Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation
暂无分享,去创建一个
[1] A. Toumi,et al. Transient stability fuzzy control approach for power systems , 2004, 2004 IEEE International Conference on Industrial Technology, 2004. IEEE ICIT '04..
[2] Witold Pedrycz,et al. Fuzzy control and fuzzy systems (2nd, extended ed.) , 1993 .
[3] Ahmed Mehaoua,et al. FAFC: fast adaptive fuzzy AQM controller for TCP/IP networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..
[4] Lakhmi C. Jain,et al. Fuzzy and Neuro-Fuzzy Systems in Medicine , 2017 .
[5] Sophia Mã ¶ ller,et al. Biomechanics — Mechanical properties of living tissue , 1982 .
[6] Chih-Min Lin,et al. Self-learning fuzzy sliding-mode control for antilock braking systems , 2003, IEEE Trans. Control. Syst. Technol..
[7] P.J. King,et al. The application of fuzzy control systems to industrial processes , 1977, Autom..
[8] Molly Cooke,et al. American medical education 100 years after the Flexner report. , 2006, The New England journal of medicine.
[9] A. Mannani,et al. A fuzzy Lyapunov-based control strategy for a macro-micro manipulator , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..
[10] Piero P. Bonissone,et al. Industrial applications of fuzzy logic at General Electric , 1995, Proc. IEEE.
[11] Rong-Jong Wai,et al. Intelligent tracking control for robot manipulator including actuator dynamics via TSK-type fuzzy neural network , 2004, IEEE Trans. Fuzzy Syst..
[12] Jay A. Farrell,et al. Design of an enhanced hybrid fuzzy P+ID controller for a mechanical manipulator , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[13] Michio Sugeno,et al. Industrial Applications of Fuzzy Control , 1985 .
[14] Jeen-Shing Wang,et al. Self-adaptive recurrent neuro-fuzzy control of an autonomous underwater vehicle , 2002, IEEE Trans. Robotics Autom..
[15] Praveen Sharma,et al. Non-invasive Diagnosis of Fibrosis in Non-alcoholic Fatty Liver Disease. , 2012, Journal of clinical and experimental hepatology.
[16] M P Nash,et al. A biomechanical model of mammographic compressions , 2008, Biomechanics and modeling in mechanobiology.
[17] George J. Vachtsevanos,et al. An input-output stability analysis of a fuzzy controller for a missile autopilot's yaw axis , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
[18] Robert D. Howe,et al. Mass-Spring Model for Simulation of Heart Valve Tissue Mechanical Behavior , 2011, Annals of Biomedical Engineering.
[19] Jong-Tae Lim,et al. Multicast ABR service in ATM networks using a fuzzy-logic-based consolidation algorithm , 2001 .
[20] Aníbal Ollero,et al. Automatic design of fuzzy controllers for car-like autonomous robots , 2004, IEEE Transactions on Fuzzy Systems.
[21] Daniel Thalmann,et al. Real time muscle deformations using mass-spring systems , 1998, Proceedings. Computer Graphics International (Cat. No.98EX149).
[22] Ebrahim Mamdani,et al. Applications of fuzzy algorithms for control of a simple dynamic plant , 1974 .
[23] Bor-Sen Chen,et al. Robust H∞ and mixed H2/H∞ filters for equalization designs of nonlinear communication systems: fuzzy interpolation approach , 2003, IEEE Trans. Fuzzy Syst..
[24] Gábor Székely,et al. Identification of Spring Parameters for Deformable Object Simulation , 2007, IEEE Transactions on Visualization and Computer Graphics.
[25] Myron Tribus,et al. The Use of Bayesian Inference in the Design of an Endpoint Control System for the Basic Oxygen Steel Furnace , 1970, IEEE Trans. Syst. Sci. Cybern..
[26] Ya Lei Sun,et al. Hybrid fuzzy control of robotics systems , 2004, IEEE Transactions on Fuzzy Systems.
[27] Jeich Mar,et al. An ANFIS controller for the car-following collision prevention system , 2001, IEEE Trans. Veh. Technol..
