Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis-Reference-Cited by-同舟云学术

Automated segmentation of chronic stroke lesions using LINDA: Lesion identification with neighborhood data analysis

Author:

Pustina Dorian¹²,Coslett H. Branch¹,Turkeltaub Peter E.³⁴,Tustison Nicholas⁵,Schwartz Myrna F.⁶,Avants Brian²⁷

Affiliation:

1. Department of Neurology; University of Pennsylvania; Philadelphia Pennsylvania

2. Penn Image Computing and Science Lab, Department of Radiology; University of Pennsylvania; Philadelphia Pennsylvania

3. Department of Neurology; Georgetown University; Washington DC

4. Research Division; MedStar National Rehabilitation Hospital; Washington DC

5. Department of Radiology and Medical Imaging; University of Virginia, Virginia

6. Language and Aphasia Lab, Moss Rehabilitation Research Institute; Elkins Park Pennsylvania

7. Department of Radiology; University of Pennsylvania; Philadelphia Pennsylvania

Funder

Vernon Family Trust

NCATS/NIH via the Georgetown-Howard Universities Center for Clinical and Translational Science

Doris Duke Charitable Foundation

Publisher

Wiley

Subject

Clinical Neurology,Neurology,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

Reference71 articles.

4. Avants B 2015 http://stnava.github.io/ANTsR/

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