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For: Egger J, Gall M, Wallner J, Boechat P, Hann A, Li X, Chen X, Schmalstieg D. HTC Vive MeVisLab integration via OpenVR for medical applications. PLoS One 2017;12:e0173972. [PMID: 28323840 DOI: 10.1371/journal.pone.0173972] [Cited by in Crossref: 61] [Cited by in F6Publishing: 62] [Article Influence: 10.2] [Reference Citation Analysis]
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1 Frodl A, Lange T, Siegel M, Meine H, Taghizadeh E, Schmal H, Izadpanah K. Individual Influence of Trochlear Dysplasia on Patellofemoral Kinematics after Isolated MPFL Reconstruction. J Pers Med 2022;12. [PMID: 36556269 DOI: 10.3390/jpm12122049] [Reference Citation Analysis]
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7 Prieto Prada JD, Im J, Oh H, Song C. Enhanced location tracking in sensor fusion-assisted virtual reality micro-manipulation environments. PLoS One 2021;16:e0261933. [PMID: 34962969 DOI: 10.1371/journal.pone.0261933] [Reference Citation Analysis]
8 Chen Z, Wang Y, Li X, Wang K, Li Z, Yang P. An automatic measurement system of distal femur morphological parameters using 3D slicer software. Bone 2021;:116300. [PMID: 34958998 DOI: 10.1016/j.bone.2021.116300] [Reference Citation Analysis]
9 Yan Y, Zhang L, Chen M. AGRMTS : A virtual aircraft maintenance training system using gesture recognition based on PSO‐BPNN model. Comput Anim Virtual Worlds. [DOI: 10.1002/cav.2031] [Reference Citation Analysis]
10 Deng S, Wheeler G, Toussaint N, Munroe L, Bhattacharya S, Sajith G, Lin E, Singh E, Chu KYK, Kabir S, Pushparajah K, Simpson JM, Schnabel JA, Gomez A. A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures. J Imaging 2021;7:151. [PMID: 34460787 DOI: 10.3390/jimaging7080151] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
11 Memon AR, Li J, Egger J, Chen X. A review on patient-specific facial and cranial implant design using Artificial Intelligence (AI) techniques. Expert Rev Med Devices 2021;18:985-94. [PMID: 34404280 DOI: 10.1080/17434440.2021.1969914] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Brůža V, Byška J, Mičan J, Kozlíková B. VRdeo: Creating engaging educational material for asynchronous student-teacher exchange using virtual reality. Computers & Graphics 2021;98:280-92. [DOI: 10.1016/j.cag.2021.06.009] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
13 Lobachev O, Berthold M, Pfeffer H, Guthe M, Steiniger BS. Inspection of Histological 3D Reconstructions in Virtual Reality. Front Virtual Real 2021;2:628449. [DOI: 10.3389/frvir.2021.628449] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Pepe A, Trotta GF, Mohr-Ziak P, Gsaxner C, Wallner J, Bevilacqua V, Egger J. A Marker-Less Registration Approach for Mixed Reality-Aided Maxillofacial Surgery: a Pilot Evaluation. J Digit Imaging 2019;32:1008-18. [PMID: 31485953 DOI: 10.1007/s10278-019-00272-6] [Cited by in Crossref: 38] [Cited by in F6Publishing: 38] [Article Influence: 19.0] [Reference Citation Analysis]
15 Cai H, Lin T, Chen L, Weng H, Zhu R, Chen Y, Cai G. Evaluating the effect of immersive virtual reality technology on gait rehabilitation in stroke patients: a study protocol for a randomized controlled trial. Trials 2021;22:91. [PMID: 33494805 DOI: 10.1186/s13063-021-05031-z] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
16 Weyant EC, Carroll M, Walden RR. Lessons Learned: Medical Library Pilot Testing of a Virtual Reality Anatomy Lab. Journal of Electronic Resources in Medical Libraries 2021;18:20-34. [DOI: 10.1080/15424065.2021.1882920] [Reference Citation Analysis]