[28] Norberto F. Ezquerra,et al. Interactively deformable models for surgery simulation , 1993, IEEE Computer Graphics and Applications.
[29] Yao Zhang,et al. Parallel Computing Experiences with CUDA , 2008, IEEE Micro.
[30] T. Haruk,et al. Video Camera System Using Fuzzy Logic , 1992, IEEE 1992 International Conference on Consumer Electronics Digest of Technical Papers.
[31] Jung Kim,et al. Measurement and characterization of soft tissue behavior with surface deformation and force response under large deformations , 2010, Medical Image Anal..
[32] Patrick Taffé,et al. Rate of undesirable events at beginning of academic year: retrospective cohort study , 2009, BMJ : British Medical Journal.
[33] Paolo Fiorini,et al. Calibration of mass spring models for organ simulations , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[34] Suriya Natsupakpong,et al. Physically Based Modeling and Simulation for Virtual Environment based Surgical Training , 2010 .
[35] Rüdiger Westermann,et al. Mass-spring systems on the GPU , 2005, Simul. Model. Pract. Theory.
[36] Hervé Delingette,et al. Soft Tissue Modeling for Surgery Simulation , 2004 .
[37] Runtong Zhang,et al. Fuzzy control of queueing systems with heterogeneous servers , 1999, IEEE Trans. Fuzzy Syst..
[38] R M Satava,et al. Medical virtual reality. The current status of the future. , 1996, Studies in health technology and informatics.
[39] Meng Joo Er,et al. Hybrid fuzzy proportional-integral plus conventional derivative control of linear and nonlinear systems , 2001, IEEE Trans. Ind. Electron..
[40] A. Pollett,et al. 341 PERFORMANCE OF THE FIBROSCAN XL PROBE FOR LIVER STIFFNESS MEASUREMENT IN OBESE PATIENTS: A MULTICENTER VALIDATION STUDY , 2011 .
[41] Pierre Bedossa,et al. Non‐invasive assessment of liver fibrosis by stiffness measurement in patients with chronic hepatitis B , 2009, Liver international : official journal of the International Association for the Study of the Liver.
[42] Dana Tschannen,et al. Innovative Simulation Strategies in Education , 2012, Nursing research and practice.
[43] Wen-mei W. Hwu,et al. Optimization principles and application performance evaluation of a multithreaded GPU using CUDA , 2008, PPoPP.
[44] Dinesh P. Mital,et al. A quantitative analysis of the effectiveness of laparascopy and endoscopy virtual reality simulators , 2006, Comput. Electr. Eng..
[45] C. E. Etheredge,et al. A Parallel Mass-Spring Model for Soft Tissue Simulation with Haptic Rendering in CUDA , 2011 .
[46] Christian Duriez,et al. GPU-based real-time soft tissue deformation with cutting and haptic feedback. , 2010, Progress in biophysics and molecular biology.
[47] Raouf N. Gorgui-Naguib,et al. A fuzzy logic based-method for prognostic decision making in breast and prostate cancers , 2003, IEEE Transactions on Information Technology in Biomedicine.
[48] Klaus Schulten,et al. Accelerating Molecular Modeling Applications with GPU Computing , 2009 .
[49] Cagatay Basdogan,et al. Characterization of frequency-dependent material properties of human liver and its pathologies using an impact hammer , 2011, Medical Image Anal..
[50] Suthikshn Kumar,et al. A review of smart volume controllers for consumer electronics , 2005, IEEE Transactions on Consumer Electronics.
[51] S. Murakami. Application of Fuzzy Controller to Automobile Speed Control System , 1983 .
[52] Shaoping Xu,et al. An improved realistic mass-spring model for surgery simulation , 2010, 2010 IEEE International Symposium on Haptic Audio Visual Environments and Games.
[53] Coskun Bayrak,et al. Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods , 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.
[54] B Neisius,et al. CAD-based graphical computer simulation in endoscopic surgery. , 1993, Endoscopic surgery and allied technologies.
