Vladislav Zimin, MD, PhD


Interventional Cardiologist Trained Overseas
Research Fellow at the University Hospitals Cleveland Medical Center
10900 Euclid Avenue
Cleveland, Ohio 44106, USA

Biography

After graduation from medical school has completed residency and cardiovascular surgery and interventional cardiology fellowship in Bakulev Center of Cardiovascular Surgery in Moscow Russia in 2010. Has defended a Ph.D. thesis in cardiovascular surgery in 2011 in Moscow, Russia.

Since 2011, has been a high-volume interventional cardiologist affiliated with multiple hospitals and served as a medical director at VA Medical center, Moscow Russia.

Since 2018 conducting a cardiac imaging and physiology fellowship at University Hospitals Cleveland Medical Center and holding a research associate position at Case Western Reserve University, Cleveland, OH, USA.

The research interests have centered on intravascular imaging, the treatment of calcified coronary artery disease, applying deep learning algorithms to develop prediction models, and optimizing outcomes with precision PCI. Has more than 50 publications in the field.

Committed to continuous professional development in clinical medicine, innovations, healthcare management and patient quality care.

Research Interest

His research interest keywords: OCT, IVUS, machine learning, deep learning, AI, intravascular imaging, stent expansion, FFR, iFR, calcium score, coronary CT, PCI, TAVR and cardiac MRI.

Scientific Activities

Awards and Grants

• (2018), Research Project Grant from National Institute of Health (R01 HL143484-01)
• (2014), AWARD of Excellence from the Department of HealthCare of Moscow, Russia
• (2013), Elected as a Chief External Expert in Interventional Cardiology & Endovascular Surgery of the Northeast District of Moscow city, Russia
• (1999), State Medical School Full Scholarship

