Puneet Sharma, Ph.D.

Senior Director, Medical Imaging Technologies
Siemens Healthineers
Princeton, NJ 08540
Email: sharma.puneet AT siemens.com

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Focus: R&D Program Management, Technical Development, Clinical Collaborations.
Technical areas: Artificial Intelligence, Cardiovascular Imaging, Computational Modeling, Numerical Optimization, Inverse Problems, Systems & Controls
Puneet Sharma
Recent News

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Recent Journal and Conference Publications
  1. Adriaan Coenen, Young-Hak Kim, Mariusz Kruk, Christian Tesche, Jakob De Geer, Akira Kurata, Marisa L. Lubbers, Joost Daemen, Lucian Itu, Saikiran Rapaka, Puneet Sharma, Chris Schwemmer, Anders Persson, U. Joseph Schoepf, Cezary Kepka, Dong Hyun Yang and Koen Nieman, Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography–Based Fractional Flow Reserve , Circulation: Cardiovascular Imaging. 2018;11:e007217 [url][J]
  2. Christian Tesche, Carlo N De Cecco, Stefan Baumann, Matthias Renker, Tindal W McLaurin, Taylor M Duguay, Richard R Bayer 2nd, Daniel H Steinberg, Katharine L Grant, Christian Canstein, Chris Schwemmer, Max Schoebinger, Lucian M Itu, Saikiran Rapaka, Puneet Sharma, U Joseph Schoepf, Coronary CT angiography–derived fractional flow reserve: machine learning algorithm versus computational fluid dynamics modeling , Radiology, Vol. 288, No. 1, 2018 [url][J]
  3. L. Itu, D. Neumann, V. Mihalef, F. Meister, M. Kramer, M. Gulsun, M. Kelm, T. Kühne, Cardioproof, P. Sharma, Non-invasive assessment of patient-specific aortic haemodynamics from four-dimensional flow MRI data , Journal of the Royal Society, Interface Focus, Volume 8, issue 1, 2018 [url][J]
  4. L. Calmac, R. Niculescu, E. Badila, E. Weiss, D. Penes, D. Zamfir, L. Itu, L. Lazar, M> Carp, A. Itu, C. Suciu, T. Passerini, P. Sharma, B. Georgescu, D. Comaniciu, A data-driven approach combining image-based anatomical features and resting state measurements for the functional assessment of coronary artery disease , TCT 2016, Journal of American College of Cardiology, 2016;68(18_S):B212-B213[url]
  5. L. Itu, S. Rapaka, T. Passerini, B. Georgescu, C. Schwemmer, M. Schoebinger, T. Flohr, P. Sharma, D. Comaniciu, A Machine Learning Approach for Computation of Fractional Flow Reserve from Coronary Computed Tomography, Journal of Applied Physiology, Article in Press, 2016[url][J]
  6. F. Zhang, J. Kanik, T. Mansi, I. Voigt, P. Sharma, R. Ionasec, L. Subrahmanyan, B. Lin, L. Sugeng, D. Yuh, D. Comaniciu, J. Duncan, Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation, Medical Image Analysis 35, 599-609, 2016 [url]
  7. A. Coenen, M. Lubbers, A. Kurata, A. Kono, A. Dedic, R. Chelu, M. Dijkshoorn, R. van Geuns, M. Schoebinger, L. Itu, P. Sharma, K. Nieman, Coronary CT angiography derived fractional flow reserve: methodology and evaluation of a point of care algorithm , Journal of Cardiovascular Computed Tomography, Article in Press, 2015[url][J]
  8. M. Gülsün , G. Funka-Lea, P. Sharma, S. Rapaka, Y. Zheng, Coronary Centerline Extraction via Optimal Flow Paths and CNN Path Pruning, Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016 [url
  9. L. Itu, T. Passerini, E. Badila, L. Calmac, D. Zamfir, D. Penes, R. Niculescu, E. Weiss, L. Lazar, M. Carp, A. Itu, C. Suciu, P. Sharma, B. Georgescu, D. Comaniciu, Image-Based Computation of Instantaneous Wave-free Ratio from Routine Coronary Angiography: Evaluation of a Hybrid Decision Making Strategy with FFR, Journal of American College of Cardiology 2016;67(13_S):ACC 2016 [url]
  10. M. Tröbs, S. Achenbach, J. Röther, T. Redel, M. Scheuering, D. Winneberger, K. Klingenbeck, L. Itu, T. Passerini, A. Kamen, P. Sharma, D. Comaniciu, C. Schlundt, Comparison of Fractional Flow Reserve Based on Computational Fluid Dynamics Modeling Using Coronary Angiographic Vessel Morphology Versus Invasively Measured Fractional Flow Reserve , American Journal of Cardiology, 2015[url][J]
  11. L. Calmac, R. Niculescu, E. Badila, E. Weiss, D. Zamfir1, L. Itu, L. Lazar, M. Carp, A. Itu, C. Suciu, T. Passerini, P. Sharma, B. Georgescu, D. Comaniciu, Image-Based Computation of Instantaneous Wave-free Ratio from Routine Coronary Angiography - Initial Validation by Invasively Measured Coronary Pressures (TCT-40) , Journal of American College of Cardiology 2015;66(15_S):[url]
