Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography

Tran, A. T., Desser, D., Zeevi, T., Abou Karam, G., Zietz, J., Dell’Orco, A., Chen, M.-C., Malhotra, A., Qureshi, A. I., Murthy, S. B., Majidi, S., Falcone, G. J., Sheth, K. N., Nawabi, J., & Payabvash, S. (2024). Optimizing Automated Hematoma Expansion Classification from Baseline and Follow-Up Head Computed Tomography. Applied Sciences, 15(1), 111. https://doi.org/10.3390/app15010111
Authors:
Tran Anh Tuan
Dmitriy Desser
Tal Zeevi
Gaby Abou Karam
Julia Zietz
Andrea Dell’Orco
M. Keith Chen
Ajay Malhotra
Adnan I. Qureshi
Santosh B. Murthy
Shahram Majidi
Guido J. Falcone
Kevin N. Sheth
Jawed Nawabi
Seyedmehdi Payabvash
Affiliated Authors:
Seyedmehdi Payabvash
Columbia Affiliation:
Subjects:
Management and Pathophysiology of Intracerebral Hemorrhage (OpenAlex Topic)
Epidemiology and Management of Stroke (OpenAlex Topic)
Management of Vascular Malformations in the Brain (OpenAlex Topic)
Author Keywords:
classification
convolution neural network
ground truth generation
hematoma expansion
high sensitivity model
intracerebral hemorrhage
segmentation
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Publication Type:
Article
Unique ID:
10.3390/app15010111
DOI:
10.3390/app15010111
Journal:
Applied Sciences
Publication Date:
Data Source:
OpenAlex
Source Link:
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