Alexander R. Podgorsak

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 15

Top Topics

Coronary Artery Disease

Computed Tomography

Top Venues

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

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image-Guided Procedures

Medical Imaging: Image Processing

Publications

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)
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Alexander R. Podgorsak, Kelsey N. Sommer, Vijay Iyer, Michael F. Wilson, Frank J. Rybicki, Dimitrios Mitsouras, Umesh 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. Medical Imaging: Computer-Aided Diagnosis (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)
A. Shankar, Jordan Krebs, Alexander R. Podgorsak, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin
Rapid cone-beam computed tomography (CBCT) using an ultra-high frame rate imaging photon counting detector (PCD) with 100 μm resolution. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
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)
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Ciprian N. Ionita, Ashwin Venkataraman, Alexander R. Podgorsak, Kelsey N. Sommer, Lauren M. Shepard, Adnan Siddiqui
X-ray image guidance workflow development for in-vivo aneurysm treatment using a new retrievable asymmetric flow diverter (RAFD). Medical Imaging: Image-Guided Procedures (2018)
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2017)
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. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2016)