  12. K. Ralovich, L.Itu, D. Vitanovski, P. Sharma, R. Ionasec, V. Mihalef, W. Krawtschuk, Y. Zheng, A. Everett, G. Pongiglione, B. Leonardi, R. Ringel, N. Navab, T. Heimann, D. Comaniciu,Noninvasive hemodynamic assessment, treatment outcome prediction and follow-up of aortic coarctation from MR imaging , Medical Physics, 2015[url][J]
  13. C. Schlundt, T. Redel, M. Scheuering, D. Groke, K. Klingenbeck, L. Itu, P. Sharma, A. Kamen, D. Comaniciu, S. Achenbach, Model-Based Determination of Fractional Flow Reserve Based on Coronary Angiography – Initial Validation by Invasively Measured FFR (TCT-334) , Journal of the American College of Cardiology, 2014. [url]
  14. L. Itu, P. Sharma, T. Passerini, A. Kamen, C. Suciu, D. Comaniciu, A Parameter Estimation Framework for Patient-specific Hemodynamic Computations, Journal of Computational Physics 2014 [url][J]
  15. L. Itu, P. Sharma, K. Ralovich, V. Mihalef, R. Ionasec, A. Everett, R. Ringel, A. Kamen, D. Comaniciu, Non-Invasive Hemodynamic Assessment of Aortic Coarctation: Validation with In Vivo Measurements, Annals of Biomedical Engineering, Dec 2012 (epub ahead of print - 2013). [url] [J]

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Patents and Patent Applications
  1. Method and System for Computational Modeling of the Aorta and Heart, US Patent Link
  2. Method and System for Multi-Component Heart and Aorta Modeling for Decision Support in Cardiac Diseases, US Patent Link
  3. Method and System for Comprehensive Patient-Specific Modeling of the Heart, US Patent Link
  4. Method and System for Non-Invasive Assessment of Coronary Artery Disease, US Patent Application Link
  5. Patient-Specific Computational Modeling & Simulation of Coupled Hemodynamic Analysis of Cerebral Vessels, US Patent Application Link
  6. Method and System for Patient-Specific Hemodynamic Assessment of Virtual Stent Implantation, US Patent Link
  7. Method and System for Multi-Scale Anatomical and Functional Modeling of Coronary Circulation, Patent Application Link
  8. Blood Flow Computation in Vessels with Implanted Devices, US Patent Link
  9. Method and System for Advanced Measurements Computation and Therapy Planning from Medical Data and Images Using a Multi-Physics Fluid-Solid Heart Model, US Patent ApplicationLink
  10. Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis, US Patent ApplicationLink
  11. Method and System for Hemodynamic Assessment of Aortic Coarctation from Medical Image Data, US Patent ApplicationLink
  12. Patient Specific Planning and Simulation of Ablative Procedures, US Patent Application Link
  13. A Framework for Personalization of Coronary Flow Computations During Rest and Hyperemia , WIPO Patent ApplicationLink
  14. Computation of Hemodynamic Quantities From Angiographic Data, US Patent Application Link
  15. Viscoelastic modeling of blood vessels, US Patent Application Link
  16. Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis, US Patent Application Link
  17. System and Method for Patient Specific Modeling of Liver Tumor Ablation, US Patent Application Link
  18. Patient-specific automated tuning of boundary conditions for distal vessel tree, US Patent Application Link
  19. Determining Functional Severity of Stenosis, US Patent Application Link
  20. System and method for interactive patient specific simulation of radiofrequency ablation therapy, US Patent Application Link
  21. Patient Specific Planning and Simulation of Ablative Procedures, US Patent ApplicationLink
  22. Method and System for Blood Flow Velocity Reconstruction From Medical Images, US Patent Application, US Patent Application. Link
  23. Method and System for Functional Assessment of Renal Artery Stenosis from Medical Images, US Patent Application Link
  24. Method and System for Machine Learning Based Assessment of Fractional Flow Reserve, US Patent Application Link.
  25. Method and System for Non-Invasive Computation of Hemodynamic Indices for Coronary Artery Stenosis , US Patent Application Link.
