Ryan A. Rava

According to our database, Ryan A. Rava authored at least 9 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Predicting hematoma expansion after spontaneous intracranial hemorrhage through a radiomics based model.

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

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning.

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

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters.

Ryan A. Rava, Alexander R. Podgorsak, Mohammad Waqas, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

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

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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020

Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks.

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Optimization of DSA image data input to a machine learning aneurysm identifier.

Alexander R. Podgorsak, Mohammad Mahdi Shiraz Bhurwani, Ryan A. Rava, Jason M. Davies, Ciprian N. Ionita

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Co-registration of infarct core location with angiography during mechanical thrombectomy procedures for treatment progression monitoring.

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

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

2019

Use of a convolutional neural network for aneurysm identification in digital subtraction angiography.

Alexander R. Podgorsak, Mohammad Mahdi Bhurwani, Ryan A. Rava, Anusha Ramesh Chandra, Ciprian N. Ionita

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging.

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

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019