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<div class="BookChapter Publication short-list"> <div class="authors"> <span class="author-name" > Mach, Berta </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10055417"> <a href="/gui2/?type=authors&mode=browse&sel=10055417" target="_blank">Nagyné Elek, Renáta</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10023855"> <a href="/gui2/?type=authors&mode=browse&sel=10023855" target="_blank">Haidegger, Tamás</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;34151271" mtid="34151271" target="_blank">Recent Approaches in Laparoscopic Training Phantom Development—a Review</a></div> <div class="InBook">In: Szakál, Anikó (eds.) <span class="booktitle"><a href="/gui2/?mode=browse¶ms=publication;34146292" target="_blank">SISY 2023 IEEE 21st International Symposium on Intelligent Systems and Informatics </a></span > </div><div class="pub-info"> <span class="publishedAt">Bp, Hungary : <span class="publisher">IEEE Hungary Section</span> <span class="year">(2023)</span> <span class="pageLength">663 p.</span> <span class="page"> pp. 295-301. , 7 p. </span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SISY60376.2023.10417939" target="_blank" href="https://doi.org/10.1109/SISY60376.2023.10417939"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85185843806" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85185843806"> Scopus </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Publication:34151271 </span> <span class="status-holder"><span class="status-data status-ADMIN_APPROVED"> Admin approved </span></span> <span class="pub-core">Core Citing </span> <span class="pub-type">Chapter in Book (Conference paper ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Scientific</span> </div> </div> </div><div class="BookChapter Publication long-list">
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<span class="author-affil"><span title="Óbuda University">ÓU</span>/Applied Informatics and Applied Mathematics Doctoral School; <span title="Óbuda University">ÓU</span>/<span title="Neumann János Faculty of Informatics">NJFCS</span>/Biomatika és Alkalmazott Mesterséges Intelligencia Intézet</span>
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<span class="author-affil"><span title="Óbuda University">ÓU</span>/<span title="Egyetemi Kutató és Innovációs Központ">EKIK</span>/Antal Bejczy Center for Intelligent Robotics; <span title="Óbuda University">ÓU</span>/<span title="Neumann János Faculty of Informatics">NJFCS</span>/Biomatika és Alkalmazott Mesterséges Intelligencia Intézet</span>
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Next in Surgical Data Science: Autonomous Non-Technical Skill Assessment in Minimally Invasive Surgery Training
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Background: It is well understood that surgical skills largely define patient outcomes both in Minimally Invasive Surgery (MIS) and Robot-Assisted MIS (RAMIS). Non-technical surgical skills, including stress and distraction resilience, decision-making and situation awareness also contribute significantly. Autonomous, technologically supported objective skill assessment can be efficient tools to improve patient outcomes without the need to involve expert surgeon reviewers. However, autonomous non-technical skill assessments are unstandardized and open for more research. Recently, Surgical Data Science (SDS) has become able to improve the quality of interventional healthcare with big data and data processing techniques (capture, organization, analysis and modeling of data). SDS techniques can also help to achieve autonomous non-technical surgical skill assessments. Methods: An MIS training experiment is introduced to autonomously assess non-technical skills and to analyse the workload based on sensory data (video image and force) and a self-rating questionnaire (SURG-TLX). A sensorized surgical skill training phantom and adjacent training workflow were designed to simulate a complicated Laparoscopic Cholecystectomy task; the dissection of the cholecyst’s peritonial layer and the safe clip application on the cystic artery in an uncomfortable environment. A total of 20 training sessions were recorded from 7 subjects (3 non-medicals, 2 residents, 1 expert surgeon and 1 expert MIS surgeon). Workload and learning curves were studied via SURG-TLX. For autonomous non-technical skill assessment, video image data with tracked instruments based on Channel and Spatial Reliability Tracker (CSRT) and force data were utilized. An autonomous time series classification was achieved by a Fully Convolutional Neural Network (FCN), where the class labels were provided by SURG-TLX. Results: With unpaired t-tests, significant differences were found between the two groups (medical professionals and control) in certain workload components (mental demands, physical demands, and situational stress, p<0.0001, 95% confidence interval, p<0.05 for task complexity). With paired t-tests, the learning curves of the trials were also studied; the task complexity resulted in a significant difference between the first and the second trials. Autonomous non-technical skill classification was based on the FCN by applying the tool trajectories and force data as input. This resulted in a high accuracy (85%) on temporal demands classification based on the z component of the used forces and 75% accuracy for classifying mental demands/situational stress with the x component of the used forces validated with Leave One Out Cross-Validation. Conclusions: Non-technical skills and workload components can be classified autonomously based on measured training data. SDS can be effective via automated non-technical skill assessment.