  26. System and Method for Mapping Patient Data from One Physiological State to Another Physiological State, US Patent Application Link.
  27. Method and System for Improved Hemodynamic Computation in Coronary Arteries, US Patent Application Link.
  28. Estimation of a Mechanical Property of Anatomy from Medical Scan Data, US Patent Application Link.
  29. Method and System for Prediction of Post-Stenting Hemodynamic Metrics for Treatment Planning of Arterial Stenosis, US Patent Application Link.
  30. Method and System for Automated Therapy Planning for Arterial Stenosis , US Patent Application Link.
  31. Method and System for Non-Invasive Assessment of Coronary Artery Disease, US Patent Application Link
  32. Computation of Hemodynamic Quantities From Angiographic Data, US Patent Application Link
  33. Method and System for Machine Learning Based Assessment of Fractional Flow Reserve, US Patent Application Link.
  34. Synthetic Data-driven Hemodynamic Determination in Medical Imaging , US Patent Application Link
  35. Synthetic Data-driven Hemodynamic Determination in Medical Imaging , US Patent Application Link
  36. Method and System for Personalized Non-Invasive Hemodynamic Assessment of Renal Artery Stenosis from Medical Images, US Patent Application Link
  37. Personalized whole-body circulation in medical imaging, US Patent Application Link
  38. Three-dimensional quantitative heart hemodynamics in medical imaging , US Patent Application Link
  39. Plaque vulnerability assessment in medical imaging, US Patent Application Link
  40. Direct Computation of Image-derived Biomarkers, US Patent Application Link
  41. Method and System for Enhancing Medical Image-Based Blood Flow Computations Using Physiological Measurements, US Patent Application Link
  42. Method and System for Hemodynamic Computation in Coronary Arteries, US Patent Application Link
  43. Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis Using Flow Computations in Diseased and Hypothetical Normal Anatomical Models, US Patent Application Link
  44. System and Method For Learning Based Magnetic Resonance Fingerprinting, US Patent Application Link
  45. Patient-specific Radiation Dose Assessment in Medical Therapy, US Patent Application Link
  46. Method and System for Purely Geometric Machine Learning Based Fractional Flow Reserve, US Patent Application Link
  47. System and Method for Medical Image Based Cardio-Embolic Stroke Risk Prediction, US Patent Application Link
  48. Method and System for Extracting Centerline Representation of Vascular Structures in Medical Images Via Optimal Paths in Computational Flow Fields, US Patent Application Link
  49. Method and system for vascular disease detection using recurrent neural networks, US Patent Link
  50. Determining arterial wall property with blood flow model, US Patent Application Link
  51. Method and System for Personalized Blood Flow Modeling Based on Wearable Sensor Networks, US Patent Application Link
  52. System and method for determining optimal operating parameters for medical imaging , US Patent Application Link
  53. Method and system for vascular disease detection using recurrent neural networks, US Patent Application Link
  54. Method and system for machine learning based assessment of fractional flow reserve , US Patent Application Link
  55. Classifying view of an angiographic medical imaging system , US Patent Application Link
  56. Machine learning based real-time radiation dose assessment, US Patent Application Link
  57. System and Method for Optimizing Contrast Imaging of a Patient, US Patent Application Link
  58. Synthetic data-driven hemodynamic determination in medical imaging, US Patent Application Link
  59. CFD simulation assisted 4D DSA reconstruction , US Patent Application Link
  60. Method and System for Disease Progression Modeling and Therapy Optimizing for Individual Patients, US Patent Application Link
  61. Method and System for Machine Learning based Assessment of Fractional Flow Reserve, US Patent Application Link
  62. Personalized Assessment of Bone Health, US Patent Application Link
  63. Fractional Flow Reserve Decision Support System, US Patent Application Link
  64. Coronary Computed Tomography Decision Support System, US Patent Application Link
  65. Personalized Assessment of Patients with Acute Coronary Syndrome, US Patent Application Link
  66. Rapid Assessment and Outcome Analysis for Medical Patients, US Patent Application Link
  67. Optimization of Clinical Decision Making, US Patent Application Link