Výsledky vyhledávání - "Drakopoulos F"

Akademický článek

Comparison of physics-based deformable registration methods for image-guided neurosurgery.

Autor: Chrisochoides N; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA, United States., Liu Y; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA, United States., Drakopoulos F; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA, United States., Kot A; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA, United States., Foteinos P; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA, United States., Tsolakis C; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA, United States., Billias E; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA, United States., Clatz O; Inria, French Research Institute for Digital Science, Sophia Antipolis, Valbonne, France., Ayache N; Inria, French Research Institute for Digital Science, Sophia Antipolis, Valbonne, France., Fedorov A; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA, United States.; Neuroimaging Analysis Center, Department of Radiology, Harvard Medical School, Boston, MA, United States., Golby A; Neuroimaging Analysis Center, Department of Radiology, Harvard Medical School, Boston, MA, United States.; Image-guided Neurosurgery, Department of Neurosurgery, Harvard Medical School, Boston, MA, United States., Black P; Image-guided Neurosurgery, Department of Neurosurgery, Harvard Medical School, Boston, MA, United States., Kikinis R; Neuroimaging Analysis Center, Department of Radiology, Harvard Medical School, Boston, MA, United States.

Publikováno v: Frontiers in digital health [Front Digit Health] 2023 Dec 08; Vol. 5, pp. 1283726. Date of Electronic Publication: 2023 Dec 08 (Print Publication: 2023).

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Real-Time Dynamic Data Driven Deformable Registration for Image-Guided Neurosurgery: Computational Aspects.

Autor: Chrisochoides N; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA., Fedorov A; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA.; Neuroimaging Analysis Center, Department of Radiology, Harvard Medical School, Boston, MA., Liu Y; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA., Kot A; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA., Foteinos P; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA., Drakopoulos F; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA., Tsolakis C; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA., Billias E; Center for Real-Time Computing, Computer Science Department, Old Dominion University, Norfolk, VA., Clatz O; Inria, French Research Institute for Digital Science, Sophia Antipolis, France., Ayache N; Inria, French Research Institute for Digital Science, Sophia Antipolis, France., Golby A; Neuroimaging Analysis Center, Department of Radiology, Harvard Medical School, Boston, MA.; Image-guided Neurosurgery, Department of Neurosurgery, Harvard Medical School, Boston, MA., Black P; Image-guided Neurosurgery, Department of Neurosurgery, Harvard Medical School, Boston, MA., Kikinis R; Neuroimaging Analysis Center, Department of Radiology, Harvard Medical School, Boston, MA.

Publikováno v: ArXiv [ArXiv] 2023 Sep 06. Date of Electronic Publication: 2023 Sep 06.

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Akademický článek

Large-scale electrophysiology and deep learning reveal distorted neural signal dynamics after hearing loss.

Autor: Sabesan S; Ear Institute, University College London, London, United Kingdom., Fragner A; Perceptual Technologies, London, United Kingdom., Bench C; Ear Institute, University College London, London, United Kingdom., Drakopoulos F; Ear Institute, University College London, London, United Kingdom., Lesica NA; Ear Institute, University College London, London, United Kingdom.

Publikováno v: ELife [Elife] 2023 May 10; Vol. 12. Date of Electronic Publication: 2023 May 10.

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Akademický článek

Model-based hearing-enhancement strategies for cochlear synaptopathy pathologies.

Autor: Drakopoulos F; Hearing Technology Lab, Department of Information Technology, Ghent University, Ghent, Belgium. Electronic address: fotios.drakopoulos@ugent.be., Vasilkov V; Hearing Technology Lab, Department of Information Technology, Ghent University, Ghent, Belgium; Department of Otolaryngology - Head & Neck Surgery, Harvard Medical School, Massachusetts Eye & Ear, Boston, MA, USA., Osses Vecchi A; Hearing Technology Lab, Department of Information Technology, Ghent University, Ghent, Belgium; Laboratoire des Systèmes Perceptifs, Département d'Études Cognitives, École Normale Supérieure (ENS), PSL University, Paris, France., Wartenberg T; Hearing Technology Lab, Department of Information Technology, Ghent University, Ghent, Belgium; Move the Brain, Zeist, Utrecht, the Netherlands., Verhulst S; Hearing Technology Lab, Department of Information Technology, Ghent University, Ghent, Belgium.

Publikováno v: Hearing research [Hear Res] 2022 Oct; Vol. 424, pp. 108569. Date of Electronic Publication: 2022 Jul 20.

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Akademický článek

A convolutional neural-network framework for modelling auditory sensory cells and synapses.

Autor: Drakopoulos F; Department of Information Technology, Ghent University, Ghent, Belgium. fotios.drakopoulos@ugent.be., Baby D; Department of Information Technology, Ghent University, Ghent, Belgium., Verhulst S; Department of Information Technology, Ghent University, Ghent, Belgium.

Publikováno v: Communications biology [Commun Biol] 2021 Jul 01; Vol. 4 (1), pp. 827. Date of Electronic Publication: 2021 Jul 01.

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Akademický článek

Adaptive Physics-Based Non-Rigid Registration for Immersive Image-Guided Neuronavigation Systems.

Autor: Drakopoulos F; Center for Real-Time Computing, Old Dominion University, Norfolk, VA, United States., Tsolakis C; Center for Real-Time Computing, Old Dominion University, Norfolk, VA, United States.; Department of Computer Science, Old Dominion University, Norfolk, VA, United States., Angelopoulos A; Center for Real-Time Computing, Old Dominion University, Norfolk, VA, United States.; Department of Computer Science, Old Dominion University, Norfolk, VA, United States., Liu Y; Center for Real-Time Computing, Old Dominion University, Norfolk, VA, United States., Yao C; Department of Neurosurgery, Huashan Hospital, Shanghai, China., Kavazidi KR; Department of Neurosurgery, Aristotle University of Thessaloniki, Thessaloniki, Greece., Foroglou N; Department of Neurosurgery, Aristotle University of Thessaloniki, Thessaloniki, Greece., Fedorov A; Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States., Frisken S; Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States., Kikinis R; Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States., Golby A; Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.; Department of Neurosurgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States., Chrisochoides N; Center for Real-Time Computing, Old Dominion University, Norfolk, VA, United States.; Department of Computer Science, Old Dominion University, Norfolk, VA, United States.

Publikováno v: Frontiers in digital health [Front Digit Health] 2021 Feb 18; Vol. 2, pp. 613608. Date of Electronic Publication: 2021 Feb 18 (Print Publication: 2020).

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Akademický článek

D 2 BGAN: Dual Discriminator Bayesian Generative Adversarial Network for Deformable MR–Ultrasound Registration Applied to Brain Shift Compensation.

Autor: Rahmani, Mahdiyeh^1,2 (AUTHOR) mrahmani@razi.tums.ac.ir, Moghaddasi, Hadis^1,2 (AUTHOR) h-moghaddasii@razi.tums.ac.ir, Pour-Rashidi, Ahmad³ (AUTHOR) apourrashidi@sina.tums.ac.ir, Ahmadian, Alireza^1,2 (AUTHOR) ahmadian@sina.tums.ac.ir, Najafzadeh, Ebrahim^4,5 (AUTHOR) najafzadeh.e@iums.ac.ir, Farnia, Parastoo^1,2 (AUTHOR) najafzadeh.e@iums.ac.ir

Publikováno v: Diagnostics (2075-4418). Jul2024, Vol. 14 Issue 13, p1319. 15p.

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