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<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" mtid="10055417"> <a href="/gui2/?type=authors&mode=browse&sel=10055417" target="_blank">Nagyné Elek, Renáta</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10023855"> <a href="/gui2/?type=authors&mode=browse&sel=10023855" target="_blank">Haidegger, Tamás ✉</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;33547343" mtid="33547343" target="_blank">Next in Surgical Data Science: Autonomous Non-Technical Skill Assessment in Minimally Invasive Surgery Training</a></div> <div class="pub-info"> <span class="journal-title">JOURNAL OF CLINICAL MEDICINE</span> <span class="journal-volume">11</span> : <span class="journal-issue">24</span> <span class="page"> Paper: 7533 , 16 p. </span> <span class="year">(2022)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.3390/jcm11247533" target="_blank" href="https://doi.org/10.3390/jcm11247533"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000902483100001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000902483100001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85144712664" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85144712664"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://www.mdpi.com/2077-0383/11/24/7533" target="_blank" href="https://www.mdpi.com/2077-0383/11/24/7533"> Other URL </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Publication:33547343 </span> <span class="status-holder"><span class="status-data status-ADMIN_APPROVED"> Admin approved </span></span> <span class="pub-core">Core Citing </span> <span class="pub-type">Journal Article (Article ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Scientific</span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 2</span> | Independent citation: 2 | Self citation: 0 | Unknown citation: 0 | Number of citations in WoS: 2 | Number of citations in Scopus: 2 | WoS/Scopus assigned: 2 | Number of citations with DOI: 2 </div> </div> </div> </div><div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10055417"><a href="/gui2/?type=authors&mode=browse&sel=10055417" target="_blank">Nagyné Elek Renáta (<span class="authorship-author-name">Levendovics Renáta</span> <span class="authorAux-mtmt"> Sebészeti robotika</span>) </a> </span> <span class="author-affil"><span title="Óbuda University">ÓU</span>/<span title="Egyetemi Kutató és Innovációs Központ">EKIK</span>/Antal Bejczy Center for Intelligent Robotics</span> ; <span class="author-name" mtid="10023855"><a href="/gui2/?type=authors&mode=browse&sel=10023855" target="_blank">Haidegger Tamás ✉ (<span class="authorship-author-name">Haidegger Tamás</span> <span class="authorAux-mtmt"> orvosi robotika és mesterséges intelligencia</span>) </a> </span> <span class="author-affil"><span title="Óbuda University">ÓU</span>/<span title="Egyetemi Kutató és Innovációs Központ">EKIK</span>/Antal Bejczy Center for Intelligent Robotics</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse¶ms=publication;33547343" target="_blank">Next in Surgical Data Science: Autonomous Non-Technical Skill Assessment in Minimally Invasive Surgery Training</a></div> <div> <span class="journal-title">JOURNAL OF CLINICAL MEDICINE</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/2077-0383">2077-0383</a>)</span>: <span class="journal-volume">11</span> <span class="journal-issue">24</span> <span class="page"> Paper 7533. 16 p. </span> <span class="year">(2022)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Language: English | </span> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.3390/jcm11247533" target="_blank" href="https://doi.org/10.3390/jcm11247533"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000902483100001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000902483100001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85144712664" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85144712664"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://www.mdpi.com/2077-0383/11/24/7533" target="_blank" href="https://www.mdpi.com/2077-0383/11/24/7533"> Other URL </a> </span> </span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 2</span> | Independent citation: 2 | Self citation: 0 | Unknown citation: 0 | Number of citations in WoS: 2 | Number of citations in Scopus: 2 | WoS/Scopus assigned: 2 | Number of citations with DOI: 2 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;33547343&sort=publishedYear,desc&sort=title"> Number of cited publications: 7 </a> </div> <div class="mtid"><span class="long-pub-mtid">Publication: 33547343</span> | <span class="status-data status-ADMIN_APPROVED"> Admin approved </span> Core Citing | <span class="type-subtype">Journal Article ( Article ) </span> | <span class="pub-category">Scientific</span> | <span class="publication-sourceOfData">kézi felvitel</span> </div> <div class="lastModified">Last Modified: 2023.09.18. 10:55 Ágnes Szalóky-Siki (SE_KK_Admin5_SZSA, admin) </div> </div></div>
