Cristian Linte Headshot

Cristian Linte

Professor

Department of Biomedical Engineering
Kate Gleason College of Engineering
Program Faculty, School of Mathematics and Statistics

585-475-4926
Office Location

Cristian Linte

Professor

Department of Biomedical Engineering
Kate Gleason College of Engineering
Program Faculty, School of Mathematics and Statistics

Education

BS, University of Windsor (Canada); MESc, Ph.D., University of Western Ontario (Canada)

Bio

Dr. Cristian A. Linte completed his BASc in Mechanical and Materials Engineering at the University of Windsor in Windsor, Ontario, Canada, followed by his MESc and Ph.D. in Biomedical Engineering from the University of Western Ontario in London, Ontario, Canada. In 2011, Dr. Linte joined the Biomedical Imaging Resource at Mayo Clinic in Rochester MN – a group with a long standing tradition in the development of medical image analysis and image-guided intervention technology – for a post-doctoral fellowship, which transitioned into an research-track academic appointment as Assistant Professor of Biomedical Engineering in 2014.

585-475-4926

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Published Conference Proceedings
Beam, C., N. F. Otani, and C. A. Linte. "Reconstructing Cardiac Wave Dynamics from Myocardial Motion Data." Proceedings of the Computing in Cardiology. Ed. Corsi, C. and Severi, S. Rimini, Italy: IEEEE, 2020. Web.
Upendra, R R., S. Dangi, and C. A. Linte. "Automated Segmentation of Cardiac Chambers from Cine Cardiac MRI Using an Adversarial Network Architecture." Proceedings of the SPIE Medical Imaging - Image-Guided procedures, Robotic Interventions and Modeling. Ed. Linte, C. A. and Fei, B. Houston, TX: SPIE, 2020. Web.
Hasan, SM K. and C. A. Linte. "CondenseUNet: a memory-efficient condensely-connected architecture for bi-ventricular blood pool and myocardium segmentation." Proceedings of the SPIE Medical Imaging - Image-Guided procedures, Robotic Interventions and Modeling. Ed. Linte C. A. and Bei, B. Houston, TX: SPIE, 2020. Web.
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Journal Paper
Upendra, R R., R. A. Simon, and C. A. Linte. "Supervised Registration of Late Gadolinium Enhanced Cardiac MRI and Cine Cardiac MRI using Convolutional Neural Networks." Springer\\\'s Comm Comout Inform Science 1248. (2020): 208-220. Print.
Hasan, SM K., R. A. Simon, and C. A. Linte. "L-CO-Net: Learned Condensation-Optimization Network for Segmentation and Clinical Parameter Estimation from Cardiac Cine MRI." IEEE Eng Medical Biol. (2020): 1217-1220. Web.
Jackson, P., R. Simon, and C. A. Linte. "Surgical Tracking, Registration, and Navigation Characterization for Image-guided Renal Interventions." IEEE Eng Medical Biol.. (2020): 5081-84. Web.
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Book Chapter
Jalalahmadi, G., M. Helguera, and C. A. Linte. "Abdominal Aortic Aneurysms: Morphology, Risk Factors, Management and Image-based Modeling Strategies." Aortic Aneurysms: Signs, Symptoms and Management. Ed. Harky, A.. Liverpool, United Kingdom: Nova Publishers, 2020. 98-148. Print.
Linte, C.A. and Hacihaliloglu, I., Chen, E.C.S., Mousavi, P., Abolmaesumi, P., Boctor, E. "Interventional Imaging: Ultrasound." Handbook of Medical Image Computing and Computer Assisted Intervention. Ed. Zhou, K., Rueckert, D., and Fichtinger, G.. London, UK: Elsevier Academic Press. 1st edition, 2019. 701-720. Print.
CA, 2.Hacihaliloglu I, Chen ECS, Mousavi P, Abolmaesumi P, Boctor E and Linte. "Interventional Imaging: Ultrasound." Handbook of Medical Image Computing and Computer Assisted Intervention. London, UK: Elsevier Academic Press, 2019. 701-720. Print.
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Invited Keynote/Presentation
Linte, C. A. "A Modeling Approach to Cardiac Ablation Lesions: An Engineering Perspective." Atrial Fibrillation Symposium. Johnson & Johnson Institute & Biosense Webster. Madrid, Spain. 14 Feb. 2020. Lecture.
Jalalahmadi, G. "A machine leaning approach for assessing abdominal aortic aneurysm severity." Conference on the Mechanics of Biomaterials and Tissues. Elsevier. Kona, HI. 15-19 Dec. 2019. Keynote Speech.