[55] Allen Van Gelder,et al. Approximate Simulation of Elastic Membranes by Triangulated Spring Meshes , 1998, J. Graphics, GPU, & Game Tools.
[56] Peter Xiaoping Liu,et al. A Nonlinear Viscoelastic Tensor-Mass Visual Model for Surgery Simulation , 2011, IEEE Transactions on Instrumentation and Measurement.
[57] Stephane Cotin,et al. A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation , 2000, The Visual Computer.
[58] Andreas Nürnberger,et al. Determination of Elastodynamic Model Parameters using a Recurrent Neuro-Fuzzy System , 1999 .
[59] Reza Langari,et al. Robust fuzzy control of a magnetic bearing system subject to harmonic disturbances , 1997, IEEE Trans. Control. Syst. Technol..
[60] A. Ziv,et al. Simulation-based medical education: an ethical imperative. , 2006, Simulation in healthcare : journal of the Society for Simulation in Healthcare.
[61] Lawrence Larkin,et al. A fuzzy logic controller for aircraft flight control , 1984, The 23rd IEEE Conference on Decision and Control.
[62] Tomonori Yamamoto. Applying tissue models in teleoperated robot-assisted surgery , 2011 .
[63] H. Trillaud,et al. Ultrasound elastography in liver. , 2013, Diagnostic and interventional imaging.
[64] V. Wong,et al. Diagnosis of liver fibrosis and cirrhosis using liver stiffness measurement: comparison between M and XL probe of FibroScan®. , 2012, Journal of hepatology.
[65] J. Bosch,et al. Non invasive evaluation of portal hypertension using transient elastography. , 2012, Journal of hepatology.
[66] Jessica K. Hodgins,et al. Estimating cloth simulation parameters from video , 2003, SCA '03.
[67] S. Fan,et al. Correlation of Liver Stiffness and Histological Features in Healthy Persons and in Patients With Occult Hepatitis B, Chronic Active Hepatitis B, or Hepatitis B Cirrhosis , 2010, The American Journal of Gastroenterology.
[68] Lotfi A. Zadeh,et al. Outline of a New Approach to the Analysis of Complex Systems and Decision Processes , 1973, IEEE Trans. Syst. Man Cybern..
[69] Chih-Lyang Hwang,et al. A stable adaptive fuzzy sliding-mode control for affine nonlinear systems with application to four-bar linkage systems , 2001, IEEE Trans. Fuzzy Syst..
[70] Mikko H. Lipasti,et al. Modern Processor Design: Fundamentals of Superscalar Processors , 2002 .
[71] Toshio Fukuda,et al. Neuro-fuzzy control of a robotic exoskeleton with EMG signals , 2004, IEEE Transactions on Fuzzy Systems.
[72] J. Weller,et al. Simulation-based training to improve acute care skills in medical undergraduates. , 2004, The New Zealand medical journal.
[73] Mary Hegarty,et al. A Virtual Environment Testbed for Training Laparoscopic Surgical Skills , 2000, Presence: Teleoperators & Virtual Environments.
[74] Peter Liu,et al. LMI-based fuzzy chaotic synchronization and communications , 2001, IEEE Trans. Fuzzy Syst..
[75] Ying Bai,et al. Fuzzy logic control to suppress noises and coupling effects in a laser tracking system , 2005, IEEE Transactions on Control Systems Technology.
[76] S. Taylor-Robinson,et al. Liver stiffness values in healthy subjects: implications for clinical practice. , 2008, Journal of hepatology.
[77] Gaizka San Vicente Otamendi. Designing deformable models of soft tissue for virtual surgery planning and simulation using the mas-spring model , 2011 .
[78] M. Yuen,et al. Clinical application of liver stiffness measurement using transient elastography in chronic liver disease from longitudinal perspectives. , 2013, World journal of gastroenterology.
[79] Yu-Shuang Yang,et al. Fuzzy adaptive predictive flow control of ATM network traffic , 2003, IEEE Trans. Fuzzy Syst..
