A simulation platform using 3D printed neurovascular phantoms for clinical utility evaluation of new imaging technologies. - Swetadri Vasan Setlur Nagesh; J. Hinaman; Kelsey N. Sommer; Z. Xiong; Ciprian N. Ionita; Daniel R. Bednarek; Stephen Rudin (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

3D printed cardiovascular patient specific phantoms used for clinical validation of a CT-derived FFR diagnostic software. - Kelsey N. Sommer; Lauren M. Shepard; Nitant Vivek Karkhanis; Vijay Iyer; Erin Angel; Michael F. Wilson; Frank J. Rybicki; Dimitrios Mitsouras; Stephen Rudin; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

X-ray image guidance workflow development for in-vivo aneurysm treatment using a new retrievable asymmetric flow diverter (RAFD). - Ciprian N. Ionita; Ashwin Venkataraman; Alexander R. Podgorsak; Kelsey N. Sommer; Lauren M. Shepard; Adnan Siddiqui (Image-Guided Procedures, 2018)

Comparison of benchtop pressure gradient measurements in 3D printed patient specific cardiac phantoms with CT-FFR and computational fluid dynamic simulations. - Kelsey N. Sommer; Lauren M. Shepard; Vijay Iyer; Erin Angel; Michael F. Wilson; Frank J. Rybicki; Dimitrios Mitsouras; Kanako Kunishima Kumamaru; Stephen Rudin; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Study of the effect of boundary conditions on fractional flow reserve using patient specific coronary phantoms. - Kelsey N. Sommer; Lauren M. Shepard; Vijay Iyer; Erin Angel; Michael F. Wilson; Frank J. Rybicki; Dimitrios Mitsouras; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Investigation of the accuracy of classifying coronary artery disease severity using machine learning with subdomain analysis of fractional flow reserve diagnosis in patients. - 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 (Computer-Aided Diagnosis, 2020)

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 (Computer-Aided Diagnosis, 2021)

Recovery of complete time density curves from incomplete angiographic data using recurrent neural networks. - Mohammad Mahdi Shiraz Bhurwani; Kelsey N. Sommer; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Initial investigation of the use of angiographic parametric imaging for early prognosis of delayed cerebral ischemia in patients with subarachnoid hemorrhage. - Roman Price; Mohammad Mahdi Shiraz Bhurwani; Kelsey N. Sommer; Andre Monteiro; Ammad A. Baig; Jason M. Davies; Adnan H. Siddiqui; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Quantitative angiography prognosis of intracranial aneurysm treatment failure using parametric imaging and distal vessel analysis. - Alexander G. Wisniewski; Mohammad Mahdi Shiraz Bhurwani; Kelsey N. Sommer; Andre Monteiro; Ammad A. Baig; Jason M. Davies; Adnan Siddiqui; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)