Ackerman JD, Keller K, Fuchs H (2002) Surface reconstruction of abdominal organs using laparoscopic structured light for augmented reality. In: Electronic Imaging 2002, pp 39–46. International Society for Optics and Photonics
Agrawal M, Konolige K, Blas MR (2008) CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching. In: Computer Vision – ECCV 2008, no. 5305 in LNCS, pp 102–115. Springer
Ahmadi SA, Sielhorst T, Stauder R, Horn M, Feussner H, Navab N (2006) Recovery of Surgical Workflow Without Explicit Models. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006, no. 4190 in LNCS, pp 420–428. Springer
Alexandre L, Nobre N, Casteleiro J (2008) Color and Position versus Texture Features for Endoscopic Polyp Detection. In: Int’l Conf on BioMedical Engineering and Informatics. BMEI 2008, vol 2, pp 38–42
Allan M, Ourselin S, Thompson S, Hawkes D, Kelly J, Stoyanov D (2013) Toward Detection and Localization of Instruments in Minimally Invasive Surgery. IEEE Trans Biomed Eng 60(4):1050–1058
Article
Google Scholar
Ameling S, Wirth S, Paulus D, Lacey G, Vilarino F (2009) Texture-based polyp detection in colonoscopy. In: Bildverarbeitung für die Medizin 2009, pp 346–350. Springer
Amir-Khalili A, Peyrat JM, Hamarneh G, Abugharbieh R (2013) 3d Surface Reconstruction of Organs Using Patient-Specific Shape Priors in Robot-Assisted Laparoscopic Surgery. In: Abdominal Imaging. Computation and Clinical Appl., no. 8198 in LNCS, pp 184–193. Springer
Arnold M, Ghosh A, Ameling S, Lacey G (2010) Automatic Segmentation and Inpainting of Specular Highlights for Endoscopic Imaging. EURASIP Journal on Image and Video Processing:1–12
Arnold M, Ghosh A, Lacey G, Patchett S, Mulcahy H (2009) Indistinct Frame Detection in Colonoscopy Videos. In: Machine Vision and Image Processing Conf, 2009. IMVIP ’09. 13th International, pp 47–52
Atasoy S, Mateus D, Lallemand J, Meining A, Yang GZ, Navab N (2010) Endoscopic video manifolds. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010:437–445
Article
Google Scholar
Barreto J, Roquette J, Sturm P, Fonseca F (2009) Automatic Camera Calibration Applied to Medical Endoscopy. In: 20th British Machine Vision Conference (BMVC ’09)
Barreto J, Swaminathan R, Roquette J (2007) Non Parametric Distortion Correction in Endoscopic Medical Images. In: 3DTV Conference, 2007, pp 1–4
Bashar M, Kitasaka T, Suenaga Y, Mekada Y, Mori K (2010) Automatic detection of informative frames from wireless capsule endoscopy images. Med Image Anal 14(3):449–470
Article
Google Scholar
Baumhauer M, Feuerstein M, Meinzer HP, Rassweiler J (2008) Navigation in Endoscopic Soft Tissue Surgery: Perspectives and Limitations. J Endourol 22(4):751–766
Article
Google Scholar
Bay H, Tuytelaars T, Gool LV (2006) SURF: Speeded Up Robust Features. In: Computer Vision – ECCV 2006, no. 3951 in LNCS, pp 404–417. Springer
Beecks C, Schoeffmann K, Lux M, Uysal MS, Seidl T (2015) Endoscopic Video Retrieval: A Signature-based Approach for Linking Endoscopic Images with Video Segments. In: IEEE Int’l Symposium on Multimedia. ISM, Miami
Behrens A, Takami M, Gross S, Aach T (2011) Gap detection in endoscopic video sequences using graphs. In: 2011 Annual Int’l Conf of the IEEE Engineering in Medicine and Biology Soc, pp 6635–6638
Béjar Haro B, Zappella L, Vidal R (2012) Surgical Gesture Classification from Video Data. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012:34–41
Google Scholar
Bergen T, Wittenberg T (2014) Stitching and Surface Reconstruction from Endoscopic Image Sequences: A Review of Applications and Methods. IEEE Journal of Biomedical and Health Informatics PP(99):1–1
Google Scholar
Bernal J, Gil D, Sánchez C, Sánchez FJ (2014) Discarding Non Informative Regions for Efficient Colonoscopy Image Analysis. In: Computer-Assisted and Robotic Endoscopy, LNCS, pp 1–10. Springer
Bernal J, Sánchez J, Vilariño F (2012) Towards automatic polyp detection with a polyp appearance model. Pattern Recogn 45(9):3166–3182
Article
Google Scholar
Bernhardt S, Abi-Nahed J, Abugharbieh R (2013) Robust dense endoscopic stereo reconstruction for minimally invasive surgery. In: Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging. Springer, pp 254–262
Bichlmeier C, Heining SM, Feuerstein M, Navab N (2009) The Virtual Mirror: A New Interaction Paradigm for Augmented Reality Environments. IEEE Trans Med Imaging 28(9):1498–1510
Article
Google Scholar
Bilodeau GA, Shu Y, Cheriet F (2006) Multistage graph-based segmentation of thoracoscopic images. Comput Med Imaging Graph 30(8):437–446
Article
Google Scholar
Blum T, Feußner H, Navab N. (2010) Modeling and segmentation of surgical workflow from laparoscopic video. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010:400–407
Article
Google Scholar
Bouarfa L, Akman O, Schneider A, Jonker PP, Dankelman J (2012) In-vivo real-time tracking of surgical instruments in endoscopic video. Minim Invasive Ther Allied Technol 21(3):129–134
Article
Google Scholar
Braga J, Laranjo I, Assunção D, Rolanda C, Lopes L, Correia-Pinto J, Alves V (2013) Endoscopic Imaging Results: Web based Solution with Video Diffusion. Procedia Technol 9:1123–1131
Article
Google Scholar
Braga J, Laranjo I, Rolanda C, Lopes L, Correia-Pinto J, Alves V (2014) A Novel Approach to Endoscopic Exams Archiving. In: New Perspectives in Information Systems and Technologies, Volume 1, no. 275 in Advances in Intelligent Systems and Computing. Springer, pp 239–248
Buck SD, Cleynenbreugel JV, Geys I, Koninckx T, Koninck PR, Suetens P (2001) A System to Support Laparoscopic Surgery by Augmented Reality Visualization. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001, no. 2208 in LNCS, pp 691–698. Springer
Burschka D, Corso JJ, Dewan M, Lau W, Li M, Lin H, Marayong P, Ramey N, Hager GD, Hoffman B et al (2005) Navigating inner space: 3-D assistance for minimally invasive surgery. Robot Auton Syst 52(1):5–26
Article
Google Scholar
Burschka D, Li M, Ishii M, Taylor RH, Hager GD (2005) Scale-invariant registration of monocular endoscopic images to CT-scans for sinus surgery. Med Image Anal 9(5):413–426
Article
Google Scholar
Calonder M, Lepetit V, Strecha C, Fua P (2010) BRIEF: Binary Robust Independent Elementary Features. Springer
Cano A, Gayá F, Lamata P, Sánchez-González P, Gómez E (2008) Laparoscopic tool tracking method for augmented reality surgical applications. Biomedical Simulation:191–196
Cao Y, Liu D, Tavanapong W, Wong J, Oh J, de Groen P (2007) Computer-Aided Detection of Diagnostic and Therapeutic Operations in Colonoscopy Videos. IEEE Trans Biomed Eng 54(7):1268–1279
Article
Google Scholar
Cao Y, Tavanapong W, Li D, Oh J, Groen PCD, Wong J (2004) A Visual Model Approach for Parsing Colonoscopy Videos. In: Image and Video Retrieval, no. 3115 in LNCS, pp 160–169. Springer
Casals A, Amat J, Laporte E (1996) Automatic guidance of an assistant robot in laparoscopic surgery. In: IEEE International Conference on Robotics and Automation, pp 895–900
Chattopadhyay T, Chaki A, Bhowmick B, Pal A (2008) An application for retrieval of frames from a laparoscopic surgical video based on image of query instrument. In: TENCON 2008-2008 IEEE Region 10 Conference, pp 1–5