Linte, C.A. "A Statistical Shape Model Approach for Computing Left Ventricle Volume and Ejection Fraction Using Multi-plane Ultrasound Images." Visualization and Image Processing Conference (VIPImage). European Community on Computational Methods in Applied Sciences (ECCOMAS). Porto, Portugal. 15-18 Oct. 2019. Keynote Speech.
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National/International Competition Award Winner
Ban-Zikri, Yehuda Kfir. Visualization & Image Processing (VIPImage) Conference. Best Student Paper Award. Porto, Portugal, 2019.
Ban-Zikri, Yehuda Kfir. Visualization & Image Processing (VIPImage) Conference. Best Student Paper Award. Porto, Portugal, 2019.
Linte, C.A. IEEE Region 1 Award. Outstanding Teacher / Scientist in an IEEE Area of Interest Award in Biomedical Engineering, Medical Image Computing and Computer-assisted Therapy. Albany, NY, 2018.
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Full Length Book
Linte, C.A. and Yaniv, Z., Kersten-Oertel, M., Rivaz, H., Xiao, Y. Special Issue on Augmented Environments for Computer-Assisted Interventions & Cerebral Visualization - IET Healthcare Technology Letters Journal. 5(4) ed. Stevenage, UK: IET, 2019. Print.
Linte, C.A. and Yaniv, Z., Kersten-Oertel, M., Rivaz, H., Xiao, Y. Special Issue on Augmented Environments for Computer-Assisted Interventions & Cerebral Visualization - IET Healthcare Technology Letters Journal. 5(4) ed. Stevenage, UK: IET, 2019. Print.
Peters, T. M., et al. Mixed and Augmented Reality in Medicine. 1st ed. London, UK: Taylor & Francis, 2019. Print.
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Peer Reviewed/Juried Poster Presentation or Conference Paper
Upendra, R.R. "An Adversarial Network Architecture Using 2D U-Net Models for Segmentation of Left Ventricle from Cine Cardiac MRI." Proceedings of the IEEE Engineering in Medicine and Biology Conference. Ed. Penzel, T. Berlin, Germnay: n.p..
Jalalahmadi, G. "A Computational Framework for Studying the Biomechanical Behavior and Severity of Abdominal Aortic Aneurysms." Proceedings of the Biomedical Engineering Society (BMES) Conference. Ed. Auguste D, Leach and Lele T. Philadelphia, PA: n.p..
Upendra, R.R. "Left Ventricle Segmentation from Cine Cardiac MRI Using Adversarial Network Architecture." Proceedings of the Biomedical Engineering Society (BMES) Conference. Ed. Auguste D, Leach and Lele T. Philadelphia, PA: n.p..
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Journal Editor
Y, Linte CA, Luo X, McLoud J, Yaniv ZR, Ches ECS, Kersten-Oertel M, Liao H, and Zhang, ed. IET Healthcare Technology Letters. Stevenage, UK: IET, 2019. Web.
Linte, C.A. and N. Padoy, ed. Springer's Journal of Computer Assisted Radiology and Surgery - Special Issue on Information Processing for Computer-Assisted Interventions. Heidelberg: Springer-Verlag, 2017. Print.
Linte, C.A., et al, ed. IET Healthcare Technology Letters Journal - Special Issue on Augmented Environments for Computer-Assisted Interventions. Stevenage: IET, 2017. Print.
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Invited Paper
CA, Linte. "Virtual and Augmented Medical Imaging Environments: Applications to Simulation, Training, Surgical Planning and Interventional Guidance." Computational Vision and Medical Image Processing. (2016). Print.
CA, Linte. "Virtual and Augmented Medical Imaging Environments: Applications to Simulation, Training, Surgical Planning and Interventional Guidance." Computational Vision and Medical Image Processing. (2016). Print.
Linte, CA and ZR Yaniv. "When Change Happens: Computer Assistance and Image Guidance for Minimally Invasive Therapy." Healthcare Technology Letters. Vol. 1. Pp. 2-5. (2014). Print.
Invited Article/Publication
CA, Linte and Yaniv ZR. "Image-guided Interventions: We’ve Come a Long Way, But Are We There?" IEEE Pulse. (2016). Web.
Linte, CA and Z Yaniv. "If We Can See It, We Can Fix It: From Medical Imaging to Guidance Environments for Computer-assisted Interventions." IEEE Life Sciences. (2015). Web.
Celano, L and CA Linte. "Propelling your Career." IEEE Pulse. (2015). Web.
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Currently Teaching