[80] L. Castéra. Non-invasive assessment of liver fibrosis in chronic hepatitis C , 2011, Hepatology international.
[81] Abolfazl Halvaei Niasar,et al. Yaw moment control via emotional Adaptive Neuro-Fuzzy Controller for independent rear wheel drives of an electric vehicle , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..
[82] L. Sandrin,et al. Liver stiffness: a novel parameter for the diagnosis of liver disease , 2010, Hepatic medicine : evidence and research.
[83] Farzam Farahmand,et al. Real-time simulation of the nonlinear visco-elastic deformations of soft tissues , 2010, International Journal of Computer Assisted Radiology and Surgery.
[84] J. C. Wu,et al. A sliding-mode approach to fuzzy control design , 1996, IEEE Trans. Control. Syst. Technol..
[85] F.-L. Krause,et al. Evolutionary optimization of mass-spring models , 2009 .
[86] Gábor Székely,et al. Mesh Topology Identification for Mass-Spring Models , 2003, MICCAI.
[87] Fuzzy Logic in Control Systems : Fuzzy Logic , 2022 .
[88] Robert Babuska,et al. Fuzzy Modeling for Control , 1998 .
[89] M. Bro-Nielsen. Fast finite elements for surgery simulation. , 1997, Studies in health technology and informatics.
[90] Dimiter Driankov,et al. A fuzzy gain-scheduler for the attitude control of an unmanned helicopter , 2004, IEEE Transactions on Fuzzy Systems.
[91] M. Sugeno,et al. Fuzzy Control of Model Car , 1985 .
[92] Soumitra Dutta,et al. Fuzzy logic applications: Technological and strategic issues , 1993 .
[93] Michimasa Kishimoto,et al. Application of fuzzy control to industrial bioprocesses in Japan , 2002, Fuzzy Sets Syst..
[94] A. Tsourdos,et al. Control design for a mobile robot: a fuzzy LPV approach , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..
[95] H. Garg,et al. Liver Stiffness Measurements in Patients with Different Stages of Nonalcoholic Fatty Liver Disease: Diagnostic Performance and Clinicopathological Correlation , 2012, Digestive Diseases and Sciences.
[96] M. Schaverien. Development of expertise in surgical training. , 2010, Journal of surgical education.
[97] Dimitris N. Metaxas,et al. A deformable finite element model of the breast for predicting mechanical deformations under external perturbations. , 2001, Academic radiology.
[98] John C. Platt,et al. Elastically deformable models , 1987, SIGGRAPH.
[99] E. H. Mamdani,et al. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..
[100] D. Griffin,et al. Finite-Element Analysis , 1975 .
[101] Dimitris N. Metaxas,et al. Methods for Modeling and Predicting Mechanical Deformations of the Breast Under External Perturbations , 2001, MICCAI.
[102] Morten Bro-Nielsen,et al. Surgery Simulation Using fast Finite Elements , 1996, VBC.
[103] A. Pollett,et al. Discordance in fibrosis staging between liver biopsy and transient elastography using the FibroScan XL probe. , 2012, Journal of hepatology.
[104] M. L. Smith. Sensors, appliance control, and fuzzy logic , 1994 .
[105] A. Torralba,et al. Speed control of induction motors using a novel fuzzy-sliding mode structure , 1999, IECON'99. Conference Proceedings. 25th Annual Conference of the IEEE Industrial Electronics Society (Cat. No.99CH37029).
[106] I. G. Umbers,et al. An analysis of human decision-making in cement kiln control and the implications for automation , 1980 .
[107] C Baur,et al. VIRGY: a virtual reality and force feedback based endoscopic surgery simulator. , 1998, Studies in health technology and informatics.
[108] J. Vinel,et al. Liver stiffness accurately predicts portal hypertension related complications in patients with chronic liver disease: a prospective study. , 2011, Journal of hepatology.
[109] A.-M. Cretu,et al. Neural Network Modeling Techniques for the Real-Time Rendering of the Geometry and Elasticity of 3D Objects , 2007, 2007 2nd International Workshop on Soft Computing Applications.
