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Alexander R. Podgorsak
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2020 – today
- 2021
- [c15]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 - [c14]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
- [c13]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 - [c12]Alexander R. Podgorsak, Mohammad Mahdi Shiraz Bhurwani
Optimization of DSA image data input to a machine learning aneurysm identifier. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171Y - [c11]Swetadri Vasan Setlur Nagesh, Alexander R. Podgorsak, Jordan M. Krebs, Daniel R. Bednarek, Stephen Rudin:
Image processing using Convolutional Neural Network (CNN) for Region of Interest (ROI) fluoroscopy. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 1131718 - [c10]Mohammad Mahdi Shiraz Bhurwani
Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks. Computer-Aided Diagnosis 2020 - [c9]Alexander R. Podgorsak, Kelsey N. Sommer, Vijay Iyer, Michael F. Wilson, Frank J. Rybicki, Dimitrios Mitsouras, Umesh C. Sharma, Kanako K. Kumamaru, Erin Angel, Ciprian N. Ionita:
Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients. Computer-Aided Diagnosis 2020
2010 – 2019
- 2019
- [c8]Alok Shankar, Jordan Krebs, Alexander R. Podgorsak, Ciprian N. Ionita
Rapid cone-beam computed tomography (CBCT) using an ultra-high frame rate imaging photon counting detector (PCD) with 100 μm resolution. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095302 - [c7]Mohammad Mahdi Shiraz Bhurwani
Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging. Computer-Aided Diagnosis 2019: 109502A - [c6]Alexander R. Podgorsak, Mohammad Mahdi Bhurwani
Use of a convolutional neural network for aneurysm identification in digital subtraction angiography. Computer-Aided Diagnosis 2019: 109504E - 2018
- [c5]Alexander R. Podgorsak, Ashwin Venkataraman, Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek, Stephen Rudin, Adnan Siddiqui, Ciprian N. Ionita
Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105780L - [c4]Daniel W. Shin, Alexander R. Podgorsak, Kenneth Seldeen, Lee Chaves, Shruthi Thomas, Amanda Honan, Sham Abyad, Bruce Troen, Rabi Yacoub, Ciprian N. Ionita
Micro-CT analysis of trabecular parameters gradients in femurs of mice affected by chronic kidney disease. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 105781M - [c3]Ciprian N. Ionita
X-ray image guidance workflow development for in-vivo aneurysm treatment using a new retrievable asymmetric flow diverter (RAFD). Image-Guided Procedures 2018: 105760R - 2017
- [c2]Alexander R. Podgorsak, Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita
Implementation of material decomposition using an EMCCD and CMOS-based micro-CT system. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013714 - 2016
- [c1]Alexander R. Podgorsak, Sumukh Bysani Krishnakumar, Swetadri Vasan Setlur Nagesh, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita
Investigation of signal thresholding to reduce the effects of instrument noise of an EMCCD based micro-CT system. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 978803
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