Masked smoothing using separable kernels for CT perfusion images. - David S. Wack; Kenneth V. Snyder; Kevin Seals; Adnan Siddiqui (BMC Medical Imaging, 2014)

Initial testing of a 3D printed perfusion phantom using digital subtraction angiography. - Rachel P. Wood; Parag Khobragade; Leslie Ying; Kenneth V. Snyder; David S. Wack; Daniel R. Bednarek; Stephen Rudin; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Angiographic analysis for phantom simulations of endovascular aneurysm treatments with a new fully retrievable asymmetric flow diverter. - Aradhana Yoganand; Rachel P. Wood; Carlos Jimenez 001; Adnan Siddiqui; Kenneth V. Snyder; Swetadri Vasan Setlur Nagesh; Daniel R. Bednarek; Stephen Rudin; Robert E. Baier; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

Computer-assisted adjuncts for aneurysmal morphologic assessment: toward more precise and accurate approaches. - Hamidreza Rajabzadeh-Oghaz; Nicole Varble; Jason M. Davies; Ashkan Mowla; Hakeem J. Shakir; Ashish Sonig; Hussain Shallwani; Kenneth V. Snyder; Elad I. Levy; Adnan H. Siddiqui; Hui Meng (Computer-Aided Diagnosis, 2017)

Design and Development of Surgeon Augmented Endovascular Robotic System. - Naveen Kumar Sankaran; Pramod Chembrammel; Adnan Siddiqui; Kenneth V. Snyder; Thenkurussi Kesavadas (IEEE Trans. Biomed. Eng., 2018)

Initial assessment of neuro pressure gradients in carotid stenosis using 3D printed patient-specific phantoms. - Lauren M. Shepard; Adnan H. Siddiqui; Kenneth V. Snyder; Elad I. Levy; Jason M. Davies; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Feasibility study of deep neural networks to classify intracranial aneurysms using angiographic parametric imaging. - 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 (Computer-Aided Diagnosis, 2019)

Co-registration of infarct core location with angiography during mechanical thrombectomy procedures for treatment progression monitoring. - 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 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Quantification of flow through intracranial arteriovenous malformations using Angiographic Parametric Imaging (API). - Kyle A. Williams; Mohammad Mahdi Shiraz Bhurwani; Kenneth V. Snyder; Elad I. Levy; Jason M. Davies; Adnan H. Siddiqui; Ciprian N. Ionita (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2020)

Predicting treatment outcome of intracranial aneurysms using angiographic parametric imaging and recurrent neural networks. - 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 (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)

Clot organization on histology is associated with radiomics features that predict treatment outcomes from mechanical thrombectomy. - Tatsat R. Patel; Mohammad Waqas; Sarah Fricano; Adam A. Dmytriw; John Tomaszewski 001; Elad I. Levy; Kenneth V. Snyder; Jason M. Davies; Adnan H. Siddiqui; Vincent M. Tutino (Digital Pathology, 2021)

Use of a convolutional neural network to identify infarct core using computed tomography perfusion parameters. - Ryan A. Rava; Alexander R. Podgorsak; Mohammad Waqas; Kenneth V. Snyder; Elad I. Levy; Jason M. Davies; Adnan H. Siddiqui; Ciprian N. Ionita (Image Processing, 2021)

Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning. - 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 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2022)

Predicting hematoma expansion after spontaneous intracranial hemorrhage through a radiomics based model. - 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 (Computer-Aided Diagnosis, 2022)