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ORCIDLeonardo M. Angelone
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2010 – 2019
- 2019
[j9]Laleh Golestanirad
, John E. Kirsch, Giorgio Bonmassar, Sean Downs, Behzad Elahi, Alastair J. Martin, Maria Ida Iacono, Leonardo M. Angelone, Boris Keil, Lawrence L. Wald, Julie Pilitsis:
RF-induced heating in tissue near bilateral DBS implants during MRI at 1.5 T and 3T: The role of surgical lead management. NeuroImage 184: 566-576 (2019)- 2018
- [c7]Mikhail Kozlov, Marc Horner, Wolfgang Kainz, Leonardo M. Angelone:
Effect Of Incident Field Magnitude And Phase Distribution On Rfinduced Heating Due To Hip Implants. EMBC 2018: 1360-1363 - 2017
- [j8]Laleh Golestanirad, Maria Ida Iacono, Boris Keil, Leonardo M. Angelone, Giorgio Bonmassar, Michael D. Fox, Todd M. Herrington, Elfar Adalsteinsson, Cristen LaPierre, Azma Mareyam, Lawrence L. Wald:
Construction and modeling of a reconfigurable MRI coil for lowering SAR in patients with deep brain stimulation implants. NeuroImage 147: 577-588 (2017) - [c6]Mikhail Kozlov, Marc Horner, Wolfgang Kainz, Leonardo M. Angelone:
Investigating the effect of coil model losses on computational electromagnetic exposure of an ASTM phantom at 64 MHz MRI. EMBC 2017: 1481-1484 - 2016
- [j7]Elena Lucano, Micaela Liberti, Gonzalo G. Mendoza, Tom Lloyd, Maria Ida Iacono, Francesca Apollonio, Steve Wedan, Wolfgang Kainz, Leonardo M. Angelone:
Assessing the Electromagnetic Fields Generated By a Radiofrequency MRI Body Coil at 64 MHz: Defeaturing Versus Accuracy. IEEE Trans. Biomed. Eng. 63(8): 1591-1601 (2016) - [c5]Elena Lucano, Micaela Liberti, Tom Lloyd, Francesca Apollonio, Steve Wedan, Wolfgang Kainz, Leonardo M. Angelone:
RF induced energy for partially implanted catheters: A computational study. EMBC 2016: 1256-1259 - [c4]Eugenio Mattei, Elena Lucano, Federica Censi, Leonardo M. Angelone, Giovanni Calcagnini:
High dielectric material in MRI: Numerical assessment of the reduction of the induced local power on implanted cardiac leads. EMBC 2016: 2361-2364 - [c3]Mikhail Kozlov, Elena Lucano, Leonardo M. Angelone:
Effects of tuning conditions on near field of MRI transmit birdcage coil at 64 MHz. EMBC 2016: 6242-6245 - 2015
- [j6]Bu S. Park, Sunder Rajan, Joshua W. Guag, Leonardo M. Angelone:
A Novel Method to Decrease Electric Field and SAR Using an External High Dielectric Sleeve at 3 T Head MRI: Numerical and Experimental Results. IEEE Trans. Biomed. Eng. 62(4): 1063-1069 (2015) - [c2]Esra Neufeld, Ioannis Vogiatzis Oikonomidis, Maria Ida Iacono, Esther Akinnagbe, Leonardo M. Angelone, Wolfgang Kainz, Niels Kuster:
Simulation platform for coupled modeling of EM-induced neuronal dynamics and functionalized anatomical models. NER 2015: 517-520 - 2014
- [c1]Maria Ida Iacono, Esra Neufeld, Giorgio Bonmassar, Esther Akinnagbe, András Jakab, Ethan Cohen, Niels Kuster, Wolfgang Kainz, Leonardo M. Angelone:
A computational model for bipolar deep brain stimulation of the subthalamic nucleus. EMBC 2014: 6258-6261 - 2013
- [j5]Maria Ida Iacono, Nikos Makris, Luca T. Mainardi, Leonardo M. Angelone, Giorgio Bonmassar:
MRI-Based Multiscale Model for Electromagnetic Analysis in the Human Head with Implanted DBS. Comput. Math. Methods Medicine 2013: 694171:1-694171:12 (2013) - 2010
- [j4]Leonardo M. Angelone, Jyrki Ahveninen, John W. Belliveau, Giorgio Bonmassar:
Analysis of the Role of Lead Resistivity in Specific Absorption Rate for Deep Brain Stimulator Leads at 3T MRI. IEEE Trans. Medical Imaging 29(4): 1029-1038 (2010)
2000 – 2009
- 2008
- [j3]Nikos Makris, Leonardo M. Angelone, Seann Tulloch, Scott Sorg, Jonathan Kaiser, David N. Kennedy, Giorgio Bonmassar:
MRI-based anatomical model of the human head for specific absorption rate mapping. Medical Biol. Eng. Comput. 46(12): 1239-1251 (2008) - 2006
- [j2]Christos E. Vasios, Leonardo M. Angelone, Patrick L. Purdon, Jyrki Ahveninen, John W. Belliveau, Giorgio Bonmassar:
EEG/(f)MRI measurements at 7 Tesla using a new EEG cap ("InkCap"). NeuroImage 33(4): 1082-1092 (2006) - 2003
- [j1]Fabio Babiloni, Claudio Babiloni, Filippo Carducci, Gian Luca Romani, Paolo Maria Rossini, Leonardo M. Angelone, Febo Cincotti:
Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: a simulation study. NeuroImage 19(1): 1-15 (2003)
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