17 Lungu AJ, Swinkels W, Claesen L, Tu P, Egger J, Chen X. A review on the applications of virtual reality, augmented reality and mixed reality in surgical simulation: an extension to different kinds of surgery. Expert Rev Med Devices 2021;18:47-62. [PMID: 33283563 DOI: 10.1080/17434440.2021.1860750] [Cited by in Crossref: 31] [Cited by in F6Publishing: 25] [Article Influence: 10.3] [Reference Citation Analysis]
18 Tang FMK, Lee RMF, Szeto RHL, Cheung JCT, Ngan OMY. Experiential learning with virtual reality: animal handling training. Innov Educ 2020;2. [DOI: 10.1186/s42862-020-00007-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.7] [Reference Citation Analysis]
19 Almgoter HB, Al-dahan ZT. Development of a display system for visualization in medical Applications. J Phys : Conf Ser 2020;1660:012099. [DOI: 10.1088/1742-6596/1660/1/012099] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
20 Steiniger BS, Pfeffer H, Guthe M, Lobachev O. Exploring human splenic red pulp vasculature in virtual reality: details of sheathed capillaries and the open capillary network. Histochem Cell Biol 2021;155:341-54. [PMID: 33074357 DOI: 10.1007/s00418-020-01924-3] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
21 Isaac JHR, V. MK, M. M. Effect of Visual Awareness of the Real Hand on User Performance in Partially Immersive Virtual Environments: Presence of Virtual Kinesthetic Conflict. International Journal of Human–Computer Interaction 2020;36:1540-1550. [DOI: 10.1080/10447318.2020.1768667] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
22 Yang L, Pan Y, Lin J, Liu Y, Shang Y, Yang S, Cao H. Automatic Guidance Method for Laser Tracker Based on Rotary-Laser Scanning Angle Measurement. Sensors 2020;20:4168. [DOI: 10.3390/s20154168] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
23 Shi H, Ames J, Randles A. Harvis: an interactive virtual reality tool for hemodynamic modification and simulation. Journal of Computational Science 2020;43:101091. [DOI: 10.1016/j.jocs.2020.101091] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
24 Guo H, Sung Y. Movement Estimation Using Soft Sensors Based on Bi-LSTM and Two-Layer LSTM for Human Motion Capture. Sensors (Basel) 2020;20:E1801. [PMID: 32214039 DOI: 10.3390/s20061801] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 3.7] [Reference Citation Analysis]
25 Memon AR, Wang E, Hu J, Egger J, Chen X. A review on computer-aided design and manufacturing of patient-specific maxillofacial implants. Expert Rev Med Devices 2020;17:345-56. [PMID: 32105159 DOI: 10.1080/17434440.2020.1736040] [Cited by in Crossref: 26] [Cited by in F6Publishing: 20] [Article Influence: 8.7] [Reference Citation Analysis]
26 Chen L, Zhang F, Zhan W, Gan M, Sun L. Optimization of virtual and real registration technology based on augmented reality in a surgical navigation system. Biomed Eng Online 2020;19:1. [PMID: 31915014 DOI: 10.1186/s12938-019-0745-z] [Cited by in Crossref: 25] [Cited by in F6Publishing: 27] [Article Influence: 8.3] [Reference Citation Analysis]
27 Yang Z, Xiang D, Cheng Y. VR Panoramic Technology in Urban Rail Transit Vehicle Engineering Simulation System. IEEE Access 2020;8:140673-81. [DOI: 10.1109/access.2020.3009326] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
28 Heinrich F, Bornemann K, Lawonn K, Hansen C. Interacting with Medical Volume Data in Projective Augmented Reality. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 2020. [DOI: 10.1007/978-3-030-59716-0_41] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
29 Gsaxner C, Wallner J, Chen X, Zemann W, Egger J. Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery. Sci Data 2019;6:310. [PMID: 31819060 DOI: 10.1038/s41597-019-0327-8] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 2.0] [Reference Citation Analysis]