Chhatkuli A, Bartoli A, Malti A, Collins T (2014) Live image parsing in uterine laparoscopy. In: IEEE International Symposium on Biomedical Imaging (ISBI)
Chowdhury M, Kundu MK (2015) Endoscopic Image Retrieval System Using Multi-scale Image Features. In: Proceedings of the 2Nd International Conference on Perception and Machine Intelligence, PerMIn ’15. ACM, New York, NY, USA, pp 64-70
Google Scholar
Chu X, Poh C, Li L, Chan K, Yan S, Shen W, Htwe T, Liu J, Lim J, Ong E, Ho K (2010) Epitomized Summarization of Wireless Capsule Endoscopic Videos for Efficient Visualization. In: MICCAI 2010, no. 6362 in LNCS, pp 522–529. Springer
Climent J, Hexsel RA (2012) Particle filtering in the Hough space for instrument tracking. Comput Biol Med 42(5):614–623
Article
Google Scholar
Collins T, Bartoli A (2012) 3d reconstruction in laparoscopy with close-range photometric stereo. In: Medical Image Computing and Computer-Assisted Intervention-MICCAI 2012. Springer, pp 634–642
Collins T, Bartoli A (2012) Towards Live Monocular 3d Laparoscopy Using Shading and Specularity Information. In: Inf. Proc. in Computer-Assisted Interventions, no. 7330 in LNCS, pp 11–21. Springer
Collins T, Compte B, Bartoli A (2011) Deformable shape-from-motion in laparoscopy using a rigid sliding window. In: Medical Image Understanding and Analysis Conference
Collins T, Pizarro D, Bartoli A, Canis M, Bourdel N (2014) Computer-Assisted Laparoscopic myomectomy by augmenting the uterus with pre-operative MRI data. In: 2014 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp 243–248
Cunha J, Coimbra M, Campos P, Soares J (2008) Automated Topographic Segmentation and Transit Time Estimation in Endoscopic Capsule Exams. IEEE Trans. Med. Imaging 27(1):19–27
Article
Google Scholar
Dahyot R, Vilariño F, Lacey G. (2008) Improving the Quality of Color Colonoscopy Videos. EURASIP Journal on Image and Video Processing 2008:1–7
Article
Google Scholar
Deguchi D, Mori K, Feuerstein M, Kitasaka T, Maurer Jr. CR, Suenaga Y, Takabatake H, Mori M, Natori H (2009) Selective image similarity measure for bronchoscope tracking based on image registration. Med Image Anal 13(4):621–633
Article
Google Scholar
Dhandra BV, Hegadi R, Hangarge M, Malemath VS (2006) Analysis of abnorMality in endoscopic images using combined hsi color space and watershed segmentation. In: 18th International Conference on Pattern Recognition, 2006, vol 4, ICPR 2006. pp 695–698
Dickens M, Bornhop DJ, Mitra S (1998) Removal of optical fiber interference in color micro-endoscopic images. In: 11th IEEE Symposium on Computer-Based Medical Systems, pp 246–251
Dixon B, Daly M, Chan H, Vescan A, Witterick I, Irish J (2013) Surgeons blinded by enhanced navigation: the effect of augmented reality on attention. Surg Endosc 27(2):454–461
Article
Google Scholar
Doignon C, Nageotte F, de Mathelin M (2006) The role of insertion points in the detection and positioning of instruments in laparoscopy for robotic tasks. MICCAI:527–534
Doignon C, Nageotte F, de Mathelin M (2007) Segmentation and Guidance of Multiple Rigid Objects for Intra-operative Endoscopic Vision. In: Proceedings of the 2005/2006 International Conference on Dynamical Vision, WDV’05/WDV’06/ICCV’05/ECCV’06, pp 314–327. Springer-Verlag, Berlin, Heidelberg
Google Scholar
Doignon C, Nageotte F, Maurin B, Krupa A (2008) Pose Estimation and Feature Tracking for Robot Assisted Surgery with Medical Imaging. In: Unifying Perspectives in Computational and Robot Vision, no. 8 in Lecture Notes in Electrical Engineering, pp 79–101. Springer, USA
Chapter
Google Scholar
Duda K, Zielinski T, Duplaga M (2008) Computationally simple Super-Resolution algorithm for video from endoscopic capsule. In: Int’l Conf. on Signals and Electronic Systems, 2008. ICSES ’08, pp 197–200
Duplaga M, Leszczuk M, Papir Z, Przelaskowski A (2008) Evaluation of Quality Retaining Diagnostic Credibility for Surgery Video Recordings. In: Visual Information Systems. Web-Based Visual Information Search and Management, no. 5188 in LNCS, pp 227–230. Springer
Elter M, Rupp S, Winter C (2006) Physically Motivated Reconstruction of Fiberscopic Images. In: 18th International Conference on Pattern Recognition, 2006. ICPR 2006, vol 3, pp 599–602
Forestier G, Lalys F, Riffaud L, Trelhu B, Jannin P (2012) Classification of surgical processes using dynamic time warping. J Biomed Inform 45(2):255–264
Article
Google Scholar
Fuchs H, Livingston MA, Raskar R, State A, Crawford JR, Rademacher P, Drake SH, Meyer AA (1998) Augmented reality visualization for laparoscopic surgery. In: Proceedings of the 1st Int’l Conf. on Medical Image Computing and Computer-Assisted Intervention. Springer, pp 934–943
Fukuda N, Chen YW, Nakamoto M, Okada T, Sato Y (2010) A scope cylinder rotation tracking method for oblique-viewing endoscopes without attached sensing device. In: 2010 2nd International Conference on Software Engineering and Data Mining (SEDM), pp 684–687
Gambadauro P, Magos A (2012) Surgical Videos for Accident Analysis, Performance Improvement, and Complication Prevention: Time for a Surgical Black Box? Surg Innov 19(1):76–80
Article
Google Scholar
Gavião W, Scharcanski J, Frahm JM, Pollefeys M (2012) Hysteroscopy video summarization and browsing by estimating the physician’s attention on video segments. Med Image Anal 16(1):160–176
Article
Google Scholar
Geng J, Xie J (2014) Review of 3-D Endoscopic Surface Imaging Techniques. IEEE Sensors J 14(4):945–960
Article
Google Scholar
Giannarou S, Visentini-Scarzanella M, Yang GZ (2009) Affine-invariant anisotropic detector for soft tissue tracking in minimally invasive surgery. In: From Nano to Macro, 2009. ISBI’09. IEEE International Symposium on Biomedical Imaging, pp 1059–1062
Giannarou S, Yang GZ (2010) Content-Based Surgical Workflow Representation Using Probabilistic Motion Modeling. In: Med. Imaging and Aug. Reality, no. 6326 in LNCS, pp 314–323. Springer
Giritharan B, Yuan X, Liu J, Buckles B, Oh J, Tang S (2008) Bleeding detection from capsule endoscopy videos. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008. EMBS 2008, pp 4780–4783
Grasa O, Civera J, Montiel JMM (2011) EKF monocular SLAM with relocalization for laparoscopic sequences. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp 4816–4821
Grega M, Leszczuk M, Duplaga M, Fraczek R (2010) Algorithms for Automatic Recognition of Non-informative Frames in Video Recordings of Bronchoscopic Procedures. In: Information Technologies in Biomedicine, Advances in Intelligent and Soft Computing, vol 69. Springer, pp 535–545
Groch A, Seitel A, Hempel S, Speidel S, Engelbrecht R, Penne J, Höller K, Röhl S, Yung K, Bodenstedt S, Pflaum F, dos Santos TR, Mersmann S, Meinzer HP, Hornegger J, Maier-Hein L. (2011) 3d surface reconstruction for laparoscopic computer-assisted interventions: comparison of state-of-the-art methods. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conf Series, vol 7964, p 796415
Gröger M, Ortmaier T, Hirzinger G (2005) Structure Tensor Based Substitution of Specular Reflections for Improved Heart Surface Tracking. In: Bildverarbeitung f. d. Medizin 2005, Informatik aktuell. Springer, pp 242–246
Gröger M, Sepp W, Ortmaier T, Hirzinger G (2001) Reconstruction of Image Structure in Presence of Specular Reflections. In: Proceedings of the 23rd DAGM-Symp. on Pattern Recognition. Springer, pp 53–60