BIME-320
3 Credits
This course exposes students to the fundamentals of static and flowing fluids at both large-scale (control volumes) and local differential scales. Student learn how to examine forces on solids due to static and flowing fluids, estimate head losses and pumping requirements in piping systems. The art of engineering approximation is examined through estimates of forces due to flow on solids, as well as limiting cases involving internal pipe flows with friction factors. Exact solutions of local differential equations of fluid mechanics are considered under both steady state and transient conditions, and these analyses are used to determine forces in control volume analysis of bodies. The important interplay between differential and control volume analyses in solving problems is emphasized. Lastly, students are taught to make analogies about the concepts learned in generic fluid mechanics and apply them to the circulatory system, while outlining appropriate limitations.
BIME-499
0 Credits
One semester of paid work experience in biomedical engineering.
BIME-520
3 Credits
This course will focus on the application of fluid mechanics principles to vascular blood flow and flow dynamics. It will cover concepts such as the vascular system and flow patterns in different segments (i.e., blood, heart, arteries and veins), parameters and measures of flow dynamics, including pressure, flow rate, and vascular resistance; fully developed laminar flow (Poiseuille’s Law), applications of electrical analogous and optimality for modeling vascular flow using Poiseuille’s Law; equations of fluid flow (Continuity, Bernoulli, Navier-Stokes). In addition, the course will also cover the principles of microcirculation briefly, as well as the principles of pulsatile flow and wave propagation in both rigid and elastic vessels. Lastly, we will briefly cover the concepts of large artery hemodynamics and its effect on the vascular disease and medical imaging and blood flow (i.e., Doppler flow imaging, phase-contrast MRI and arterial spin labeling) techniques.
BIME-620
3 Credits
This course will focus on the application of fluid mechanics principles to vascular blood flow and flow dynamics. It will cover concepts such as the vascular system and flow patterns in different segments (i.e., blood, heart, arteries and veins), parameters and measures of flow dynamics, including pressure, flow rate, and vascular resistance; fully developed laminar flow (Poiseuille’s Law), applications of electrical analogous and optimality for modeling vascular flow using Poiseuille’s Law; equations of fluid flow (Continuity, Bernoulli, Navier-Stokes). In addition, the course will also cover the principles of microcirculation briefly, as well as the principles of pulsatile flow and wave propagation in both rigid and elastic vessels. Lastly, we will briefly cover the concepts of large artery hemodynamics and its effect on the vascular disease and medical imaging and blood flow (i.e., Doppler flow imaging, phase-contrast MRI and arterial spin labeling) techniques.
IMGS-699
0 Credits
This course is a cooperative education experience for graduate imaging science students.
IMGS-790
1 - 6 Credits
Masters-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-791
0 Credits
Continuation of Thesis
IMGS-799
1 - 4 Credits
This course is a faculty-directed tutorial of appropriate topics that are not part of the formal curriculum. The level of study is appropriate for student in their graduate studies.
IMGS-890
1 - 6 Credits
Doctoral-level research by the candidate on an appropriate topic as arranged between the candidate and the research advisor.
IMGS-891
0 Credits
Continuation of Thesis

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