Real-time Knowledge-based Fuzzy Logic Model for Soft Tissue Deformation

[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.