Gschwandtner M, Liedlgruber M, Uhl A, Vécsei A (2010) Experimental study on the impact of endoscope distortion correction on computer-assisted celiac disease diagnosis. In: 2010 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), pp 1–6
Guggenberger M, Riegler M, Lux M, Halvorsen P (2014) Event Understanding in Endoscopic Surgery Videos. In: Proceedings of the 1st ACM International Workshop on Human Centered Event Understanding from Multimedia, HuEvent ’14, pp 17–22. ACM, New York, NY, USA
Google Scholar
Guthart G, Salisbury Jr JK (2000) The IntuitiveTM Telesurgery System: Overview and Application. In: ICRA, pp 618–621
Hafner M, Liedlgruber M, Uhl A (2013) POCS-based super-resolution for HD endoscopy video frames. In: 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), pp 185–190
Hafner M, Liedlgruber M, Uhl A, Wimmer G (2014) Evaluation of super-resolution methods in the context of colonic polyp classification. In: 12th Int’l Workshop on Content-Based Multimedia Indexing
Helferty JP, Zhang C, McLennan G, Higgins WE (2001) Videoendoscopic distortion correction and its application to virtual guidance of endoscopy. IEEE Trans Med Imaging 20(7):605–617
Article
Google Scholar
Hernández-Mier Y, Blondel W, Daul C, Wolf D, Guillemin F (2010) Fast construction of panoramic images for cystoscopic exploration. Comput Med Imaging Graph 34(7):579–592
Article
Google Scholar
Higgins WE, Helferty JP, Lu K, Merritt SA, Rai L, Yu KC (2008) 3d CT-Video Fusion for Image-Guided Bronchoscopy. Comput Med Imaging Graph 32(3):159–173
Article
Google Scholar
Holler K, Penne J, Hornegger J, Schneider A, Gillen S, Feussner H, Jahn J, Gutierrez J, Wittenberg T (2009) Clinical evaluation of Endorientation: Gravity related rectification for endoscopic images. In: Proceedings of 6th Int’l Symp. on Image and Signal Processing and Analysis, ISPA 2009, pp 713–717
Hu M, Penney G, Figl M, Edwards P, Bello F, Casula R, Rueckert D, Hawkes D (2012) Reconstruction of a 3d surface from video that is robust to missing data and outliers: Application to minimally invasive surgery using stereo and mono endoscopes. Med Image Anal 16(3):597–611
Article
Google Scholar
Hughes-Hallett A, Mayer EK, Marcus HJ, Cundy TP, Pratt PJ, Darzi AW, Vale JA (2014) Augmented Reality Partial Nephrectomy: Examining the Current Status and Future Perspectives. Urology 83(2):266–273
Article
Google Scholar
Hwang S, Celebi M (2010) Polyp detection in Wireless Capsule Endoscopy videos based on image segmentation and geometric feature. In: 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), pp 678–681
Hwang S, Oh JH, Lee JK, Cao Y, Tavanapong W, Liu D, Wong J, de Groen PC (2005) Automatic measurement of quality metrics for colonoscopy videos. In: Proceedings of the 13th annual ACM international conference on Multimedia, pp 912–921
Hwang S, Oh JH, Tavanapong W, Wong J, de Groen PC (2008) Stool detection in colonoscopy videos. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008. EMBS 2008. pp 3004–3007
Iakovidis DK, Maroulis DE, Karkanis SA, Brokos A (2005) A comparative study of texture features for the discrimination of gastric polyps in endoscopic video. In: Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems, pp 575–580
Iakovidis DK, Tsevas S, Polydorou A (2010) Reduction of capsule endoscopy reading times by unsupervised image mining. Comput Med Imaging Graph 34(6):471–478
Article
Google Scholar
Ieiri S, Uemura M, Konishi K, Souzaki R, Nagao Y, Tsutsumi N, Akahoshi T, Ohuchida K, Ohdaira T, Tomikawa M, Tanoue K , Hashizume M, Taguchi T (2012) Augmented reality navigation system for laparoscopic splenectomy in children based on preoperative CT image using optical tracking device. Pediatr Surg Int 28(4):341–346
Article
Google Scholar
Jun SK, Narayanan M, Agarwal P, Eddib A, Singhal P, Garimella S, Krovi V (2012) Robotic Minimally Invasive Surgical skill assessment based on automated video-analysis motion studies. In: 2012 4th IEEE RAS EMBS Int’l Con. on Biomedical Robotics and Biomechatronics (BioRob), pp 25–31
Kallemeyn NA, Grosland NM, Magnotta VA, Martin JA, Pedersen DR (2007) Arthroscopic Lens Distortion Correction Applied to Dynamic Cartilage Loading. Iowa Orthop J 27:52–57
Google Scholar
Kanaya J, Koh E, Namiki M, Yokawa H, Kimura H, Abe K (2008) A system for detecting locations of oversight in cystoscopy. In: Proceedings of the 9th Asia Pacific Industrial Engineering & Management Systems Conf., pp 2388–2392
Karargyris A, Bourbakis N (2010) Wireless Capsule Endoscopy and Endoscopic Imaging: A Survey on Various Methodologies Presented. IEEE Eng Med Biol Mag 29(1):72–83
Article
Google Scholar
Karkanis S, Iakovidis D, Maroulis D, Karras D, Tzivras M (2003) Computer-aided tumor detection in endoscopic video using color wavelet features. IEEE Trans Inf Technol Biomed 7(3):141–152
Article
Google Scholar
Katić D, Wekerle AL, Gärtner F, Kenngott HG, Müller-Stich BP, Dillmann R., Speidel S. (2014) Knowledge-Driven ForMalization of Laparoscopic Surgeries for Rule-Based Intraoperative Context-Aware Assistance. In: Information Processing in Computer-Assisted Interventions, no. 8498 in LNCS. Springer, pp 158–167
Katić D, Wekerle AL, Görtler J, Spengler P, Bodenstedt S, Röhl S, Suwelack S, Kenngott HG, Wagner M, Müller-Stich BP, Dillmann R, Speidel S (2013) Context-aware Augmented Reality in laparoscopic surgery. Comput Med Imaging Graph 37(2):174–182
Article
Google Scholar
Kelley WE (2008) The Evolution of Laparoscopy and the Revolution in Surgery in the Decade of the 1990s. JSLS : Journal of the Society of Laparoendoscopic Surgeons 12(4):351–357
MathSciNet
Google Scholar
Khatibi T, Sepehri MM, Shadpour P (2014) A Novel Unsupervised Approach for Minimally-invasive Video Segmentation. Journal of Medical Signals and Sensors 4 (1):53–71
Google Scholar
Klank U, Padoy N, Feussner H, Navab N (2008) Automatic feature generation in endoscopic images. Int J Comput Assist Radiol Surg 3(3–4):331–339
Article
Google Scholar
Ko SY, Lee WJ, Kwon DS (2010) Intelligent interaction based on a surgery task model for a surgical assistant robot: Awareness of current surgical stages based on a surgical procedure model. Int J Control Autom Syst 8(4):782–792
Article
Google Scholar
Kondo W, Zomer MT (2014) Video recording the Laparoscopic Surgery for the Treatment of Endometriosis should be Systematic!. Gynecol Obstet 04(04)
Koninckx PR (2008) Videoregistration of Surgery Should be Used as a Quality Control. J Minim Invasive Gynecol 15(2):248–253
Article
Google Scholar
Koppel D, Wang YF, Lee H (2004) Image-based rendering and modeling in video-endoscopy. In: IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2004, vol 1, pp 269–272
Kranzfelder M, Schneider A, Fiolka A, Schwan E, Gillen S, Wilhelm D, Schirren R, Reiser S, Jensen B, Feussner H (2013) Real-time instrument detection in minimally invasive surgery using radiofrequency identification technology. J Surg Res 185(2):704–710
Article
Google Scholar
Krizhevsky A, Sutskever I, Hinton GE (2012) Imagenet classification with deep convolutional neural networks. In: Advances in neural information processing systems, pp 1097–1105
