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Two-Stage Deep Learning Model for Automated Segmentation and Classification of Splenomegaly.
- Published in:
- Cancers, 2022, v. 14, n. 22, p. 5476, doi. 10.3390/cancers14225476
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- Article
Evaluation of a Deep Learning Algorithm for Automated Spleen Segmentation in Patients with Conditions Directly or Indirectly Affecting the Spleen.
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- Tomography: A Journal for Imaging Research, 2021, v. 7, n. 4, p. 950, doi. 10.3390/tomography7040078
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- Article
Personalised simulation of hemodynamics in cerebrovascular disease: lessons learned from a study of diagnostic accuracy.
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- Frontiers in Neurology, 2023, p. 01, doi. 10.3389/fneur.2023.1230402
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- Article
Image-to-image generative adversarial networks for synthesizing perfusion parameter maps from DSC-MR images in cerebrovascular disease.
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- Frontiers in Neurology, 2023, v. 13, p. 1, doi. 10.3389/fneur.2022.1051397
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- Article
A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease.
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- Frontiers in Neuroscience, 2019, p. N.PAG, doi. 10.3389/fnins.2019.00097
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- Article