[110] Matthias Müller,et al. A versatile and robust model for geometrically complex deformable solids , 2004, Proceedings Computer Graphics International, 2004..
[111] M. Ziol,et al. Assessment of biliary fibrosis by transient elastography in patients with PBC and PSC , 2006, Hepatology.
[112] Bijan Shirinzadeh,et al. Soft Tissue Deformation with Neural Dynamics for Surgery Simulation , 2007, Int. J. Robotics Autom..
[113] A. Radetzky,et al. Elastodynamic shape modeler: a tool for defining the deformation behavior of virtual tissues. , 2000, Radiographics : a review publication of the Radiological Society of North America, Inc.
[114] Lotfi A. Zadeh,et al. Fuzzy logic = computing with words , 1996, IEEE Trans. Fuzzy Syst..
[115] T. Grantcharov,et al. Randomized clinical trial of virtual reality simulation for laparoscopic skills training , 2004, The British journal of surgery.
[116] Septimiu E. Salcudean,et al. Simulated interactive needle insertion , 2002, Proceedings 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. HAPTICS 2002.
[117] Ricardo J. G. B. Campello,et al. Control of a bioprocess using orthonormal basis function fuzzy models , 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).
[118] H. Cortez‐Pinto,et al. Non-invasive diagnosis of non-alcoholic fatty liver disease. A critical appraisal. , 2013, Journal of hepatology.
[119] Richard Bellman,et al. Decision-making in fuzzy environment , 2012 .
[120] Euntai Kim,et al. Output feedback tracking control of MIMO systems using a fuzzy disturbance observer and its application to the speed control of a PM synchronous motor , 2005, IEEE Transactions on Fuzzy Systems.
[121] R. Satava,et al. Virtual Reality Training Improves Operating Room Performance: Results of a Randomized, Double-Blinded Study , 2002, Annals of surgery.
[122] Aldo Cipriano,et al. Fuzzy predictive control of a solar power plant , 2005, IEEE Transactions on Fuzzy Systems.
[123] Daniel Thalmann,et al. Deformable Tissue Parameterized by Properties of Real Biological Tissue , 2003, IS4TH.
[124] Betty Mohler,et al. Elastically deformable 3D organs for haptic surgical simulation. , 2002, Studies in health technology and informatics.
[125] Euntai Kim,et al. Output feedback tracking control of robot manipulators with model uncertainty via adaptive fuzzy logic , 2004, IEEE Trans. Fuzzy Syst..
[126] Shiuh-Jer Huang,et al. Adaptive fuzzy controller with sliding surface for vehicle suspension control , 2003, IEEE Trans. Fuzzy Syst..
[127] H. R. van Nauta Lemke,et al. Application of a fuzzy controller in a warm water plant , 1976, Autom..
[128] Ronald H Gray,et al. Liver stiffness is associated with monocyte activation in HIV-infected Ugandans without viral hepatitis. , 2013, AIDS research and human retroviruses.
[129] Kup-Sze Choi. Toward realistic virtual surgical simulation: using heuristically parameterized anisotropic mass-spring model to simulate tissue mechanical responses , 2010, 2010 2nd International Conference on Education Technology and Computer.
[130] Bing Chen,et al. Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping and application to chemical processes , 2005, IEEE Transactions on Fuzzy Systems.
[131] Chuen-Chien Lee. FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .
[132] Cagatay Basdogan,et al. Virtual environments for medical training: graphical and haptic simulation of laparoscopic common bile duct exploration , 2001 .
[133] M. B. Beck,et al. Fuzzy control of the activated sludge wastewater treatment process , 1980, Autom..
[134] V. de Lédinghen,et al. Prospective comparison of two algorithms combining non-invasive methods for staging liver fibrosis in chronic hepatitis C. , 2010, Journal of hepatology.
[135] Anne-Claire Vergnaud,et al. Liver stiffness values in apparently healthy subjects: influence of gender and metabolic syndrome. , 2008, Journal of hepatology.
