohorts.

Data from: Association of serum neurofilament light (sNfL) and disease severity in patients with spinocerebellar ataxia type 3

Yun Peng, Youming Zhang, Zhao Chen, Huirong Peng, Na Wan, Jennifer Zhang, Jingyi Tang, Puzhi Wang, Yue Xie, Qiyong Cai, Shaohui Liu, Xuewei Zhang, Chunrong Wang, Hongyu Yuan, Tianjiao Li, Linlin Wan, Yuting Shi, Rong Qiu, Thomas Klockgether, Beisha Tang, Weihua Liao & Hong Jiang
Objective: To investigate serum neurofilament light protein (sNfL) levels in patients with spinocerebellar ataxia type 3 (SCA3) and to determine whether they are associated with disease severity. Methods: This cross-sectional study enrolled 185 healthy controls and 235 ATXN3 mutation carriers (17 asymptomatic stage, 20 preclinical stage, and 198 ataxic stage). We measured sNfL levels with the single molecule array (Simoa) platform. Clinical disease severity was assessed using the scale of assessment and rating of ataxia...

Registration Year

  • 2020
    3

Resource Types

  • Dataset
    3

Affiliations

  • Emory University School of Medicine
    3
  • Centro Cardiologico Monzino
    1
  • Seoul National University Bundang Hospital
    1
  • Central South University
    1
  • Yonsei University
    1
  • Los Angeles Biomedical Research Institute
    1
  • Pusan National University Hospital
    1
  • Cedars-Sinai Medical Center
    1
  • Weill Cornell Medicine
    1
  • William Beaumont Hospital
    1