Publications

1. Bokeria LA, Alekyan BG, Zakaryan NV, Staferov AV, Zimin VN. Results of drug-eluting stents after successful recanalization and PCI of chronic total occluded coronary arteries. Thoracic and cardiovascular surgery. 2010; 3: 13-20.
2. Bokeria LA, Alekyan BG, Zakaryan NV, Staferov AV, Zimin VN. Capabilities of DES in interventional treatment of coronary artery CTO. Bulletin Cardiovascular Surgery Bakoulev Scientific Center for Cardiovascular Surgery of the RAMS. 2010; 11(5): 59-69.
3. Bokeria LA, Alekyan BG, Zakaryan NV, Staferov AV, Zimin VN. Applications of drug-eluting stents in interventional treatments of coronary CTO. Thoracic and Cardiovascular Surgery. 2010; 3: 51-52.
4. Bokeria LA, Alekyan BG, Zakaryan NV, Staferov AV, Zimin VN, Kadyirov BA. The results of endovascular treatment of chronic total occlusions of an «unprotected left main artery. Creative cardiology. 2013; 1: 23-34.
5. Dallan LAP, Vergara-Martel A, Tensol GP, Zago E, Pizzato P, Zimin V, et al. OCT Imaging: Unraveling intra-stent restenosis physiopathology and laser atherectomy mechanisms of action. J Cardiol and Cardiovasc Ther. 2019; 15(1). doi: 10.19080/JOCCT.2019.15.555903
6. Dallan LAP, Young A, Bansal E, Gage A, Alaiti MA, Tensol GRP, et al. Predicted coronary occlusion and Impella salvage during valve-in-valve transcatheter aortic valve replacement. Cardiovasc Revasc Med. 2019; PII: S1553-8389(19)30233-4. doi: 10.1016/j.carrev.2019.03.019
7. Dallan LAP, Pereira GTR, Alaiti MA, Zimin V, Vergara-Martel A, Zago EI, et al. Laser imaging: Unraveling laser atherectomy mechanisms of action with optical coherence tomography. Curr Cardiovasc Imaging Rep. 2019; 12(8): 1-8. doi: 10.1007/s12410-019-9508-2
8. Lee J, Prabhu D, Kolluru C, Gharaibeh Y, Zimin VN, Dalln LAP, et al. Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features. Nature Sci Rep. 2020; 10: 2596. doi: 10.1038/s41598-020- 59315-6
9. Zimin VN, Jones MR, Richmond HCT, Durieux JC, Tensol GRP, Pizzato PE, et al. A feasibility study of the DyeVertTM plus system to reduce contrast media volumes in angiography procedures using optical coherence tomography. Cardiovasc Revasc Med. 2020; S1553-8389(20)30592-3. doi: 10.1016/j.carrev.2020.09.040
10. Pizzato PE, Samdani AJ, Vergara-Martel A, Dallan LA, Pereira GTR, Zago E, et al. Feasibility of coronary angiogram-derived vessel fractional flow reserve in the setting of standard of care percutaneous coronary intervention and its correlation with invasive FFR. Int J Cardiol. 2020; 301: 45-49. doi: 10.1016/j.ijcard.2019.10.054
11. Gharaibeh Y, Prabhu D, Kolluru C, Lee J, Zimin V, Bezerra H, Wilson D. Coronary calcification segmentation in intravascular OCT images using deep learning: Application to calcification scoring. J Med Imag. 2019; 6(4): 045002. doi: 10.1117/1.JMI.6.4.045002
12. Lee J, Prabhu D, Kolluru C, Gharaibeh Y, Zimin VN, Bezerra HG, et al. Automated plaque characterization using deep learning on coronary intravascular optical coherence tomographic images. Biomed Opt Express. 2019; 10(12): 6497-6515. doi: 10.1364/BOE.10.006497
13. Lee J, Dallan L, Zimin V, Gharaibeh Y, Bezerra H, Wilson D. Segmentation of coronary calcified plaque in intravascular OCT images using a two-step deep learning approach. 2020. doi: 10.1109/ACCESS.2020.3045285.
14. Dallan LAP, Pereira GTR, Zimin V, Vergara-Martel A, Fares A, Zago E, et al. Comparison of stent expansion using a volumetric versus the traditional method through optical coherence tomography in an all-comers population. Cardiovasc Revasc Med. 2021; 24: 48-54. doi: 10.1016/j.carrev.2020.09.015
15. Gharaibeh Y, Lee J, Kolluru C, Zimin VN, Dallan LAP, Bezerra HG, et al. Correction of metallic stent struts and guidewire shadows in intravascular optical coherence tomography images using conditional generative adversarial networks (cGAN). SPIE Medical Imaging. 2021. doi: 10.1117/12.2582177
16. Dallan LAP, Zimin VN, Lee J, Gharaibeh Y, Pereira GTR, Vergara-Martel A, et al. Assessment of post-dilatation strategies for optimal stent expansion in calcified coronary lesions: Ex vivo analysis with optical coherence tomography. Submitted Catheterization & Cardiovascular Interventions. 2021.
17. Dallan LAP, Ribeiro MH, Igwe C, Rodrigues GTP, Zago EI, Zimin V, et al. Rotational atherectomy and mechanical support to treat left main. JACC: Case Reports. 2019; 1(5): 811-814. doi: 10.1016/j.jaccas.2019.11.012
18. Bokeria LA, Alekyan BG, Zimin VN, et al. Applications of drug-eluting stents in interventional treatments of CTO of coronary arteries. Bulletin Cardiovascular Surgery Bakoulev Scientific Center of Cardiovascular Surgery of the RAMS. Materials. Paper presented at: 15th National Meeting Cardiovascular Surgery. 2009; 10(6): 204.