Krupa A, Gangloff J, Doignon C, de Mathelin M, Morel G, Leroy J, Soler L, Marescaux J (2003) Autonomous 3-d positioning of surgical instruments in robotized laparoscopic surgery using visual servoing. IEEE Trans Robot Autom 19(5):842–853
MATH
Article
Google Scholar
Kumar A, Kim J, Cai W, Fulham M, Feng D (2013) Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data. J Digit Imaging 26(6):1025–1039
Article
Google Scholar
Kumar S, Narayanan M, Singhal P, Corso J, Krovi V (2013) Product of tracking experts for visual tracking of surgical tools. In: 2013 IEEE International Conference on Automation Science and Engineering (CASE), pp 480–485
Kumar S, Narayanan M, Singhal P, Corso J, Krovi V (2014) Surgical tool attributes from monocular video. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp 4887–4892
Lahane A, Yesha Y, Grasso MA, Joshi A, Martineau J, Mokashi R, Chapman D, Grasso MA, Brady M, Yesha Y et al (2011) Detection of Unsafe Action from Laparoscopic Cholecystectomy Video. In: Proceedings of ACM SIGHIT International Health Informatics Symposium, vol 47, pp 114–122
Lalys F, Jannin P (2014) Surgical process modelling: a review. Int J Comput Assist Radiol Surg 9(3):495–511
Article
Google Scholar
Lalys F, Riffaud L, Morandi X, Jannin P (2011) Surgical phases detection from microscope videos by combining SVM and HMM. In: Proceedings of the 2010 Int’l MICCAI conference on Medical computer vision: recognition techniques and applications in medical imaging, MCV’10. Springer, pp 54–62
Laranjo I, Braga J, Assunção D, Silva A, Rolanda C, Lopes L, Correia-Pinto J, Alves V (2013) Web-Based Solution for Acquisition, Processing, Archiving and Diffusion of Endoscopy Studies. In: Distributed Computing and Artificial Intelligence, no. 217 in AISC, pp 317–324. Springer
Lau WY, Leow CK, Li AKC (1997) History of Endoscopic and Laparoscopic Surgery. World J Surg 21(4):444–453
Article
Google Scholar
Lee J, Oh J, Shah SK, Yuan X, Tang SJ (2007) Automatic classification of digestive organs in wireless capsule endoscopy videos. In: Proce. of the 2007 ACM Symp. on Applied Computing, SAC ’07. ACM, pp 1041–1045
Lee SL, Lerotic M, Vitiello V, Giannarou S, Kwok KW, Visentini-Scarzanella M, Yang GZ (2010) From medical images to minimally invasive intervention: Computer assistance for robotic surgery. Comput Med Imaging Graph 34(1):33–45
Article
Google Scholar
Leong JJ, Nicolaou M, Atallah L, Mylonas GP, Darzi AW, Yang GZ (2006) HMM assessment of quality of movement trajectory in laparoscopic surgery. In: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006, pp 752–759. Springer
Leszczuk MI, Duplaga M (2011) Algorithm for Video Summarization of Bronchoscopy Procedures. BioMedical Engineering OnLine 10(1):110
Article
Google Scholar
Li B, Meng MH (2012) Tumor Recognition in Wireless Capsule Endoscopy Images Using Textural Features and SVM-Based Feature Selection. IEEE Trans Inf Technol Biomed 16(3):323–329
Article
Google Scholar
Li B, Meng MH (2009) Computer-Aided Detection of Bleeding Regions for Capsule Endoscopy Images. IEEE Trans Biomed Eng 56(4):1032–1039
Article
Google Scholar
Liao H, Tsuzuki M, Mochizuki T, Kobayashi E, Chiba T, Sakuma I (2009) Fast image mapping of endoscopic image mosaics with three-dimensional ultrasound image for intrauterine fetal surgery. Minimally invasive therapy & allied technologies: MITAT: official journal of the Society for Minimally Invasive Therapy 18(6):332–340
Article
Google Scholar
Liao R, Zhang L, Sun Y, Miao S, Chefd’hotel C (2013) A Review of Recent Advances in Registration Techniques Applied to Minimally Invasive Therapy. IEEE Trans Multimedia 15(5):983–1000
Article
Google Scholar
Liedlgruber M, Uhl A (2011) Computer-Aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review. IEEE Rev Biomed Eng 4:73–88
Article
Google Scholar
Liedlgruber M, Uhl A, Vecsei A (2011) Statistical analysis of the impact of distortion (correction) on an automated classification of celiac disease. In: 2011 17th Int’l Conf. on Digital Signal Processing, pp 1–6
Lin HC, Shafran I, Yuh D, Hager GD (2006) Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions. Comput Aided Surg 11(5):220–230
Article
Google Scholar
Liu D, Cao Y, Kim KH, Stanek S, Doungratanaex-Chai B, Lin K, Tavanapong W, Wong J, Oh J, de Groen PC (2007) Arthemis: Annotation software in an integrated capturing and analysis system for colonoscopy. Comput Methods Prog Biomed 88(2):152–163
Article
Google Scholar
Liu D, Cao Y, Tavanapong W, Wong J, Oh JH, de Groen PC (2007) Quadrant coverage histogram: a new method for measuring quality of colonoscopic procedures. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. EMBS 2007, pp 3470–3473
Lo B, Scarzanella MV, Stoyanov D, Yang GZ (2008) Belief Propagation for Depth Cue Fusion in Minimally Invasive Surgery. In: MICCAI 2008, no. 5242 in LNCS, pp 104–112. Springer
Lokoč J, Schoeffmann K, del Fabro M (2015) Dynamic Hierarchical Visualization of Keyframes in Endoscopic Video. In: MultiMedia Modeling, no. 8936 in LNCS, pp 291–294. Springer
Loukas C, Georgiou E (2015) Smoke detection in endoscopic surgery videos: a first step towards retrieval of semantic events. Int J Med Rob Comput Assisted Surg 11(1):80–94
Article
Google Scholar
Lowe DG (2004) Distinctive Image Features from Scale-Invariant Keypoints. Int J Comput Vis 60(2):91–110
Article
Google Scholar
Luó X, Feuerstein M, Deguchi D, Kitasaka T, Takabatake H, Mori K (2012) Development and comparison of new hybrid motion tracking for bronchoscopic navigation. Med Image Anal 16(3):577–596
Article
Google Scholar
Lux M, Marques O, Schöffmann K, Böszörmenyi L, Lajtai G (2009) A novel tool for summarization of arthroscopic videos. Multimedia Tools and Applications 46(2–3):521–544
Article
Google Scholar
Lux M, Riegler M (2013) Annotation of endoscopic videos on mobile devices: a bottom-up approach. In: Proceedings of the 4th ACM Multimedia Systems Conference. ACM, pp 141–145
Mackiewicz M, Berens J, Fisher M (2008) Wireless Capsule Endoscopy Color Video Segmentation. IEEE Trans Med Imaging 27(12):1769–1781
Article
Google Scholar
Maghsoudi O, Talebpour A, Sotanian-Zadeh H, Alizadeh M, Soleimani H (2014) Informative and Uninformative Regions Detection in WCE Frames Journal of Advanced Computing
Maier-Hein L, Mountney P, Bartoli A, Elhawary H, Elson D, Groch A, Kolb A, Rodrigues M, Sorger J, Speidel S, Stoyanov D (2013) Optical techniques for 3d surface reconstruction in computer-assisted laparoscopic surgery. Med Image Anal 17(8):974–996
Article
Google Scholar
Makary MA (2013) The Power of Video Recording: Taking Quality to the Next Level. JAMA 309(15):1591
Article
Google Scholar
Malti A (2014) Variational Formulation of the Template-Based Quasi-Conformal Shape-from-Motion from Laparoscopic Images Int’l Journal of Advanced Computer Science and Applications (IJACSA)
Malti A, Bartoli A (2014) Combining Conformal Deformation and Cook-Torrance Shading for 3-D Reconstruction in Laparoscopy. IEEE Trans Biomed Eng 61(6):1684–1692
Article
Google Scholar
Marayong P, Li M, Okamura A, Hager G (2003) Spatial motion constraints: theory and demonstrations for robot guidance using virtual fixtures. In: IEEE International Conference on Robotics and Automation, 2003. Proceedings. ICRA ’03, vol 2, pp 1954–1959
