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Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy.

, , , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)

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Initial assessment of neuro pressure gradients in carotid stenosis using 3D printed patient-specific phantoms., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 1095314. SPIE, (2019)Thrombectomy 6 to 24 Hours after Stroke with a Mismatch between Deficit and Infarct, , , , , , , , , and 37 other author(s). N Engl J Med, 378 (1): 11--21 (Nov 11, 2017)Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 101341C. SPIE, (2017)Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy., , , , , , , , , and . Medical Imaging: Digital Pathology, volume 11603 of SPIE Proceedings, SPIE, (2021)Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning., , , , , , , , , and 2 other author(s). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502A. SPIE, (2019)Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters., , , , , , , and . Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy., , , , , , , , , and 1 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks., , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Co-registration of infarct core location with angiography during mechanical thrombectomy procedures for treatment progression monitoring., , , , , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 113170E. SPIE, (2020)