19. Bokeria LA, Alekyan BG, Zimin VN. Capabilities of DES after successful recanalization and PCI of CTO of coronary arteries. Bulletin Cardiovascular Surgery Bakoulev Scientific Center of Cardiovascular Surgery of the RAMS. Materials. Paper presented at: 14th session Cardiovascular Surgery Bakoulev Scientific Center for Cardiovascular Surgery of the RAMS with National meeting young scientists. 2010; 11(36): 110.
20. Bokeria LA, Alekyan BG, Zimin VN. Capabilities of DES after successful recanalization CTO of coronary arteries. Bulletin Cardiovascular Surgery Bakoulev Scientific Center of Cardiovascular Surgery of the RAMS. Materials 3-th Russian Congress and 12th Moscow International Course of endovascular surgery congenital and acquired heart diseases, cardiovascular pathology. 2010; 11(3): 41.
21. Bokeria LA, Alekyan BG, Zimin VN. Long-term results of implantation of DES in endovascular treatment of CTO of coronary arteries. Bulletin Cardiovascular Surgery Bakoulev Scientific Center of Cardiovascular Surgery of the RAMS. Materials XVIth National meeting cardiovascular surgeons. 2010; 11(6): 165.
22. Alekyan BG, Buziashvili YI, Zimin VN. Interventional treatment of CTO of an unprotected left main coronary artery. Bulletin Cardiovascular Surgery Bakoulev Scientific Center of Cardiovascular Surgery of the RAMS. Paper presented at: Materials XVI-the National meeting cardiovascular surgeons. 2010; 11(6): 172.
23. Zimin V, Gharaibeha Y, Lee J, Tensol GRP, Alaiti MA, Jia D, et al. Calcium analysis in coronary intravascular optical coherence tomography images using deep learning machine learning and finite element modeling. JACC: Cardiovasc Interv. 2019; 12(4) suppl. doi: 10.1016/j.jcin.2019.01.003
24. Tensol GRP, Dallan LAP, Pizzato P, Vergara-Martel A, Zago E, Zimin V, et al. Correlation between fraction flow reserve variation and optical coherence tomography imaging post-stenting optimization: Results from ILUMIEN-I trial. JACC: Cardiovasc Interv. 2019; 12(4 suppl): S1, 2019. doi: 10.1016/j.jcin.2019.01.004
25. Dallan LAP, Pizzato P, Tensol GRP, Vergara-Martel A, Zago E, Zimin V, et al. Application of virtual fractional flow reserve analysis in real world invasive procedures: Insights from ILUMIEN-I trial. JACC: Cardiovasc Interv. 2019; 12(4 suppl). S1-2. doi: 10.1016/j.jcin.2019.01.005
26. Jia D, Tensol GRP, Vergara-Martel A, Dallan LAP, Zimin V, Zago E, et al. The effect of plaque characteristic on stent expansion assessed by optical coherence tomography using a novel volumetric method. JACC: Cardiovasc Interv. 2019; 12(4 Suppl): S2. doi: 10.1016/j.jcin.2019.01.006
27. Zago E, Tensol GRP, Dallan LAP, Pizzato P, Samdani JA, Jia D, et al. An assessment of the quality of optical coherence tomography image acquisition: Are we doing the basic right? JACC: Cardiovasc Interv. 2019; 12(4 suppl): S2. doi: 10.1016/j.jcin.2019.01.007
28. Vergara-Martel A, Tensol GRP, Dallan LAP, Pizzato P, Zago E, Zimin V, et al. Comparison of stent expansion assessment by three-dimensional quantitative coronary angiography versus optical coherence tomography. JACC: Cardiovasc Interv. 2019; 12(4 suppl): S2-3.
29. Gharaibeh Y, Dong P, Kolluru C, Lee J, Zimin V, Mozafari H, et al. Deep learning segmentation of coronary calcified plaque from intravascular optical coherence tomography (IVOCT) images with application to finite element modeling of stent deployment. Procc Med Imaging. 2019.
30. Dallan L, Yung A, Bansal E, Alaiti M, Gage A, Pereira GTR, et al. Structural Heart Summit TVT; June 12-15 2019; Chicago, IL, USA.
31. Samdani AJ, Jia D, Tensol RP, Vergara-Martel A, Dallan L, Pizzato P, et al. Predictors of suboptimal post-PCI FFR from pre-PCI OCT characteristics. The abstract was presented at EuroPCR 2019.
32. Samdani AJ, Jia D, Tensol RP, Vergara-Martel A, Dallan L, Pizzato P, et al. Accomplishment of virtual FFR acquisition in real-world invasive procedures: Analysis from ILUMIEN-I trial.
33. Samdani AJ, Jia D, Tensol RP, Vergara-Martel A, Dallan L, Pizzato P, et al. Quality evaluation of OCT image acquisition: Insights of ILUMIEN-I trial. 2019.
34. Zimin VN, Jones MR, Richmond HCT, Durieux JC, Tensol GRP, Pizzato PE, et al. A feasibility study of the DyeVert ™ plus contrast reduction system to reduce contrast media in optical coherence tomography-guided percutaneous coronary interventions. J Am College Cardiol. 2019: 74(13 Supplement) B606; doi:10.1016/j.jacc.2019.08.732
35. Vergara-Martel A, Pizzato PE, Pereira GTR, Dallan LAP, Zago E, Zimin V, et al. Evaluation of the diagnostic performance of vessel fractional flow reserve. September 25-29, 2019.