30 Wallner J, Schwaiger M, Hochegger K, Gsaxner C, Zemann W, Egger J. A review on multiplatform evaluations of semi-automatic open-source based image segmentation for cranio-maxillofacial surgery. Computer Methods and Programs in Biomedicine 2019;182:105102. [DOI: 10.1016/j.cmpb.2019.105102] [Cited by in Crossref: 20] [Cited by in F6Publishing: 14] [Article Influence: 5.0] [Reference Citation Analysis]
31 Brito CJDS, Mitchell K. Recycling a Landmark Dataset for Real-time Facial Capture and Animation with Low Cost HMD Integrated Cameras. The 17th International Conference on Virtual-Reality Continuum and its Applications in Industry 2019. [DOI: 10.1145/3359997.3365690] [Cited by in Crossref: 2] [Article Influence: 0.5] [Reference Citation Analysis]
32 Xu Z, Zhang H, Wei W, Yang Z. Virtual Scene Construction for Seismic Damage of Building Ceilings and Furniture. Applied Sciences 2019;9:3465. [DOI: 10.3390/app9173465] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
33 Yu H, Li S, Zhang T. An Interactive Visualization System for Near-Earth Space Exploration Data. IOP Conf Ser : Earth Environ Sci 2019;252:052102. [DOI: 10.1088/1755-1315/252/5/052102] [Reference Citation Analysis]
34 Wallner J, Mischak I, Jan Egger. Computed tomography data collection of the complete human mandible and valid clinical ground truth models. Sci Data 2019;6:190003. [PMID: 30694227 DOI: 10.1038/sdata.2019.3] [Cited by in Crossref: 18] [Cited by in F6Publishing: 19] [Article Influence: 4.5] [Reference Citation Analysis]
35 Qin Z, Tai Y, Xia C, Peng J, Huang X, Chen Z, Li Q, Shi J. Towards Virtual VATS, Face, and Construct Evaluation for Peg Transfer Training of Box, VR, AR, and MR Trainer. J Healthc Eng 2019;2019:6813719. [PMID: 30723539 DOI: 10.1155/2019/6813719] [Cited by in Crossref: 13] [Cited by in F6Publishing: 14] [Article Influence: 3.3] [Reference Citation Analysis]
36 Snarby H, Gåsbakk T, Prasolova-førland E, Steinsbekk A, Lindseth F. Procedural Medical Training in VR in a Smart Virtual University Hospital. Smart Education and e-Learning 2018 2019. [DOI: 10.1007/978-3-319-92363-5_12] [Reference Citation Analysis]
37 Laurijssen D, Saeys W, Truijen S, Daems W, Steckel J. Synchronous Wireless Body Sensor Network Enabling Human Body Pose Estimation. IEEE Access 2019;7:49341-51. [DOI: 10.1109/access.2019.2910636] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.3] [Reference Citation Analysis]
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41 Shattuck DW. Multiuser virtual reality environment for visualising neuroimaging data. Healthc Technol Lett 2018;5:183-8. [PMID: 30464851 DOI: 10.1049/htl.2018.5077] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 1.8] [Reference Citation Analysis]
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44 Kyritsis AI, Deriaz M, Konstantas D. Considerations for the Design of an Activity Recognition System Using Inertial Sensors. 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom) 2018. [DOI: 10.1109/healthcom.2018.8531145] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 0.6] [Reference Citation Analysis]
45 Yang X, Lin L, Cheng P, Yang X, Ren Y, Huang Y. Examining creativity through a virtual reality support system. Education Tech Research Dev 2018;66:1231-54. [DOI: 10.1007/s11423-018-9604-z] [Cited by in Crossref: 56] [Cited by in F6Publishing: 32] [Article Influence: 11.2] [Reference Citation Analysis]
46 Wallner J, Hochegger K, Chen X, Mischak I, Reinbacher K, Pau M, Zrnc T, Schwenzer-Zimmerer K, Zemann W, Schmalstieg D, Egger J. Clinical evaluation of semi-automatic open-source algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action. PLoS One 2018;13:e0196378. [PMID: 29746490 DOI: 10.1371/journal.pone.0196378] [Cited by in Crossref: 22] [Cited by in F6Publishing: 23] [Article Influence: 4.4] [Reference Citation Analysis]
