Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation-Reference-Cited by-同舟云学术

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Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation

Published:2023-04-24 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International IEEE/EMBS Conference on Neural Engineering (NER)
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Author:

Johnson Erik C.¹,Matelsky Jordan K.¹,Cooke Christa¹,Christie Breanne¹,Jones Khalid²,Ledbetter Harley²,Wang Siqi²,Forrest Gail³,Torgerson Nathan⁴,Angeli Claudia A.²,Harkema Susan J.²,Tenore Francesco V.¹

Affiliation:

1. Johns Hopkins University,Applied Physics Laboratory,Research and Exploratory Development Department,Laurel,MD,USA

2. University of Louisville,Kentucky Spinal Cord Research Center,Department of Neurological Surgery,KY,USA

3. Kessler Medical Rehabilitation Research and Education Corporation,West Orange,New Jersey

4. Medtronic Inc.,Minneapolis,MN

Funder

University of Louisville

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10123380/10123710/10123805.pdf?arnumber=10123805

Reference14 articles.

1. 3D U-Net: learning dense volumetric segmentation from sparse anno-tation;cicek;International Conference on Medical Image Computing and Computer-Assisted Intervention,2016

2. Automated segmentation of vertebral cortex with 3D U-Net-based deep convolutional neural network

3. A substrate for modular, extensible data-visualization

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