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Óbuda Universtiy, Antal Bejczy Center for Intelligent Robotics, Budapest, Hungary
Óbuda University, Doctoral School of Applied Informatics and Applied Mathematics, Budapest, Hungary
Óbuda University, John von Neumann Faculty of Informatics, Budapest, Hungary
University Research and Innovation Center (EKIK), Óbuda University, Budapest, Hungary
Austrian Center for Medical Innovation and Technology, Wiener Neustadt, Austria
Conference code: 186564
Export Date: 18 January 2024
Correspondence Address: Takacs, K.; Óbuda Universtiy, Hungary
Funding details: Horizon 2020 Framework Programme, H2020, 871631
Funding details: Óbudai Egyetem
Funding details: Alkalmazott Informatikai és Alkalmazott Matematikai Doktori Iskola, Óbudai Egyetem, AIAMDI
Funding text 1: This work has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement No 871631, RoBUTCHER (A Robust, Flexible and Scalable Cognitive Robotics Platform). Kristof Takacs acknowledges the financial support of O buda University, Budapest, Hungary Doctoral School of Applied Informatics and Applied Mathematics.
Funding text 2: Kristóf Takács acknowledges the financial support of Óbuda University, Budapest, Hungary – Doctoral School of Applied Informatics and Applied Mathematics.
Funding text 3: V. ACKNOWLEDGMENT This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871631, RoBUTCHER (A Robust, Flexible and Scalable Cognitive Robotics Platform).
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<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Óbuda Universtiy, Antal Bejczy Center for Intelligent Robotics, Budapest, Hungary
Óbuda University, Doctoral School of Applied Informatics and Applied Mathematics, Budapest, Hungary
Óbuda University, John von Neumann Faculty of Informatics, Budapest, Hungary
University Research and Innovation Center (EKIK), Óbuda University...</pre>
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<div class="BookChapter Publication short-list"> <div class="authors"> <span class="author-name" mtid="10063541"> <a href="/gui2/?type=authors&mode=browse&sel=10063541" target="_blank">Karoly, Artur I.</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10055417"> <a href="/gui2/?type=authors&mode=browse&sel=10055417" target="_blank">Nagyne Elek, Renata</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10023855"> <a href="/gui2/?type=authors&mode=browse&sel=10023855" target="_blank">Haidegger, Tamas</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10019851"> <a href="/gui2/?type=authors&mode=browse&sel=10019851" target="_blank">Galambos, Peter</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;32154559" mtid="32154559" target="_blank">Moving Obstacle Segmentation with an Optical Flow-based DNN: an Implementation Case Study</a></div> <div class="InBook">In: IEEE, , (eds.) <span class="booktitle"><a href="/gui2/?mode=browse¶ms=publication;32463753" target="_blank">2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) </a></span > </div><div class="pub-info"> <span class="publishedAt">New York City, United States of America : <span class="publisher">Institute of Electrical and Electronics Engineers</span> <span class="year">(2021)</span> <span class="page"> pp. 000189-000194. , 6 p. </span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/INES52918.2021.9512898" target="_blank" href="https://doi.org/10.1109/INES52918.2021.9512898"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000709774300030" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000709774300030"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85113926586" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85113926586"> Scopus </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Publication:32154559 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Validated </span></span> <span class="pub-core">Core Citing </span> <span class="pub-type">Chapter in Book (Conference paper ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Scientific</span> </div> </div> </div><div class="BookChapter Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10063541"><a href="/gui2/?type=authors&mode=browse&sel=10063541" target="_blank">Karoly Artur I. 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EIT Digital Master School, Autonomous Systems Track, Double Degree Programme at the Technische Universität Berlin, Straße des 17. Juni 135, Berlin, 10623, Germany