Markelj P, Tomazevic D, Likar B, Pernuš F (2012) A review of 3d/2d registration methods for image-guided interventions. Med Image Anal 16(3):642–661
Article
Google Scholar
Matas J, Chum O, Urban M, Pajdla T (2004) Robust wide-baseline stereo from maximally stable extremal regions. Image Vis Comput 22(10):761–767
Article
Google Scholar
Meslouhi O, Kardouchi M, Allali H, Gadi T, Benkaddour YA (2011) Automatic detection and inpainting of specular reflections for colposcopic images. Central European Journal of Computer Science 1(3):341–354
Google Scholar
Miranda-Luna R, Daul C, Blondel W, Hernandez-Mier Y, Wolf D, Guillemin F (2008) Mosaicing of Bladder Endoscopic Image Sequences: Distortion Calibration and Registration Algorithm. IEEE Transactions on Biomedical Engineering 55(2):541–553
Article
Google Scholar
Mirota D, Wang H, Taylor R, Ishii M, Hager G (2009) Toward video-based navigation for endoscopic endonasal skull base surgery. MICCAI 2009:91–99
Google Scholar
Mirota DJ, Ishii M, Hager GD (2011) Vision-Based Navigation in Image-Guided Interventions. Annu Rev Biomed Eng 13(1):297–319
Article
Google Scholar
Mirota DJ, Uneri A, Schafer S, Nithiananthan S, Reh DD, Gallia GL, Taylor RH, Hager GD, Siewerdsen JH (2011) High-accuracy 3d image-based registration of endoscopic video to C-arm cone-beam CT for image-guided skull base surgery. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol 7964, p 79640J
Münzer B, Schoeffmann K, Böszörmenyi L (2016) Domain-Specific Video Compression for Long-Term Archiving of Endoscopic Surgery Videos. In: 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), pp 312–317. doi:10.1109/CBMS.2016.28.00000
Moll M, Koninckx T, Van Gool LJ, Koninckx PR (2009) Unrotating images in laparoscopy with an application for 30° laparoscopes. In: 4th European conference of the international federation for medical and biological engineering. Springer, pp 966–969
Mountney P, Lo B, Thiemjarus S, Stoyanov D, Yang GZ (2007) A probabilistic framework for tracking deformable soft tissue in minimally invasive surgery. MICCAI 2007:34–41
Google Scholar
Mountney P, Stoyanov D, Yang GZ Recovering Tissue Deformation and Laparoscope Motion for minimally invasive Surgery. Tutorial paper. http://www.mountney.org.uk/publications/SPM%202010.pdf
Mountney P, Stoyanov D, Yang GZ (2010) Three-Dimensional Tissue Deformation Recovery and Tracking. IEEE Signal Process Mag 27(4):14–24
Article
Google Scholar
Mountney P, Yang GZ (2009) Dynamic view expansion for minimally invasive surgery using simultaneous localization and mapping. In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2009, pp 1184–1187
Mountney P, Yang GZ (2010) Motion compensated SLAM for image guided surgery. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010:496–504
Article
Google Scholar
Mountney P, Yang GZ (2012) Context specific descriptors for tracking deforming tissue. Med Image Anal 16(3):550–561
Article
Google Scholar
Moustris GP, Hiridis SC, Deliparaschos KM, Konstantinidis KM (2011) Evolution of autonomous and semi-autonomous robotic surgical systems: a review of the literature. Int J Med Rob Comput Assisted Surg 7(4):375–392
Article
Google Scholar
Müller H, Michoux N, Bandon D, Geissbuhler A (2004) A review of content-based image retrieval systems in medical applications - clinical benefits and future directions. Int J Med Inform 73(1):1–23
Article
Google Scholar
Münzer B (2011) Requirements and Prototypes for a Content-Based Endoscopic Video Management System. Master’s Thesis. Alpen-Adria Universität Klagenfurt, Klagenfurt
Google Scholar
Münzer B, Schoeffmann K, Böszörmenyi L (2013) Detection of circular content area in endoscopic videos. In: 2013 IEEE 26th Int’l Symp. on Computer-Based Medical Systems (CBMS), pp 534–536
Münzer B, Schoeffmann K, Böszörmenyi L (2013) Improving encoding efficiency of endoscopic videos by using circle detection based border overlays. In: 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), pp 1–4
Münzer B, Schoeffmann K, Böszörmenyi L (2013) Relevance Segmentation of Laparoscopic Videos. In: 2013 IEEE International Symposium on Multimedia (ISM), pp 84–91
Münzer B, Schoeffmann K, Böszörmenyi L, Smulders J, Jakimowicz J (2014) Investigation of the Impact of Compression on the Perceptional Quality of Laparoscopic Videos. In: 2014 IEEE 27th International Symposium on Computer-Based Medical einfarbig Systems (CBMS), pp 153–158
Muthukudage J, Oh J, Nawarathna R, Tavanapong W, Wong J, de Groen PC (2014) Fast Object Detection Using Color Features for Colonoscopy Quality Measurements. In: Abdomen and Thoracic Imaging, pp 365–388. Springer
Muthukudage J, Oh J, Tavanapong W, Wong J, de Groen PC (2012) Color Based Stool Region Detection in Colonoscopy Videos for Quality Measurements. In: Advances in Image and Video Technology, no. 7087 in LNCS, pp 61–72. Springer
Nageotte F, Zanne P, Doignon C, de Mathelin M (2006) Visual servoing-based endoscopic path following for robot-assisted laparoscopic surgery. In: 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp 2364–2369
Neumuth T, Jannin P, Schlomberg J, Meixensberger J, Wiedemann P, Burgert O (2011) Analysis of surgical intervention populations using generic surgical process models. Int J Comput Assist Radiol Surg 6(1):59–71
Article
Google Scholar
Nicolau S, Soler L, Mutter D, Marescaux J (2011) Augmented reality in laparoscopic surgical oncology. Surg Oncol 20(3):189–201
Article
Google Scholar
Oh J, Hwang S, Cao Y, Tavanapong W, Liu D, Wong J, de Groen P (2009) Measuring Objective Quality of Colonoscopy. IEEE Trans Biomed Eng 56(9):2190–2196
Article
Google Scholar
Oh J, Hwang S, Lee J, Tavanapong W, Wong J, de Groen PC (2007) Informative frame classification for endoscopy video. Med Image Anal 11(2):110–127
Article
Google Scholar
Oh JH, Rajbal MA, Muthukudage JK, Tavanapong W, Wong J, de Groen PC (2009) Real-time phase boundary detection in colonoscopy videos. In: ISPA 2009. Proceedings of 6th International Symposium on Image and Signal Processing and Analysis, 2009, pp 724–729
Google Scholar
Okatani T, Deguchi K (1997) Shape Reconstruction from an Endoscope Image by Shape from Shading Technique for a Point Light Source at the Projection Center. Comput Vis Image Underst 66(2):119–131
Article
Google Scholar
Oropesa I, Sánchez-González P, Chmarra MK, Lamata P, Fernández A, Sánchez-Margallo JA, Jansen FW, Dankelman J, Sánchez-Margallo FM, Gómez EJ (2013) EVA: Laparoscopic Instrument Tracking Based on Endoscopic Video Analysis for Psychomotor Skills Assessment. Surg Endosc 27(3):1029–1039
Article
Google Scholar
Oropesa I, Sánchez-González P, Lamata P, Chmarra MK, Pagador JB, Sánchez-Margallo JA, Sánchez-Margallo FM, Gómez EJ (2011) Methods and Tools for Objective Assessment of Psychomotor Skills in Laparoscopic Surgery. J Surg Res 171(1):e81–e95
Article
Google Scholar
Padoy N, Blum T, Ahmadi SA, Feussner H, Berger MO, Navab N (2012) Statistical modeling and recognition of surgical workflow. Med Image Anal 16(3):632–641
Article
Google Scholar
Padoy N, Hager G (2011) Human-Machine Collaborative surgery using learned models. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp 5285–5292
