Ryan A. Rava

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 9

Top Topics

Machine Learning

Intracranial Aneurysms

Clinical Workflow

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Medical Imaging: Image Processing

Publications

Samantha E. Seymour, Ryan A. Rava, Dennis Swetz, Andre Montiero, Ammad Baig, Kurt Schultz, Kenneth V. Snyder, Mohammad Waqas, Jason M. Davies, Elad I. Levy, Adnan H. Siddiqui, Ciprian N. Ionita
Predicting hematoma expansion after spontaneous intracranial hemorrhage through a radiomics based model. Medical Imaging: Computer-Aided Diagnosis (2022)
Dennis Swetz, Samantha E. Seymour, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, Andre Monteiro, Ammad A. Baig, Mohammad Waqas, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita
Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Ryan A. Rava, Alexander R. Podgorsak, Mohammad Waqas, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita
Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters. Medical Imaging: Image Processing (2021)
Mohammad Mahdi Shiraz Bhurwani, Kenneth V. Snyder, Mohammad Waqas, Maxim Mokin, Ryan A. Rava, Alexander R. Podgorsak, Kelsey N. Sommer, Jason M. Davies, Elad I. Levy, Adnan H. Siddiqui, Ciprian N. Ionita
Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy. Medical Imaging: Computer-Aided Diagnosis (2021)
Alexander R. Podgorsak, Mohammad Mahdi Shiraz Bhurwani, Ryan A. Rava, Jason M. Davies, Ciprian N. Ionita
Optimization of DSA image data input to a machine learning aneurysm identifier. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Nicholas J. Pham, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, Alexander R. Podgorsak, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita
Co-registration of infarct core location with angiography during mechanical thrombectomy procedures for treatment progression monitoring. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Mohammad Mahdi Shiraz Bhurwani, Mohammad Waqas, Kyle A. Williams, Ryan A. Rava, Alexander R. Podgorsak, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita
Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks. Medical Imaging: Computer-Aided Diagnosis (2020)
Alexander R. Podgorsak, Mohammad Mahdi Bhurwani, Ryan A. Rava, Anusha Ramesh Chandra, Ciprian N. Ionita
Use of a convolutional neural network for aneurysm identification in digital subtraction angiography. Medical Imaging: Computer-Aided Diagnosis (2019)
Mohammad Mahdi Shiraz Bhurwani, Alexander R. Podgorsak, Anusha Ramesh Chandra, Ryan A. Rava, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita
Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging. Medical Imaging: Computer-Aided Diagnosis (2019)