Computer Science for Autonomous Driving, Eötvös Loránd University, Egyetem tér 1-3, Budapest, 1053, Hungary
Antal Bejczy Center for Intelligent Robotics, University Research and Innovation Center, Óbuda University, Budapest, 1034, Hungary
Doctoral School of Applied Informatics and Applied Mathematics, Óbuda University, Bécsi út 96/b, Budapest, 1034, Hungary
John von Neumann Faculty of Informatics, Óbuda University, Bécsi út 96/b, Budapest, 1034, Hungary
Austrian Center for Medical Innovation and Technology, Viktor Kaplan-Straße 2/1, Wiener Neustadt, 2700, Austria
Cited By :1
Export Date: 27 May 2022
Correspondence Address: Elek, R.N.; Antal Bejczy Center for Intelligent Robotics, Hungary; email: renata.elek@irob.uni-obuda.hu
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<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" > Lajkó, Gábor </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10055417"> <a href="/gui2/?type=authors&mode=browse&sel=10055417" target="_blank">Nagyné Elek, Renáta ✉</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10023855"> <a href="/gui2/?type=authors&mode=browse&sel=10023855" target="_blank">Haidegger, Tamás</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;32154807" mtid="32154807" target="_blank">Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery</a></div> <div class="pub-info"> <span class="journal-title">SENSORS</span> <span class="journal-volume">21</span> : <span class="journal-issue">16</span> <span class="page"> Paper: 5412 , 24 p. </span> <span class="year">(2021)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.3390/s21165412" target="_blank" href="https://doi.org/10.3390/s21165412"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000690222800001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000690222800001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85112107796" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85112107796"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://www.mdpi.com/1424-8220/21/16/5412" target="_blank" href="https://www.mdpi.com/1424-8220/21/16/5412"> Other URL </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Publication:32154807 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Validated </span></span> <span class="pub-core">Core Citing </span> <span class="pub-type">Journal Article (Article ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Scientific</span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 13</span> | Independent citation: 10 | Self citation: 3 | Unknown citation: 0 | Number of citations in WoS: 13 | Number of citations in Scopus: 11 | WoS/Scopus assigned: 13 | Number of citations with DOI: 13 </div> </div> </div> </div><div class="JournalArticle Publication long-list">
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<span class="author-affil"><span title="Óbuda University">ÓU</span>/<span title="Egyetemi Kutató, Innovációs és Szolgáltató Központ">EKIK</span>/Antal Bejczy Center for Intelligent Robotics; <span title="Óbuda University">ÓU</span>/<span title="Neumann János Faculty of Informatics">NJFCS</span>/Biomatika és Alkalmazott Mesterséges Intelligencia Intézet</span>
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<div class="funder"> Innovációs szolgáltató bázis létrehozása diagnosztikai, terápiás és kutatási célú kiberorvosi ren...(2019-1-3-1-KK-2019-00007) Funder: NKFIH </div>
<div class="lastModified">Last Modified: 2023.09.18. 09:20 Ágnes Szalóky-Siki (SE_KK_Admin5_SZSA, admin)
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<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: EIT Digital Master School, Autonomous Systems Track, Double Degree Programme at the Technische Universität Berlin, Straße des 17. Juni 135, Berlin, 10623, Germany
Computer Science for Autonomous Driving, Eötvös Loránd University, Egyetem tér 1-3, Budapest, 1053, Hungary
Antal Bejczy Center for Intelligent Robotics, University Research and Innovati...</pre>
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<div class="BookChapter Publication short-list"> <div class="authors"> <span class="author-name" > Lajkó, Gábor </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10055417"> <a href="/gui2/?type=authors&mode=browse&sel=10055417" target="_blank">Nagyné, Elek Renáta</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10023855"> <a href="/gui2/?type=authors&mode=browse&sel=10023855" target="_blank">Haidegger, Tamás</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;32104177" mtid="32104177" target="_blank">Surgical Skill Assessment Automation Based on Sparse Optical Flow Data</a></div> <div class="InBook">In: IEEE, , (eds.) <span class="booktitle"><a