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Conference and Workshop Papers
- 2022
[c9]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022- [c8]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. Computer-Aided Diagnosis 2022 - 2021
- [c7]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. Computer-Aided Diagnosis 2021 - [c6]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. Image Processing 2021 - 2020
- [c5]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170E - [c4]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171Y - [c3]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. Computer-Aided Diagnosis 2020 - 2019
- [c2]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. Computer-Aided Diagnosis 2019: 109502A - [c1]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. Computer-Aided Diagnosis 2019: 109504E
Coauthor Index
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