47 Yang X, Cheng P, Lin L, Huang YM, Ren Y. Can an Integrated System of Electroencephalography and Virtual Reality Further the Understanding of Relationships Between Attention, Meditation, Flow State, and Creativity? Journal of Educational Computing Research 2018;57:846-76. [DOI: 10.1177/0735633118770800] [Cited by in Crossref: 17] [Cited by in F6Publishing: 14] [Article Influence: 3.4] [Reference Citation Analysis]
48 Pfeiffer M, Kenngott H, Preukschas A, Huber M, Bettscheider L, Müller-Stich B, Speidel S. IMHOTEP: virtual reality framework for surgical applications. Int J Comput Assist Radiol Surg 2018;13:741-8. [PMID: 29551011 DOI: 10.1007/s11548-018-1730-x] [Cited by in Crossref: 19] [Cited by in F6Publishing: 10] [Article Influence: 3.8] [Reference Citation Analysis]
49 Jakse N, Egger J, Pfarrkirchner B, Gsaxner C, Lindner L, Schmalstieg D, Wallner J. Lower jawbone data generation for deep learning tools under MeVisLab. Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging 2018. [DOI: 10.1117/12.2292708] [Reference Citation Analysis]
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51 Egger J, Gunacker S, Gall M, Schmalstieg D. Multi-threaded integration of HTC-Vive and MeVisLab. Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications 2018. [DOI: 10.1117/12.2292718] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
52 Pfarrkirchner B, Gsaxner C, Schmalsteig D, Egger J, Lindner L. TuMore: generation of synthetic brain tumor MRI data for deep learning based segmentation approaches. Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications 2018. [DOI: 10.1117/12.2315704] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
53 Steiniger BS, Ulrich C, Berthold M, Guthe M, Lobachev O. Capillary networks and follicular marginal zones in human spleens. Three-dimensional models based on immunostained serial sections. PLoS One 2018;13:e0191019. [PMID: 29420557 DOI: 10.1371/journal.pone.0191019] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 1.8] [Reference Citation Analysis]
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56 Hann A, Bettac L, Haenle MM, Graeter T, Berger AW, Dreyhaupt J, Schmalstieg D, Zoller WG, Egger J. Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound. Sci Rep 2017;7:12779. [PMID: 28986569 DOI: 10.1038/s41598-017-12925-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
57 Esmaeili H, Thwaites H, Woods PC. Immersive virtual environments for tacit knowledge transfer focusing on gestures: A workflow. 2017 23rd International Conference on Virtual System & Multimedia (VSMM) 2017. [DOI: 10.1109/vsmm.2017.8346255] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
58 Egger J, Wallner J, Gall M, Chen X, Schwenzer-Zimmerer K, Reinbacher K, Schmalstieg D. Computer-aided position planning of miniplates to treat facial bone defects. PLoS One 2017;12:e0182839. [PMID: 28817607 DOI: 10.1371/journal.pone.0182839] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 1.7] [Reference Citation Analysis]
59 Egger J, Schmalstieg D, Bettac L, Hanle M, Hann A, Chen X, Grater T, Egger J, Zoller WG, Hann A. In-depth assessment of an interactive graph-based approach for the segmentation for pancreatic metastasis in ultrasound acquisitions of the liver with two specialists in Internal Medicine. 2017 10th Biomedical Engineering International Conference (BMEiCON) 2017. [DOI: 10.1109/bmeicon.2017.8229099] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.2] [Reference Citation Analysis]
60 Burdea GC, Polistico K. A review of integrative virtual reality games for rehabilitation. 2017 E-Health and Bioengineering Conference (EHB) 2017. [DOI: 10.1109/ehb.2017.7995528] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]