href="/gui2/?mode=browse¶ms=publication;32463753" target="_blank">2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES) </a></span > </div><div class="pub-info"> <span class="publishedAt">New York City, United States of America : <span class="publisher">Institute of Electrical and Electronics Engineers</span> <span class="year">(2021)</span> <span class="page"> p. 1 , 7 p. </span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/INES52918.2021.9512917" target="_blank" href="https://doi.org/10.1109/INES52918.2021.9512917"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000709774300032" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000709774300032"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85113946049" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85113946049"> Scopus </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Publication:32104177 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Validated </span></span> <span class="pub-core">Core Citing </span> <span class="pub-type">Chapter in Book (Conference paper ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Scientific</span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 2</span> | Independent citation: 1 | Self citation: 1 | Unknown citation: 0 | Number of citations in WoS: 2 | Number of citations in Scopus: 2 | WoS/Scopus assigned: 2 | Number of citations with DOI: 2 </div> </div> </div> </div><div class="BookChapter Publication long-list">
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<div class="funder"> Innovációs szolgáltató bázis létrehozása diagnosztikai, terápiás és kutatási célú kiberorvosi ren...(2019-1-3-1-KK-2019-00007) Funder: NKFIH </div>
<div class="lastModified">Last Modified: 2023.09.18. 09:15 Ágnes Szalóky-Siki (SE_KK_Admin5_SZSA, admin)
</div>
<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Technische Universität Berlin, Eit Digital Master School Autonomous Systems Track, Berlin, Germany
Óbuda University, Antal Bejczy Center for Intelligent Robotics (IROB), Ekik Doctoral School of Applied Informatics John von Neumann Faculty of Informatics, Budapest, Hungary
Export Date: 27 May 2022</pre>
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Funding text: Authors thankfully acknowledge the financial support of this work by the Hungarian State and the European Union under the EFOP-3.6.1-16-2016-00010 project. T. Haidegger and R. Nagyne Elek are supported through the New National Excellence Program of the Ministry of Human Capacities. T. Haidegger is a Bolyai Fellow of the Hungarian Academy of Sciences.
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<div class="JournalArticle Publication short-list"> <div class="authors"> <span class="author-name" mtid="10055417"> <a href="/gui2/?type=authors&mode=browse&sel=10055417" target="_blank">Nagyné Elek, Renáta ✉</a> </span> <span class="author-type"> </span> ; <span class="author-name" mtid="10023855"> <a href="/gui2/?type=authors&mode=browse&sel=10023855" target="_blank">Haidegger, Tamás</a> </span> <span class="author-type"> </span> </div ><div class="title"><a href="/gui2/?mode=browse¶ms=publication;32009471" mtid="32009471" target="_blank">Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery</a></div> <div class="pub-info"> <span class="journal-title">SENSORS</span> <span class="journal-volume">21</span> : <span class="journal-issue">8</span> <span class="page"> Paper: 2666 , 23 p. </span> <span class="year">(2021)</span> </div> <div class="pub-end"><div class="identifier-list"> <span class="identifiers"> <span class="id identifier oa_GOLD" title=" Gold "> <a style="color:blue" title="10.3390/s21082666" target="_blank" href="https://doi.org/10.3390/s21082666"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="000644788100001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000644788100001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85103811960" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85103811960"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="33920087" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=33920087&dopt=Abstract"> PubMed </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://www.mdpi.com/1424-8220/21/8/2666" target="_blank" href="https://www.mdpi.com/1424-8220/21/8/2666"> Other URL </a> </span> </span> </div> <div class="short-pub-prop-list"> <span class="short-pub-mtid"> Publication:32009471 </span> <span class="status-holder"><span class="status-data status-VALIDATED"> Validated </span></span> <span class="pub-core">Core Citing </span> <span class="pub-type">Journal Article (Survey paper ) </span> <!-- && !record.category.scientific --> <span class="pub-category">Scientific</span> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="" class="citingPub-count">Citing papers: 18</span> | Independent citation: 9 | Self citation: 9 | Unknown citation: 0 | Number of citations in WoS: 15 | Number of citations in Scopus: 14 | WoS/Scopus assigned: 18 | Number of citations with DOI: 18 </div> </div> </div> </div><div class="JournalArticle Publication long-list">
