Found: 10
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To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems.
- Published in:
- PLoS Digital Health, 2022, v. 1, n. 2, p. 1, doi. 10.1371/journal.pdig.0000016
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- Article
A PET-Guided Framework Supports a Multiple Arterial Input Functions Approach in DSC-MRI in Acute Stroke.
- Published in:
- 2017
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- Publication type:
- journal article
A novel approach for assessing hypoperfusion in stroke using spatial independent component analysis of resting‐state fMRI.
- Published in:
- Human Brain Mapping, 2021, v. 42, n. 16, p. 5204, doi. 10.1002/hbm.25610
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- Article
Diagnostic and prognostic benefit of arterial spin labeling in subacute stroke.
- Published in:
- Brain & Behavior, 2019, v. 9, n. 5, p. N.PAG, doi. 10.1002/brb3.1271
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- Article
A precision medicine framework for personalized simulation of hemodynamics in cerebrovascular disease.
- Published in:
- 2021
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- Publication type:
- journal article
Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study.
- Published in:
- 2021
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- Publication type:
- journal article
Opening the black box of artificial intelligence for clinical decision support: A study predicting stroke outcome.
- Published in:
- PLoS ONE, 2020, v. 15, n. 4, p. 1, doi. 10.1371/journal.pone.0231166
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- Article
Anatomical labeling of intracranial arteries with deep learning in patients with cerebrovascular disease.
- Published in:
- Frontiers in Neurology, 2022, v. 13, p. 1, doi. 10.3389/fneur.2022.1000914
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- Publication type:
- Article
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease.
- Published in:
- Frontiers in Neuroscience, 2019, p. N.PAG, doi. 10.3389/fnins.2019.00097
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- Publication type:
- Article
Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores.
- Published in:
- Neurosurgical Review, 2021, v. 44, n. 5, p. 2837, doi. 10.1007/s10143-020-01453-6
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- Publication type:
- Article