| Three-dimensional printing to facilitate anatomic study, device development, simulation, and planning in thoracic surgery SN Kurenov, C Ionita, D Sammons, TL Demmy The Journal of Thoracic and Cardiovascular Surgery, 2015 | 296 | 2015 |
| Challenges and limitations of patient-specific vascular phantom fabrication using 3D Polyjet printing CN Ionita, M Mokin, N Varble, DR Bednarek, J Xiang, KV Snyder, ... Proceedings of SPIE--the International Society for Optical Engineering 9038 …, 2014 | 239 | 2014 |
| Radiological Society of North America (RSNA) 3D printing Special Interest Group (SIG): guidelines for medical 3D printing and appropriateness for clinical scenarios L Chepelev, N Wake, J Ryan, W Althobaity, A Gupta, E Arribas, ... 3D printing in medicine 4, 1-38, 2018 | 230 | 2018 |
| COVID-19 and the role of 3D printing in medicine R Tino, R Moore, S Antoline, P Ravi, N Wake, CN Ionita, JM Morris, ... 3D printing in medicine 6, 1-8, 2020 | 223* | 2020 |
| SPIE medical imaging Y Kim, SS Cheng, JP Desai International Society for Optics and Photonics, 94151Q-94151Q, 2015 | 165 | 2015 |
| Self‐calibration of a cone‐beam micro‐CT system V Patel, RN Chityala, KR Hoffmann, CN Ionita, DR Bednarek, S Rudin Medical physics 36 (1), 48-58, 2009 | 110 | 2009 |
| 3D printed abdominal aortic aneurysm phantom for image guided surgical planning with a patient specific fenestrated endovascular graft system KM Meess, RL Izzo, ML Dryjski, RE Curl, LM Harris, M Springer, ... Medical imaging 2017: imaging informatics for healthcare, research, and …, 2017 | 95 | 2017 |
| Primary stentriever versus combined stentriever plus aspiration thrombectomy approaches: in vitro stroke model comparison M Mokin, CN Ionita, SVS Nagesh, S Rudin, EI Levy, AH Siddiqui Journal of neurointerventional surgery 7 (6), 453-457, 2015 | 92 | 2015 |
| Comparison of modern stroke thrombectomy approaches using an in vitro cerebrovascular occlusion model M Mokin, SVS Nagesh, CN Ionita, EI Levy, AH Siddiqui American Journal of Neuroradiology 36 (3), 547-551, 2015 | 82 | 2015 |
| Three‐dimensional printing of MRI‐visible phantoms and MR image‐guided therapy simulation D Mitsouras, TC Lee, P Liacouras, CN Ionita, T Pietilla, SE Maier, ... Magnetic resonance in medicine 77 (2), 613-622, 2017 | 77 | 2017 |
| Treatment planning for image-guided neuro-vascular interventions using patient-specific 3D printed phantoms M Russ, R O'Hara, SVS Nagesh, M Mokin, C Jimenez, A Siddiqui, ... Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and …, 2015 | 77 | 2015 |
| The combination of nano-calcium sulfate/platelet rich plasma gel scaffold with BMP2 gene-modified mesenchymal stem cells promotes bone regeneration in rat critical-sized … Z Liu, X Yuan, G Fernandes, R Dziak, CN Ionita, C Li, C Wang, S Yang Stem cell research & therapy 8, 1-9, 2017 | 68 | 2017 |
| Assessment of computed tomography perfusion software in predicting spatial location and volume of infarct in acute ischemic stroke patients: a comparison of Sphere, Vitrea, and … RA Rava, KV Snyder, M Mokin, M Waqas, X Zhang, AR Podgorsak, ... Journal of neurointerventional surgery 13 (2), 130-135, 2021 | 67 | 2021 |
| Stent retriever thrombectomy with the Cover accessory device versus proximal protection with a balloon guide catheter: in vitro stroke model comparison M Mokin, SVS Nagesh, CN Ionita, J Mocco, AH Siddiqui Journal of neurointerventional surgery 8 (4), 413-417, 2016 | 66 | 2016 |
| Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms AR Podgorsak, RA Rava, MMS Bhurwani, AR Chandra, JM Davies, ... Journal of neurointerventional surgery 12 (4), 417-421, 2020 | 65 | 2020 |
| Antimicrobial peptide combined with BMP2-modified mesenchymal stem cells promotes calvarial repair in an osteolytic model Z Liu, X Yuan, M Liu, G Fernandes, Y Zhang, S Yang, CN Ionita, S Yang Molecular Therapy 26 (1), 199-207, 2018 | 63 | 2018 |
| Cone-beam micro-CT system based on LabVIEW software CN Ionita, KR Hoffmann, DR Bednarek, R Chityala, S Rudin Journal of digital imaging 21, 296-305, 2008 | 60 | 2008 |
| Feasibility study for use of angiographic parametric imaging and deep neural networks for intracranial aneurysm occlusion prediction MMS Bhurwani, M Waqas, AR Podgorsak, KA Williams, JM Davies, ... Journal of neurointerventional surgery 12 (7), 714-719, 2020 | 55 | 2020 |
| Particle image velocimetry (PIV) evaluation of flow modification in aneurysm phantoms using asymmetric stents CN Ionita, Y Hoi, H Meng, S Rudin Medical Imaging 2004: Physiology, Function, and Structure from Medical …, 2004 | 55 | 2004 |
| Assessment of an artificial intelligence algorithm for detection of intracranial hemorrhage RA Rava, SE Seymour, ME LaQue, BA Peterson, KV Snyder, M Mokin, ... World Neurosurgery 150, e209-e217, 2021 | 54 | 2021 |
ADNAN H. SIDDIQUISUNY University at Buffalo Department of NeurosurgeryEmail verificata su ubns.com