<div class="authors">
<img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png">
<img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png">
<div class="autype autype0"> <span class="author-name" mtid="10055417"><a
href="/gui2/?type=authors&mode=browse&sel=10055417" target="_blank">Nagyné Elek Renáta ✉
(<span class="authorship-author-name">Levendovics Renáta</span>
<span class="authorAux-mtmt"> Sebészeti robotika</span>)
</a>
</span>
<span class="author-affil"><span title="Óbuda University">ÓU</span>/<span title="Egyetemi Kutató, Innovációs és Szolgáltató Központ">EKIK</span>/Antal Bejczy Center for Intelligent Robotics; <span title="Óbuda University">ÓU</span>/Applied Informatics and Applied Mathematics Doctoral School</span>
;
<span class="author-name" mtid="10023855"><a
href="/gui2/?type=authors&mode=browse&sel=10023855" target="_blank">Haidegger Tamás
(<span class="authorship-author-name">Haidegger Tamás</span>
<span class="authorAux-mtmt"> orvosi robotika és mesterséges intelligencia</span>)
</a>
</span>
<span class="author-affil"><span title="Óbuda University">ÓU</span>/<span title="Egyetemi Kutató, Innovációs és Szolgáltató Központ">EKIK</span>/Antal Bejczy Center for Intelligent Robotics; <span title="Óbuda University">ÓU</span>/<span title="Neumann János Faculty of Informatics">NJFCS</span>/Biomatika és Alkalmazott Mesterséges Intelligencia Intézet</span>
</div>
</div>
<div class="title"><a href="/gui2/?mode=browse¶ms=publication;32009471" target="_blank">Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery</a></div> <div> <span class="journal-title">SENSORS</span>
<span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/1424-8220">1424-8220</a>)</span>:
<span class="journal-volume">21</span> <span class="journal-issue">8</span>
<span class="page">
Paper 2666.
23 p.
</span> <span class="year">(2021)</span>
</div>
<div class="pub-footer">
<span class="language" xmlns="http://www.w3.org/1999/html">Language:
English
| </span>
<span class="identifiers">
<span class="id identifier oa_GOLD" title=" Gold
">
<a style="color:blue" title="10.3390/s21082666" target="_blank" href="https://doi.org/10.3390/s21082666">
DOI
</a>
</span>
<span class="id identifier oa_none" title="none">
<a style="color:blue" title="000644788100001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/000644788100001">
WoS
</a>
</span>
<span class="id identifier oa_none" title="none">
<a style="color:blue" title="85103811960" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85103811960">
Scopus
</a>
</span>
<span class="id identifier oa_none" title="none">
<a style="color:blue" title="33920087" target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=33920087&dopt=Abstract">
PubMed
</a>
</span>
<span class="id identifier oa_none" title="none">
<a style="color:black" title="https://www.mdpi.com/1424-8220/21/8/2666" target="_blank" href="https://www.mdpi.com/1424-8220/21/8/2666">
Other URL
</a>
</span>
</span>
<div class="publication-citation" style="margin-left: 0.5cm;">
<span title="" class="citingPub-count">Citing papers: 18</span>
| Independent citation: 9
| Self citation: 9
| Unknown citation: 0
| Number of citations in WoS: 15
| Number of citations in Scopus: 14
| WoS/Scopus assigned: 18
| Number of citations with DOI: 18
</div>
<div class="publication-citation">
<a target="_blank" href="/api/publication?cond=citations.related;eq;32009471&sort=publishedYear,desc&sort=title">
Number of cited publications: 7
</a>
</div>
<div class="mtid"><span class="long-pub-mtid">Publication: 32009471</span>
| <span class="status-data status-VALIDATED"> Validated
</span>
Core Citing
| <span class="type-subtype">Journal Article
( Survey paper
)
</span>
| <span class="pub-category">Scientific</span>
| <span class="publication-sourceOfData">kézi felvitel</span>
</div>
<div class="lastModified">Last Modified: 2023.09.18. 09:11 Ágnes Szalóky-Siki (SE_KK_Admin5_SZSA, admin)
</div>
<pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Comments</u>: Funding Agency and Grant Number: European UnionEuropean Commission [EFOP-3.6.1-16-2016-00010]; New National Excellence Program of the Ministry of Human Capacities
Funding text: Authors thankfully acknowledge the financial support of this work by the Hungarian State and the European Union under the EFOP-3.6.1-16-2016-00010 project. T. Haidegger and R. Nagyne Elek are supported throug...</pre>
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