Parchami M, Mariottini GL (2014) A comparative study on 3-D stereo reconstruction from endoscopic images. In: Proceedings 7th Int’l Conf. on Pervasive Technologies Related to Assistive Environments, p 25. ACM
Park S, Howe RD, Torchiana DF (2001) Virtual Fixtures for Robotic Cardiac Surgery. In: MICCAI 2001, no. 2208 in LNCS, pp 1419–1420. Springer
Parot V, Lim D, González G, Traverso G, Nishioka NS, Vakoc BJ, Durr NJ (2013) Photometric stereo endoscopy. J Biomed Opt 18(7):076,017–076,017
Article
Google Scholar
Penne J, Höller K, Stürmer M, Schrauder T, Schneider A, Engelbrecht R, Feußner H, Schmauss B, Hornegger J (2009) Time-of-Flight 3-D Endoscopy. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009, no. 5761 in LNCS, pp 467–474. Springer
Pezzementi Z, Voros S, Hager G (2009) Articulated object tracking by rendering consistent appearance parts. In: IEEE International Conference on Robotics and Automation, 2009. ICRA ’09, pp 3940–3947
Prasath V, Figueiredo I, Figueiredo P, Palaniappan K (2012) Mucosal region detection and 3d reconstruction in wireless capsule endoscopy videos using active contours. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp 4014–4017
Primus MJ, Schoeffmann K, Böszörmenyi L (2013) Segmentation of recorded endoscopic videos by detecting significant motion changes. In: 2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI), pp 223–228
Primus MJ, Schoeffmann K, Böszörmenyi L (2015) Instrument Classification in Laparoscopic Videos. In: 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI). Prague
Primus MJ, Schoeffmann K, Böszörmenyi L (2016) Temporal segmentation of laparoscopic videos into surgical phases. In: 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI), pp 1–6. doi:10.1109/CBMI.2016.7500249
Przelaskowski A, Jozwiak R (2008) Compression of Bronchoscopy Video: Coding Usefulness and Efficiency Assessment. In: Information Technologies in Biomedicine, no. 47 in Advances in Soft Computing, pp 208–216. Springer
Puerto GA, Mariottini GL (2012) A Comparative Study of Correspondence-Search Algorithms in MIS Images. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2012, no. 7511 in LNCS, pp 625–633. Springer
Puerto-Souza G, Mariottini GL (2013) A Fast and Accurate Feature-Matching Algorithm for Minimally-Invasive Endoscopic Images. IEEE Trans Med Imaging 32(7):1201–1214
Article
Google Scholar
Puerto-Souza GA, Mariottini GL (2014) Wide-Baseline Dense Feature Matching for Endoscopic Images. In: Image and Video Technology, no. 8333 in LNCS, pp 48–59. Springer
Rangseekajee N, Phongsuphap S (2011) Endoscopy video frame classification using edge-based information analysis. In: Computing in Cardiology, 2011, pp 549–552
Reeff M, Gerhard F, Cattin PC, Székely G (2006) Mosaicing of endoscopic placenta images. GI Jahrestagung 2006(1):467–474
Google Scholar
Reiter A, Allen PK, Zhao T (2014) Appearance learning for 3d tracking of robotic surgical tools. Int J Robot Res 33(2):342–356
Article
Google Scholar
Richa R, Bó APL, Poignet P (2011) Towards robust 3d visual tracking for motion compensation in beating heart surgery. Med Image Anal 15(3):302–315
Article
Google Scholar
Riegler M, Lux M, Gridwodz C, Spampinato C, de Lange T, Eskeland SL, Pogorelov K, Tavanapong W, Schmidt PT, Gurrin C, Johansen D, Johansen HA, Halvorsen PA (2016) Multimedia and Medicine: Teammates for Better Disease Detection and Survival. In: Proceedings of the 2016 ACM on Multimedia Conference, MM ’16, pp 968–977. ACM, New York, NY, USA. 00000. doi:10.1145/2964284.2976760
Röhl S, Bodenstedt S, Suwelack S, Kenngott H, Müller-Stich BP, Dillmann R, Speidel S (2012) Dense GPU-enhanced surface reconstruction from stereo endoscopic images for intraoperative registration. Med Phys 39(3):1632–1645
Article
Google Scholar
Roldan Carlos J, Lux M, Giro-i Nieto X, Munoz P, Anagnostopoulos N (2015) Visual information retrieval in endoscopic video archives. In: 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), pp 1–6
Rosen J, Brown J, Chang L, Sinanan M, Hannaford B (2006) Generalized approach for modeling minimally invasive surgery as a stochastic process using a discrete Markov model. IEEE Trans Biomed Eng 53(3):399–413
Article
Google Scholar
Rosen J, Hannaford B, Richards C, Sinanan M (2001) Markov modeling of minimally invasive surgery based on tool/tissue interaction and force/torque signatures for evaluating surgical skills. IEEE Trans Biomed Eng 48(5):579–591
Article
Google Scholar
Rublee E, Rabaud V, Konolige K, Bradski G (2011) ORB :An efficient alternative to SIFT or SURF. In: 2011 IEEE International Conference on Computer Vision (ICCV), pp 2564–2571
Rungseekajee N, Lohvithee M, Nilkhamhang I (2009) Informative frame classification method for real-time analysis of colonoscopy video. In: 6th Int’l Conf on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009, ECTI-CON 2009, vol 2, pp 1076–1079
Rupp S, Elter M, Winter C (2007) Improving the Accuracy of Feature Extraction for Flexible Endoscope Calibration by Spatial Super Resolution. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007. EMBS 2007, pp 6565–6571
Saint-Pierre CA, Boisvert J, Grimard G, Cheriet F (2011) Detection and correction of specular reflections for automatic surgical tool segmentation in thoracoscopic images. Mach Vis Appl 22(1):171–180
Article
Google Scholar
Sauvée M, Noce A, Poignet P, Triboulet J, Dombre E (2007) Three-dimensional heart motion estimation using endoscopic monocular vision system: From artificial landmarks to texture analysis. Biomed Signal Process Control 2 (3):199–207
Article
Google Scholar
Scharcanski J, Gaviao W (2006) Hierarchical summarization of diagnostic hysteroscopy videos. In: 2006 IEEE International Conference on Image Processing, pp 129–132
Schoeffmann K, del Fabro M, Szkaliczki T, Böszörmenyi L, Keckstein J (2014) Keyframe extraction in endoscopic video. Multimedia Tools and Applications:1–20
Selka F, Nicolau S, Agnus V, Bessaid A, Marescaux J, Soler L (2015) Context-specific selection of algorithms for recursive feature tracking in endoscopic image using a new methodology. Comput Med Imaging Graph 40:49–61
Article
Google Scholar
Shen Y, Guturu P, Buckles B (2012) Wireless Capsule Endoscopy Video Segmentation Using an Unsupervised Learning Approach Based on Probabilistic Latent Semantic Analysis With Scale Invariant Features. IEEE Trans Inf Technol Biomed 16(1):98–105
Article
Google Scholar
Sheraizin S, Sheraizin V (2006) Endoscopy Imaging Intelligent Contrast Improvement. In: 27th Annual Int’l Conf of the Engineering in Medicine and Biology Society, 2005, IEEE-EMBS 2005. pp 6551–6554
Shih T, Chang RC (2005) Digital inpainting - survey and multilayer image inpainting algorithms. In: Third Int’l Conf. on Information Technology and Applications, 2005. ICITA 2005, vol 1, pp 15–24
Sielhorst T, Feuerstein M, Navab N (2008) Advanced Medical Displays: A Literature Review of Augmented Reality. J Disp Technol 4(4):451–467
Article
Google Scholar
Simpfendörfer T, Baumhauer M, Müller M, Gutt CN, Meinzer HP, Rassweiler JJ, Guven S, Teber D (2011) Augmented Reality Visualization During Laparoscopic Radical Prostatectomy. J Endourol 25(12):1841–1845
Article
Google Scholar
