Ciprian N Ionita

发表

Challenges and limitations of patient-specific vascular phantom fabrication using 3D Polyjet printing

Stephen Rudin, Ciprian N Ionita, Maxim Mokin, 2014, Medical Imaging.

Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios

Yoshimi Anzai, Philipp Brantner, Benjamin Johnson, 2018, 3D Printing in Medicine.

Study of stent deployment mechanics using a high-resolution x-ray imaging detector

Stephen Rudin, Ciprian N Ionita, Daniel R Bednarek, 2011, Medical Imaging.

Assessment of contrast flow modification in aneurysms treated with closed-cell self-deploying asymmetric vascular stents (SAVS)

Stephen Rudin, Ciprian N Ionita, Daniel R Bednarek, 2010, Medical Imaging.

Particle image velocimetry (PIV) evaluation of flow modification in aneurysm phantoms using asymmetric stents

Ciprian N Ionita, S Rudin, Y Hoi, 2004, SPIE Medical Imaging.

Experimental comparison of cone beam CT (CBCT) reconstruction and multiview reconstruction (MVR) for microangiography (MA) detector system

Stephen Rudin, Ravishankar Chityala, Kenneth R Hoffmann, 2006, SPIE Medical Imaging.

Design considerations for a new high resolution Micro-Angiographic Fluoroscope based on a CMOS sensor (MAF-CMOS)

Stephen Rudin, Amit Jain, Ciprian N Ionita, 2013, Medical Imaging.

Effect of injection technique on temporal parametric imaging derived from digital subtraction angiography in patient specific phantoms

Stephen Rudin, Ciprian N Ionita, Daniel R Bednarek, 2014, Medical Imaging.

Flow modification in canine intracranial aneurysm model by an asymmetric stent: studies using digital subtraction angiography (DSA) and image-based computational fluid dynamics (CFD) analyses

Stephen Rudin, Kenneth R Hoffmann, Ciprian N Ionita, 2006, SPIE Medical Imaging.

New head equivalent phantom for task and image performance evaluation representative for neurovascular procedures occurring in the Circle of Willis

Stephen Rudin, Amit Jain, Ciprian N Ionita, 2012, Medical Imaging.

Design optimization for accurate flow simulations in 3D printed vascular phantoms derived from computed tomography angiography

Stephen Rudin, Ciprian N Ionita, Adnan H Siddiqui, 2017, Medical Imaging.

Advanced 3D mesh manipulation in stereolithographic files and post-print processing for the manufacturing of patient-specific vascular flow phantoms

Stephen Rudin, Dimitrios Mitsouras, Ciprian N Ionita, 2016, SPIE Medical Imaging.

Performance of angiographic parametric imaging in locating infarct core in large vessel occlusion acute ischemic stroke patients

Ciprian N Ionita, Maxim Mokin, Kenneth V Snyder, 2020, Journal of medical imaging.

Detector system comparison using relative CNR for specific imaging tasks related to neuro-endovascular image-guided interventions (neuro-EIGIs)

Stephen Rudin, Amit Jain, Ciprian N Ionita, 2014, Medical Imaging.

Initial evaluation of three-dimensionally printed patient-specific coronary phantoms for CT-FFR software validation

Lauren M. Shepard, Dimitrios Mitsouras, Ciprian N Ionita, 2019, Journal of medical imaging.

Angiographic analysis of animal model aneurysms treated with novel polyurethane asymmetric vascular stent (P-AVS): feasibility study

Jason Sherman, Ciprian N Ionita, S Rudin, 2009, Medical Imaging.

3D printed cardiac phantom for procedural planning of a transcatheter native mitral valve replacement

Stephen Rudin, Ciprian N Ionita, Adnan H Siddiqui, 2016, SPIE Medical Imaging.

Evaluation of embolic deflection devices using optical particle tracking

Stephen Rudin, Ciprian N Ionita, Daniel R Bednarek, 2013, Medical Imaging.

CT artifact correction for sparse and truncated projection data using generative adversarial networks.

Ciprian N Ionita, Mohammad Mahdi Shiraz Bhurwani, Alexander R Podgorsak, 2020, Medical physics.

3D printed abdominal aortic aneurysm phantom for image guided surgical planning with a patient specific fenestrated endovascular graft system

Stephen Rudin, Ciprian N Ionita, Adnan H Siddiqui, 2017, Medical Imaging.

Angiographic imaging evaluation of patient-specific bifurcation-aneurysm phantom treatment with pre-shaped, self-expanding, flow-diverting stents: feasibility study

Stephen Rudin, Adnan Siddiqui, Ciprian N Ionita, 2011, Medical Imaging.

Investigation of metrics to assess vascular flow modifications for diverter device designs using hydrodynamics and angiographic studies

Stephen Rudin, Ciprian N Ionita, Daniel R Bednarek, 2012, Medical Imaging.

Use of Patient Specific 3D Printed Neurovascular Phantoms To Simulate Mechanical Thrombectomy

Kenneth Snyder, Ciprian N Ionita, Maxim Mokin, 2021 .

Use of the Microangiographic Fluoroscope for Coiling of Intracranial Aneurysms

Stephen Rudin, Ciprian N Ionita, Adnan H Siddiqui, 2011, Neurosurgery.

Endovascular coil embolization of a very small ruptured aneurysm using a novel microangiographic technique: technical note

Stephen Rudin, Ciprian N Ionita, Adnan H Siddiqui, 2012, Journal of NeuroInterventional Surgery.

The Asymmetric Vascular Stent: Efficacy in a Rabbit Aneurysm Model

Stephen Rudin, Kenneth R Hoffmann, Ciprian N Ionita, 2009, Stroke.

Asymmetric Vascular Stent: Feasibility Study of a New Low-Porosity Patch-Containing Stent

Stephen Rudin, Kenneth R Hoffmann, Ciprian N Ionita, 2008, Stroke.

Primary stentriever versus combined stentriever plus aspiration thrombectomy approaches: in vitro stroke model comparison

Stephen Rudin, Ciprian N Ionita, Maxim Mokin, 2014, Journal of NeuroInterventional Surgery.

Partially polyurethane-covered stent for cerebral aneurysm treatment.

Stephen Rudin, Ciprian N Ionita, Hussain S Rangwala, 2009, Journal of biomedical materials research. Part B, Applied biomaterials.

Three‐dimensional printing of MRI‐visible phantoms and MR image‐guided therapy simulation

Stephan E Maier, Ciprian N Ionita, Peter Liacouras, 2017, Magnetic resonance in medicine.

Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms

Ciprian N Ionita, Adnan H Siddiqui, Mohammad Mahdi Shiraz Bhurwani, 2019, Journal of NeuroInterventional Surgery.