[136] G. Feng,et al. A Survey on Analysis and Design of Model-Based Fuzzy Control Systems , 2006, IEEE Transactions on Fuzzy Systems.
[137] Martin J. Yaffe,et al. Biomechanical 3-D finite element modeling of the human breast using MRI data , 2001, IEEE Transactions on Medical Imaging.
[138] Y. Bando,et al. Wide Aspect TV Receiver with Aspect Detection and Non-Linear Control for Picture Quality , 1994, IEEE International Conference on Consumer Electronics.
[139] Jun Xiao,et al. Fuzzy controller for wall-climbing microrobots , 2004, IEEE Transactions on Fuzzy Systems.
[140] Motohide Umano,et al. Neuro-fuzzy hybrid control system of tank level in petroleum plant , 1996, IEEE Trans. Fuzzy Syst..
[141] P. Barach,et al. Reducing variation in adverse events during the academic year , 2009, BMJ : British Medical Journal.
[142] Hani Hagras,et al. A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots , 2004, IEEE Transactions on Fuzzy Systems.
[143] Gábor Székely,et al. Simultaneous Topology and Stiffness Identification for Mass-Spring Models Based on FEM Reference Deformations , 2004, MICCAI.
[144] Sylvie Galichet,et al. Observer-based fuzzy adaptive control for a class of nonlinear systems: real-time implementation for a robot wrist , 2004, IEEE Transactions on Control Systems Technology.
[145] Hideyuki Takagi. Application of neural networks and fuzzy logic to consumer products , 1992, Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation.
[146] Cagatay Basdogan,et al. Surgical Simulation: An Emerging Technology for Training in Emergency Medicine , 1997, Presence: Teleoperators & Virtual Environments.
[147] Markus H. Gross,et al. Interactive simulation of surgical cuts , 2000, Proceedings the Eighth Pacific Conference on Computer Graphics and Applications.
[148] Demetri Terzopoulos,et al. Deformable models , 2000, The Visual Computer.
[149] Shigeo Abe,et al. Neural Networks and Fuzzy Systems , 1996, Springer US.
[150] C. J. Kim,et al. An algorithmic approach for fuzzy inference , 1997, IEEE Trans. Fuzzy Syst..
[151] P. Martin Larsen,et al. Industrial applications of fuzzy logic control , 1980 .
[152] A. Ziv,et al. Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review , 2005, Medical teacher.
[153] James M. Keller,et al. Fuzzy Models and Algorithms for Pattern Recognition and Image Processing , 1999 .
[154] John Vozenilek,et al. See one, do one, teach one: advanced technology in medical education. , 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.
[155] Seong-Ik Jang,et al. A fuzzy-control processor for automatic focusing , 1994 .
[156] Andrew H. Sung,et al. The application of fuzzy logic to JPEG , 1994 .
[157] J. Mendel. Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.
[158] Helge-Björn Kuntze,et al. A neuro-fuzzy supervisory control system for industrial batch processes , 2001, IEEE Trans. Fuzzy Syst..
[159] Mark A. Ganter,et al. Real-time finite element modeling for surgery simulation: an application to virtual suturing , 2004, IEEE Transactions on Visualization and Computer Graphics.
[160] Derek A. Linkens,et al. SIVA: a hybrid knowledge-and-model-based advisory system for intensive care ventilators , 2004, IEEE Transactions on Information Technology in Biomedicine.
[161] Kathleen R Rosen,et al. The history of medical simulation. , 2008, Journal of critical care.
[162] R Clavel,et al. Force feedback for virtual reality based minimally invasive surgery simulator. , 1996, Studies in health technology and informatics.
[163] M A Srinivasan,et al. Thin walled models for haptic and graphical rendering of soft tissues in surgical simulations. , 1999, Studies in health technology and informatics.
[164] Thomas Ertl,et al. Large steps in GPU-based deformable bodies simulation , 2005, Simul. Model. Pract. Theory.
[165] Herve Delingette,et al. Real-Time Elastic Deformations of Soft Tissues for Surgery Simulation , 1999, IEEE Trans. Vis. Comput. Graph..