Song KT, Chen CJ (2012) Autonomous and stable tracking of endoscope instrument tools with monocular camera. In: 2012 IEEE/ASME Int’l Conf. on Advanced Intelligent Mechatronics (AIM), pp 39–44
Soper TD, Porter MP, Seibel EJ (2012) Surface Mosaics of the Bladder Reconstructed From Endoscopic Video for Automated Surveillance. IEEE Trans Biomed Eng 59(6):1670–1680
Article
Google Scholar
Speidel S, Benzko J, Krappe S, Sudra G, Azad P, Müller-Stich BP, Gutt C, Dillmann R (2009) Automatic classification of minimally invasive instruments based on endoscopic image sequences. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol 7261 , p 72610A
Speidel S, Sudra G, Senemaud J, Drentschew M, Müller-Stich BP, Gutt C, Dillmann R (2008) Recognition of risk situations based on endoscopic instrument tracking and knowledge based situation modeling. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conf. Series, vol 6918, p 69180X
Spyrou E, Diamantis D, Iakovidis D (2013) Panoramic Visual Summaries for Efficient Reading of Capsule Endoscopy Videos. In: 2013 8th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP), pp 41–46
Srinivasan N, Stanek S, Szewczynski MJ, Enders F, Tavanapong W, Oh J, Wong J, Groen PCD (2013) Automated Real-Time Feedback During Colonoscopy Improves Endoscopist Technique As Intended: a Controlled Clinical Trial. Gastrointest Endosc 77(5):AB500. 00000
Article
Google Scholar
Stanek SR, Tavanapong W, Wong J, Oh JH, De Groen PC (2012) Automatic real-time detection of endoscopic procedures using temporal features. Comput Methods Prog Biomed 108(2):524–535
Article
Google Scholar
Stanek SR, Tavanapong W, Wong JS, Oh J, de Groen PC (2008) Automatic real-time capture and segmentation of endoscopy video. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol 6919, p 69190X
Staub C, Lenz C, Panin G, Knoll A, Bauernschmitt R (2010) Contour-based surgical instrument tracking supported by kinematic prediction. In: 2010 3rd IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), pp 746–752
Staub C, Osa T, Knoll A, Bauernschmitt R (2010) Automation of tissue piercing using circular needles and vision guidance for computer aided laparoscopic surgery. In: IEEE International Conference on Robotics and Automation (ICRA), 2010, pp 4585–4590
Stauder R, Okur A, Peter L, Schneider A, Kranzfelder M, Feussner H, Navab N (2014) Random Forests for Phase Detection in Surgical Workflow Analysis. In: Information Processing in Computer-Assisted Interventions, no. 8498 in LNCS, pp 148–157. Springer
Stehle T (2006) Removal of specular reflections in endoscopic images. Acta Polytechnica: Journal of Advanced Engineering 46(4):32–36
Google Scholar
Stehle T, Hennes M, Gross S, Behrens A, Wulff J, Aach T (2009) Dynamic Distortion Correction for Endoscopy Systems with Exchangeable Optics. In: Bildverarbeitung für die Medizin 2009, Informatik aktuell, pp 142–146. Springer
Stoyanov D, Mylonas GP, Deligianni F, Darzi A, Yang GZ (2005) Soft-Tissue Motion Tracking and Structure Estimation for Robotic Assisted MIS Procedures. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2005, no. 3750 in LNCS, pp 139–146. Springer
Stoyanov D, Scarzanella MV, Pratt P, Yang GZ (2010) Real-Time Stereo Reconstruction in Robotically Assisted Minimally Invasive Surgery. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2010, no. 6361 in LNCS, pp 275–282. Springer
Stoyanov D, Yang GZ (2005) Removing specular reflection components for robotic assisted laparoscopic surgery. In: IEEE International Conference on Image Processing, 2005. ICIP 2005, vol 3, pp III–632–5
Su LM, Vagvolgyi BP, Agarwal R, Reiley CE, Taylor R, Hager GD (2009) Augmented Reality During Robot-assisted Laparoscopic Partial Nephrectomy: Toward Real-Time 3d-CT to Stereoscopic Video Registration. Urology 73(4):896–900
Article
Google Scholar
Sudra G, Speidel S, Fritz D, Müller-Stich BP, Gutt C, Dillmann R (2007) MEDIASSIST: medical assistance for intraoperative skill transfer in minimally invasive surgery using augmented reality. In: Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, vol 6509, p 65091O
Sugimoto M, Yasuda H, Koda K, Suzuki M, Yamazaki M, Tezuka T, Kosugi C, Higuchi R, Watayo Y, Yagawa Y, Uemura S, Tsuchiya H, Azuma T (2010) Image overlay navigation by markerless surface registration in gastrointestinal, hepatobiliary and pancreatic surgery. J Hepatobiliary Pancreat Sci 17(5):629–636
Article
Google Scholar
Sung G, Gill IS (2001) Robotic laparoscopic surgery: a comparison of the da Vinci and Zeus systems. Urology 58(6):893–898
Article
Google Scholar
Suwelack S, Röhl S, Dillmann R, Wekerle AL, Kenngott H, Müller-Stich B, Alt C, Speidel S (2012) Quadratic Corotated Finite Elements for Real-Time Soft Tissue Registration. In: Computational Biomechanics for Medicine, pp 39–50. Springer, New York
Szczypiński P, Klepaczko A, Pazurek M, Daniel P (2014) Texture and color based image segmentation and pathology detection in capsule endoscopy videos. Comput Methods Prog Biomed 113(1):396–411
Article
Google Scholar
Tai XY, Wang LD, Chen Q, Fuji R, Kenji K (2009) A New Method Of Medical Image Retrieval Based On Color–Texture Correlogram And Gti Model. Int J Inf Technol Decis Mak 08(02):239–248
MATH
Article
Google Scholar
Taylor R (2006) A Perspective on Medical Robotics. Proc IEEE 94(9):1652–1664
Article
Google Scholar
Taylor R, Stoianovici D (2003) Medical robotics in computer-integrated surgery. IEEE Trans Robot Autom 19(5):765–781
Article
Google Scholar
Teber D, Guven S, Simpfendörfer T, Baumhauer M, Güven EO, Yencilek F, Gözen AS, Rassweiler J (2009) Augmented Reality: A New Tool To Improve Surgical Accuracy during Laparoscopic Partial Nephrectomy? Preliminary In Vitro and In Vivo Results. Eur Urol 56(2):332–338
Article
Google Scholar
Tian J, Ma KK (2011) A survey on super-resolution imaging. SIViP 5(3):329–342
Article
Google Scholar
Tjoa MP, Krishnan SM et al (2003) Feature extraction for the analysis of colon status from the endoscopic images. BioMedical Engineering OnLine 2(9):1–17
Google Scholar
Tokgozoglu H, Meisner E, Kazhdan M, Hager G (2012) Color-based hybrid reconstruction for endoscopy. In: 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp 8–15
Google Scholar
Tonet O, Thoranaghatte RU, Megali G, Dario P (2007) Tracking endoscopic instruments without a localizer: a shape-analysis-based approach. Computer Aided Surgery: Official Journal of the International Society for Computer Aided Surgery 12(1):35–42
Article
Google Scholar
Totz J, Fujii K, Mountney P, Yang GZ (2012) Enhanced visualisation for minimally invasive surgery. Int J Comput Assist Radiol Surg 7(3):423–432
Article
Google Scholar
Totz J, Mountney P, Stoyanov D, Yang GZ (2011) Dense Surface Reconstruction for Enhanced Navigation in MIS. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011, no. 6891 in LNCS, pp 89–96. Springer
Tsevas S, Iakovidis DK, Maroulis D, Pavlakis E (2008) Automatic frame reduction of Wireless Capsule Endoscopy video. In: 8th IEEE International Conference on BioInformatics and BioEngineering, 2008. BIBE 2008, pp 1–6
Twinanda AP, Marescaux J, de Mathelin M, Padoy N (2015) Classification approach for automatic laparoscopic video database organization. Int J Comput Assist Radiol Surg:1–12
