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Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients.

A. Podgorsak, K. Sommer, V. Iyer, M. Wilson, F. Rybicki, D. Mitsouras, U. Sharma, K. Kumamaru, E. Angel, and C. Ionita. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)

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Mark R Alexander

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X-ray image guidance workflow development for in-vivo aneurysm treatment using a new retrievable asymmetric flow diverter (RAFD).C. Ionita, A. Venkataraman, A. Podgorsak, K. Sommer, L. Shepard, and A. Siddiqui. Medical Imaging: Image-Guided Procedures, volume 10576 of SPIE Proceedings, page 105760R. SPIE, (2018)Rapid cone-beam computed tomography (CBCT) using an ultra-high frame rate imaging photon counting detector (PCD) with 100 μm resolution.A. Shankar, J. Krebs, A. Podgorsak, C. Ionita, D. Bednarek, and S. Rudin. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10953 of SPIE Proceedings, page 1095302. SPIE, (2019)Image processing using Convolutional Neural Network (CNN) for Region of Interest (ROI) fluoroscopy.S. Nagesh, A. Podgorsak, J. Krebs, D. Bednarek, and S. Rudin. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 11317 of SPIE Proceedings, page 1131718. SPIE, (2020)Use of a convolutional neural network for aneurysm identification in digital subtraction angiography.A. Podgorsak, M. Bhurwani, R. Rava, A. Chandra, and C. Ionita. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109504E. SPIE, (2019)Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients.A. Podgorsak, K. Sommer, V. Iyer, M. Wilson, F. Rybicki, D. Mitsouras, U. Sharma, K. Kumamaru, E. Angel, and C. Ionita. Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging.M. Bhurwani, A. Podgorsak, A. Chandra, R. Rava, K. Snyder, E. Levy, J. Davies, A. Siddiqui, and C. Ionita. Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109502A. SPIE, (2019)Investigation of signal thresholding to reduce the effects of instrument noise of an EMCCD based micro-CT system.A. Podgorsak, S. Krishnakumar, S. Nagesh, D. Bednarek, S. Rudin, and C. Ionita. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 978803. SPIE, (2016)Use of material decomposition in the context of neurovascular intervention using standard flat panel and a high-resolution CMOS detector.A. Podgorsak, A. Venkataraman, S. Nagesh, D. Bednarek, S. Rudin, A. Siddiqui, and C. Ionita. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105780L. SPIE, (2018)Micro-CT analysis of trabecular parameters gradients in femurs of mice affected by chronic kidney disease.D. Shin, A. Podgorsak, K. Seldeen, L. Chaves, S. Thomas, A. Honan, S. Abyad, B. Troen, R. Yacoub, and C. Ionita. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10578 of SPIE Proceedings, page 105781M. SPIE, (2018)Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters.R. Rava, A. Podgorsak, M. Waqas, K. Snyder, E. Levy, J. Davies, A. Siddiqui, and C. Ionita. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)