Work

Quantification and Analysis of Large Multimodal Clinical Image Studies: Application to Stroke

Year: 2013

Type: conference-paper

Source: Lecture notes in computer science

DOI: 10.1007/978-3-319-02126-3_3

Authors: Ramesh Sridharan, Adrian V. Dalca, Kaitlin M. Fitzpatrick, Lisa Cloonan, Allison Kanakis, Ona Wu, Karen L. Furie, Jonathan Rosand, Natalia S. Rost, Polina Golland

Institutions: MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Harvard University, Massachusetts General Hospital, Brown University, Rhode Island Hospital

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Institutes of Health, National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Center for Research Resources

Awards: Neuroimaging Analysis Center (NAC), National Alliance for Medical Image Computing (NAMIC), G573982542, Neuroimaging Analysis Center, Genetic variation in white matter hyperintensity and risk of ischemic stroke, The NINDS International Stroke Genetics Consortium Study

OpenAlex ID: W1565379095

FWCI: 1.064

Cites: 33

Cited by: 24

Related to: 10