[166] Abraham Kandel,et al. ATM traffic management and congestion control using fuzzy logic , 1999, IEEE Trans. Syst. Man Cybern. Part C.
[167] Leif Kobbelt,et al. Using Simulated Annealing to Obtain Good Nodal Approximations of Deformable Bodies , 1995 .
[168] Rafael Kelly,et al. A novel global asymptotic stable set-point fuzzy controller with bounded torques for robot manipulators , 2005, IEEE Transactions on Fuzzy Systems.
[169] Christian Andres Diaz Leon,et al. Simulating soft tissues using a GPU approach of the mass-spring model , 2010, 2010 IEEE Virtual Reality Conference (VR).
[170] Bor-Sen Chen,et al. Intelligent Robust Tracking Controls for Holonomic and Nonholonomic Mechanical Systems Using Only Position Measurements , 2005, IEEE Trans. Fuzzy Syst..
[171] P. Meseure,et al. Deformable Body Simulation with adaptive subdivision and cuttings , 1997 .
[172] J. Rosen,et al. Virtual reality in surgical training. , 2000, Surgical oncology clinics of North America.
[173] P. Guillemin. Fuzzy logic applied to motor control , 1996 .
[174] S.R. Munasinghe,et al. Adaptive neurofuzzy controller to regulate UTSG water level in nuclear power plants , 2005, IEEE Transactions on Nuclear Science.
[175] Mauro Ferrari,et al. Integration of biomechanical parameters in tetrahedral mass-spring models for virtual surgery simulation , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[176] A. Duffy,et al. Evolution of surgical skills training. , 2006, World journal of gastroenterology.
[177] S. Ahn,et al. What are ‘true normal’ liver stiffness values using FibroScan®?: a prospective study in healthy living liver and kidney donors in South Korea , 2010, Liver international : official journal of the International Association for the Study of the Liver.
[178] T. Abdelazim,et al. An adaptive power system stabilizer using on-line self-learning fuzzy systems , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).
[179] Julien Vergniol,et al. Diagnosis of fibrosis and cirrhosis using liver stiffness measurement in nonalcoholic fatty liver disease , 2010, Hepatology.
[180] S. Chiu,et al. Fuzzy logic for control of roll and moment for a flexible wing aircraft , 1991, IEEE Control Systems.
[181] Hervé Delingette,et al. Fast porous visco-hyperelastic soft tissue model for surgery simulation: application to liver surgery. , 2010, Progress in biophysics and molecular biology.
[182] Pat Hanrahan,et al. Brook for GPUs: stream computing on graphics hardware , 2004, SIGGRAPH 2004.
[183] Yohan Payan,et al. Accurate Interactive Animation of Deformable Models at Arbitrary Resolution , 2010, Int. J. Image Graph..
[184] Ching-Lung Lai,et al. Clinical Application of Transient Elastography (Fibroscan ) in Liver Diseases , 2009 .
[185] Tzuu-Hseng S. Li,et al. Fuzzy target tracking control of autonomous mobile robots by using infrared sensors , 2004, IEEE Transactions on Fuzzy Systems.
[186] Michio Sugeno,et al. A fuzzy-logic-based approach to qualitative modeling , 1993, IEEE Trans. Fuzzy Syst..
[187] Thomas S. Huang,et al. Estimating Cloth Draping Parameters from Range Data , 2016 .
[188] Hee-Sang Ko,et al. Power system stabilization using fuzzy-neural hybrid intelligent control , 2002, Proceedings of the IEEE Internatinal Symposium on Intelligent Control.
[189] Mohammad Javad Yazdanpanah,et al. Identification and control of a nuclear reactor core (VVER) using recurrent neural networks and fuzzy systems , 2003 .
[190] Zeungnam Bien,et al. Design of expandable fuzzy inference processor , 1994 .
[191] S Abrahamson,et al. COMMENTARY , 1969, Quality and Safety in Health Care.
[192] Thomas Sangild Sørensen,et al. Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDA , 2008, ISBMS.