Twinanda AP, de Mathelin M, Padoy N (2014) Fisher Kernel Based Task Boundary Retrieval in Laparoscopic Database with Single Video Query. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014, no. 8675 in LNCS, pp 409–416. Springer
Ukimura O, Gill IS (2008) Imaging-assisted endoscopic surgery: Cleveland Clinic experience. Journal of Endourology / Endourological Society 22(4):803–810
Article
Google Scholar
Vijayan Asari K, Kumar S, Radhakrishnan D (1999) A new approach for nonlinear distortion correction in endoscopic images based on least squares estimation. IEEE Trans Med Imaging 18(4):345–354
Article
Google Scholar
Vilarino F, Spyridonos P, Pujol O, Vitria J, Radeva P, de Iorio F (2006) Automatic Detection of Intestinal Juices in Wireless Capsule Video Endoscopy. In: 18th International Conference on Pattern Recognition, 2006. ICPR 2006, vol 4, pp 719–722
Visentini-Scarzanella M, Mylonas GP, Stoyanov D, Yang GZ (2009) i-brush: A gaze-contingent virtual paintbrush for dense 3d reconstruction in robotic assisted surgery. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009, pp 353–360. Springer
Vitiello V, Lee SL, Cundy T, Yang GZ (2013) Emerging Robotic Platforms for Minimally Invasive Surgery. IEEE Rev Biomed Eng 6:111–126
Article
Google Scholar
Vogt F, Krüger S, Niemann H, Schick C (2003) A system for real-time endoscopic image enhancement. Medical Image Computing and Computer-Assisted Intervention-MICCAI 2003:356–363
Google Scholar
Vogt F, Paulus D, Heigl B, Vogelgsang C, Niemann H, Greiner G, Schick C (2002) Making the Invisible Visible: Highlight Substitution by Color Light Fields. Conference on Colour in Graphics Imaging, and Vision 2002(1):352–357
Google Scholar
Vogt F, Paulus D, Niemann H (2002) Highlight substitution in light fields. In: 2002 International Conference on Image Processing. 2002. Proceedings, vol 1, pp I–637–I–640
Voros S, Haber GP, Menudet JF, Long JA, Cinquin P (2010) ViKY Robotic Scope Holder: Initial Clinical Experience and Preliminary Results Using Instrument Tracking. IEEE/ASME Trans Mechatron 15(6):879–886
Google Scholar
Voros S, Hager GD (2008) Towards real-time tool-tissue interaction detection in robotically assisted laparoscopy. In: BioRob 2008. 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, 2008, pp 562–567
Voros S, Long JA, Cinquin P (2007) Automatic Detection of Instruments in Laparoscopic Images: A First Step Towards High-level Command of Robotic Endoscopic Holders. Int J Robot Res 26(11–12):1173–1190
Article
Google Scholar
Wang P, Krishnan SM, Kugean C, Tjoa MP (2001) Classification of endoscopic images based on texture and neural network. In: Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2001, vol 4, pp 3691–3695
Wang X, Zhang O, Han Q, Yang R, Carswell M, Seales B, Sutton E (2010) Endoscopic Video Texture Mapping on Pre-Built 3-D Anatomical Objects Without Camera Tracking. IEEE Trans Med Imaging 29(6):1213–1223
Article
Google Scholar
Wang Y, Tavanapong W, Wong J, Oh J, de Groen P (2010) Detection of Quality Visualization of Appendiceal Orifices Using Local Edge Cross-Section Profile Features and Near Pause Detection. IEEE Trans Biomed Eng 57(3):685–695
Article
Google Scholar
Wang Y, Tavanapong W, Wong J, Oh J, de Groen P (2013) Near Real-Time Retroflexion Detection in Colonoscopy. IEEE Journal of Biomedical and Health Informatics 17(1):143–152
Article
Google Scholar
Wang Y, Tavanapong W, Wong J, Oh JH, de Groen PC (2015) Polyp-Alert: Near real-time feedback during colonoscopy. Comput Methods Prog Biomed 120(3):164–179
Article
Google Scholar
Weede O, Dittrich F, Worn H, Jensen B, Knoll A, Wilhelm D, Kranzfelder M, Schneider A, Feussner H (2012) Workflow analysis and surgical phase recognition in minimally invasive surgery. In: 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp 1080–1074
Wei GQ, Arbter K, Hirzinger G (1997) Real-time visual servoing for laparoscopic surgery. Controlling robot motion with color image segmentation. IEEE Eng Med Biol Mag, IEEE 16(1):40–45
Article
Google Scholar
Wengert C, Reeff M, Cattin P, Székely G (2006) Fully Automatic Endoscope Calibration for Intraoperative Use. In: Bildverarbeitung für die Medizin 2006, Informatik aktuell, pp 419–423. Springer
Wieringa FP, Bouma H, Eendebak PT, van Basten JPA, Beerlage HP, Smits GA, Bos JE (2014) Improved depth perception with three-dimensional auxiliary display and computer generated three-dimensional panoramic overviews in robot-assisted laparoscopy. J Med Image 15001:1
Google Scholar
Winter C, Rupp S, Elter M, Munzenmayer C, Gerhauser H, Wittenberg T (2006) Automatic Adaptive Enhancement for Images Obtained With Fiberscopic Endoscopes. IEEE Trans Biomed Eng 53(10):2035–2046
Article
Google Scholar
Wolf R, Duchateau J, Cinquin P, Voros S (2011) 3d Tracking of Laparoscopic Instruments Using Statistical and Geometric Modeling. In: Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011, no. 6891 in LNCS, pp 203–210. Springer
Wong WK, Yang B, Liu C, Poignet P (2013) A Quasi-Spherical Triangle-Based Approach for Efficient 3-D Soft-Tissue Motion Tracking. IEEE/ASME Trans Mechatron 18(5):1472–1484
Article
Google Scholar
Wu C, Narasimhan SG, Jaramaz B (2010) A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes. Int J Comput Vis 86(2–3):211–228
MathSciNet
Article
Google Scholar
Wu C, Tai X (2009) Application of Color Change Feature in Gastroscopic Image Retrieval. In: Sixth Int’l Conf on Fuzzy Systems and Knowledge Discovery, 2009. FSKD ’09, vol 3, pp 388–392
Xia S, Ge D, Mo W, Zhang Z (2005) A Content-Based Retrieval System for Endoscopic Images. In: 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005, IEEE-EMBS 2005. pp 1720–1723
Xia S, Mo W, Yan Y, Chen X (2003) An endoscopic image retrieval system based on color clustering method. In: Third International Symposium on Multispectral Image Processing and Pattern Recognition, vol 5286, pp 410–413
Yamaguchi T, Nakamoto M, Sato Y, Konishi K, Hashizume M, Sugano N, Yoshikawa H, Tamura S (2004) Development of a camera model and calibration procedure for oblique-viewing endoscopes. Computer aided surgery: official journal of the Int’l Society for Computer Aided Surgery 9(5):203–214
Google Scholar
Yao R, Wu Y, Yang W, Lin X, Chen S, Zhang S (2010) Specular Reflection Detection on Gastroscopic Images. In: 2010 4th Int’l Conf. on Bioinformatics and Biomedical Engineering (iCBBE), pp 1–4
Yip M, Lowe D, Salcudean S, Rohling R, Nguan C (2012) Tissue Tracking and Registration for Image-Guided Surgery. IEEE Trans Med Imaging 31(11):2169–2182
Article
Google Scholar
Zappella L, Béjar B, Hager G, Vidal R (2013) Surgical gesture classification from video and kinematic data. Med Image Anal 17(7):732–745
Article
Google Scholar
Zhang C, Helferty JP, McLennan G, Higgins WE (2000) Nonlinear distortion correction in endoscopic video images. In: Proceedings. 2000 International Conference on Image Processing, 2000, vol 2, pp 439–442
Zhang X, Payandeh S (2002) Application of visual tracking for robot-assisted laparoscopic surgery. J Robot Syst 19(7):315–328
MATH
Article
Google Scholar
Zheng MM, Krishnan SM, Tjoa MP (2005) A fusion-based clinical decision support for disease diagnosis from endoscopic images. Comput Biol Med 35(3):259–274
Article
Google Scholar