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A computational medical XR discipline

Fuente: arXiv

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Bibliographic Details
Main Authors:	Papagiannakis, George, Greenleaf, Walter, Cole, Michael, Zhang, Mark, Datta, Rabi, Delahaye, Mathias, Grigoriou, Eleni, Kamarianakis, Manos, Protopsaltis, Antonis, Bijlenga, Philippe, Magnenat-Thalmann, Nadia, Tsiridis, Eleftherios, Kenanidis, Eustathios, Vamvakidis, Kyriakos, Koutelidakis, Ioannis, Kannape, Oliver A
Format:	Preprint
Published:	2021
Subjects:	Graphics Human-Computer Interaction
Online Access:	Acceder al recurso
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_version_	1866914853440978944
author	Papagiannakis, George Greenleaf, Walter Cole, Michael Zhang, Mark Datta, Rabi Delahaye, Mathias Grigoriou, Eleni Kamarianakis, Manos Protopsaltis, Antonis Bijlenga, Philippe Magnenat-Thalmann, Nadia Tsiridis, Eleftherios Kenanidis, Eustathios Vamvakidis, Kyriakos Koutelidakis, Ioannis Kannape, Oliver A
author_facet	Papagiannakis, George Greenleaf, Walter Cole, Michael Zhang, Mark Datta, Rabi Delahaye, Mathias Grigoriou, Eleni Kamarianakis, Manos Protopsaltis, Antonis Bijlenga, Philippe Magnenat-Thalmann, Nadia Tsiridis, Eleftherios Kenanidis, Eustathios Vamvakidis, Kyriakos Koutelidakis, Ioannis Kannape, Oliver A
contents	Computational Medical Extended Reality (CMXR), brings together life sciences and neuroscience with mathematics, engineering and computer science. It unifies computational science (scientific computing) with intelligent extended reality and spatial computing for the medical field. It significantly differs from previous "Clinical XR" or "Medical XR" terms, as it is focusing on how to integrate computational methods from neural simulation to computational geometry, computational vision and computer graphics with deep learning models to solve specific hard problems in medicine and neuroscience: from low/no-code/genAI authoring platforms to deep learning XR systems for training, planning, operative navigation, therapy and rehabilitation.
format	Preprint
id	arxiv_https___arxiv_org_abs_2108_04136
institution	arXiv
publishDate	2021
record_format	arxiv
spellingShingle	A computational medical XR discipline Papagiannakis, George Greenleaf, Walter Cole, Michael Zhang, Mark Datta, Rabi Delahaye, Mathias Grigoriou, Eleni Kamarianakis, Manos Protopsaltis, Antonis Bijlenga, Philippe Magnenat-Thalmann, Nadia Tsiridis, Eleftherios Kenanidis, Eustathios Vamvakidis, Kyriakos Koutelidakis, Ioannis Kannape, Oliver A Graphics Human-Computer Interaction Computational Medical Extended Reality (CMXR), brings together life sciences and neuroscience with mathematics, engineering and computer science. It unifies computational science (scientific computing) with intelligent extended reality and spatial computing for the medical field. It significantly differs from previous "Clinical XR" or "Medical XR" terms, as it is focusing on how to integrate computational methods from neural simulation to computational geometry, computational vision and computer graphics with deep learning models to solve specific hard problems in medicine and neuroscience: from low/no-code/genAI authoring platforms to deep learning XR systems for training, planning, operative navigation, therapy and rehabilitation.
title	A computational medical XR discipline
topic	Graphics Human-Computer Interaction
url	https://arxiv.org/abs/2108.04136