36. Vergara-Martel A, Pereira GTR, Dallan LAP, Pizzato P, Zago E, Zimin V, et al. Comparison of stent expansion assessment by three-dimensional quantitative coronary angiography versus optical coherence tomography. JACC: Cardiovasc Interv. 2019; 12(4 Supplement). doi: 10.1016/j.jcin.2019.01.008
37. Dallan LAP, Pereira GTR, Zago E, Vergara-Martel A, Pizzato PE, Zimin V, et al. Evaluation of a new food and drug administration approved optical coherence tomography method for stent expansion in an all-comers population. Journal of the American College of Cardiology. 2019; 74 (13 Supplement): B351; doi: 10.1016/j.jacc.2019.08.438
38. Pizzato PE, Dallan LAP, Vergara-Martel A, Pereira GTR, Samdani A, Zago E, et al. Feasibility and correlation of angiogram derived vessel fractional flow reserve in a population undergoing percutaneous coronary intervention. September 25-29, 2019.
39. Vergara-Martel A, Pereira GTR, Jia D, Zago E, Dallan L, Pizzato PE, et al. Diagnostic performance of post-stenting 3-dimensional quantitative coronary angiography to predict underexpansion as measured by optical coherence tomography. 2019; 74(13 Supplement): doi: 10.1016/j.jacc.2019.08.434
40. Dallan L, Yung A, Bansal E, Gage A, Alaiti M, Pereira GTR, et al. Predicted coronary occlusion and impella bailout in valve-in-valve transcatheter aortic valve replacement: The importance of optimal Procedure Planning. September 25- 29, 2019.
41. Luis Augusto Dallan, Gabriel Tensol Rodrigues Pereira, Vladislav Zimin, Elder Iarossi Zago, Armando Vergara- Martel, Anas Fares, Marco Costa, Guillermo Attizzani, Hiram Grando Bezerra. Comparison of Stent Expansion Using a Novel Volumetric Method Versus the Traditional Calculation Through Optical Coherence Tomography in an All- Comers Population. JACC: Cardiovasc Interv. 2020; 13 (4 Suppl 5). S36.
42. Vergara-Martel A, Pereira GTR, Dallan L, Zago E, Fares A, Zimin V, et al. The impact of maximum balloon inflation pressure on stent expansion as measured by the volumetric method. JACC: Cardiovasc Interv. 2020; 13(4 Suppl 5): S36. doi: 10.1016/j.jcin.2020.01.112
43. Pereira GTR, Dallan LA, Alaiti MA, Zago EI, Vergara-Martel A, Fares A, et al. Treatment of in-stent restenosis using excimer laser coronary atherectomy and bioresorbable vascular scaffold guided by optical coherence tomography. JACC Cardiovasc Interv. 2019; 13(4 Suppl 5): S37. doi: 10.1016/j.jcin.2020.01.114
44. Dallan LA, Igwe CA, Naddeem F, Fares A, Flam E, Pereira GTR, et al. Cardiac computed tomography angiography preplanning yields safety and feasibility for the left atrial appendage closure using the minimalist approach. JACC: Cardiovasc Interv. 2020; 13(4 Suppl 5): S56. doi: 10.1016/j.jcin.2020.01.175
45. Dallan LA, Pereira GTR, Zimin VN, Vergara-Martel A, Fares A, Zago E, et al. Comparison of stent expansion using a volumetric versus the traditional method through optical coherence tomography in an all-comers population. JACC: Cardiovasc Interv. 2020; 13 (4 Suppl): S36. doi: 10.1016/j.jcin.2020.01.112
46. Gharaibeh Y, Lee J, Prabhu D, Dong P, Zimin VN, Dallan, LA, et al. Co-registration of pre- and post-stent intravascular OCT images for validation of finite element model simulation of stent expansion. Proc. SPIE Medical Imaging. 2020; 1131717 doi: 10.1117/12.2550212
47. Dallan L, Dong P, Zimin VN, Lee J, Gharaibeh Y, Tensol G, et al. Prediction of vessel rupture assessed by optical coherence tomography as a function of increasing pressure and balloon size in stent post-dilatation for calcified coronary lesions in ex-vivo and in-silico experimental model. JACC. 2020; 76(17 Suppl): doi: 10.1016/j.jacc.2020.09.431
48. Lee J, Dallan L, Zimin VN, Gharaibeh Y, Bezerra H, Wilson D. Automated prediction of acute stent deployment outcomes in intravascular OCT images using support vector regression. JACC: Cardiovasc Interv. 2020; 76(17 Suppl). doi: 10.1016/j.jacc.2020.09.304
49. Molony D, Lee J, Piccinelli M, Dunn R, Crawford S, Dallan L, et al. Investigation of the association of wall shear stress and fibrous cap thickness assessed by deep learning. JACC: Cardiovasc Interv. 2020; 76(17 Suppl). doi: 10.1016/j.jacc.2020.09.300
50. Zimin VN, Dong P, Dallan L, Lee J, Gharaibeh Y, Gu L, et al. Quantitative analysis of intracoronary calcium fracture and tissue dissection using finite element modeling and optical coherence Tomography imaging. JACC: Cardiovasc Interv. 2020; 76(17 Suppl). doi: 10.1016/j.jacc.2020.09.304
51. Lee J, Gharaibeh Y, Zimin VN, Dallan L, Bezerra H, Wilson D. Fully automated calcification segmentation in intravascular OCT images using a two-step deep learning approach. Circulation. 2020; 142: A15219.