JOURNAL PUBLICATIONS

While at Old Dominion

  • JZ Zhang, XX Zhang, M.A. Audette, “A photothermal model of selective photothermolysis with dynamically changing vaporization temperature”, Lasers in Medical Science, 26(5):633-640, Sept. 2011. Impact factor (2012): 2.402.
  • M.A. Audette, “A Review of Anatomical and Constitutive Modeling in Medical Simulation”, SCS Magazine, 3(1): 1-10, Jan. 2012. Impact Factor (2012): 0.692.
  • R. Haq, D. Besachio, R. Borgie, M.A. Audette, “3D Lumbar Spine Intervertebral Disc Segmentation and Compression Simulation from MRI using Shape-Aware Models”, Int. J. Computer Assisted Radiology and Surgery, July 2014; ISI Impact factor: 1.66.
  • F.D. McKenzie, S. Chemlal, T. Hubbard, R.E. Kelly, R.C. Borgie, D.A, Besachio, M. Audette, “Engineering Collaborations in Medical Modeling and Simulation”, Journal of Medical and Surgical Research, Vol. 1, No. 1. 2014.
  • Val-Laillet D., Aarts E., Weber B., Ferrari M., Quaresima V., Stoeckel L.E., Alonso-Alonso M., Audette M., Malbert C.H., Stice E., “Neuroimaging and neuromodulation approaches to study eating behavior, prevent and treat eating disorders and obesity”, Neuroimage; 2015 Mar 24;8:1-31. doi: 10.1016/j.nicl.2015.03.016. ISI Impact factor: 6.252.
  • R. Aras, Y. Shen, M. Audette, “An Analytic Meshless Enrichment Function for Handling Discontinuities in Interactive Surgical Simulation”, Advances in Engineering Software; Volume 102, December 2016, Pages 40–48. http://dx.doi.org/10.1016/j.advengsoft.2016.08.011. ISI Impact factor 1.673.
  • T. Rashid, S. Sultana, M.A. Audette, “2-Manifold Surface Meshing Using Dual Contouring with Tetrahedral Decomposition”, Advances in Engineering Software. Accepted and posted on 9/26/2016. ISI Impact factor 1.673.

Prior to Old Dominion

  • M.A. Audette, F.P. Ferrie, & T.M. Peters, “An Algorithmic Overview of Surface Registration Techniques for Medical Imaging”, Medical Image Analysis, 5-Year Impact Factor: 4.662. Elsevier Science, 4 (3): 201-217.
  • M.A. Audette, K. Siddiqi, F.P. Ferrie & T.M. Peters, “An Integrated Range-sensing, Segmentation and Registration Framework for the Characterization of Intra-surgical Brain Deformations in Image-Guided Surgery”, Computer Vision and Image Understanding, Impact: 2.202. Academic Press, 89(2/3): 226-251, Feb.-March 2003.
  • M. Descôteaux, M.A. Audette, K. Chinzei, & K. Siddiqi, “Bone enhancement filtering: application to sinus bone segmentation and simulation of pituitary surgery”, Journal of Computer Aided Surgery, Impact: 1.331; Taylor & Francis, 11(5): 247-55, Sept. 2006.
  • M.A. Audette, H. Delingette, A. Fuchs, O. Astley and K. Chinzei, “A Topologically Faithful, Tissue-guided, Spatially Varying Meshing Strategy for Computing Patient-specific Head Models for Endoscopic Pituitary Surgery Simulation”, Journal of Computer Aided Surgery, Impact Factor: 1.331; 12(1): 43–52; Jan. 2007.

 

BOOK CHAPTERS AND EDITORIALS

While at Old Dominion

  • M.A. Audette, A.N. Chernikov, N. P. Chrisochoides, “A Review of Mesh Generation for Medical Simulators”, Handbook of Real World Applications in Modeling and Simulation, ed. J. Sokolowski & C. Banks, Wiley, 2012.
  • M.A. Audette & H. Ladak, Special Issue on Medical Simulation – Editorial, Simulation, 89(12): 1419-1420, 2013.

Prior to Old Dominion

  • M.A. Audette, K. Siddiqi, F.P. Ferrie, T.M. Peters, Brain Shift Estimation for Image Guided Surgery Based on an Integrated Range sensing, Segmentation, and Registration Framework, Medical Imaging Systems: Technology & Applications, World Scientific, 2005.
  • M.A. Audette, I. Hertel, O. Burgert, & G. Strauss, A Tissue Relevance and Meshing Method for Computing Patient-specific Anatomical Models in Endoscopic Sinus Surgery Simulation, Advances in Computational Vision and Medical Image Processing, Springer, 2008.
  • M.A. Audette, M.I. Miga, J. Nemes, K. Chinzei, & T.M. Peters, A Review Of Biomechanical Modeling of the Brain for Intrasurgical Displacement Estimation and Medical Simulation, Biomechanical Systems, ed. CT Leondes, World Scientific Publ., 2008.

 

PEER-REVIEWED CONFERENCE PUBLICATIONS

While at Old Dominion

  • M.A. Audette, D. Riviere, M. Ewend, S. Valette, “Approach-guided Controlled Resolution Brain Meshing for FE-based Interactive Neurosurgery Simulation”, MICCAI Workshop on Mesh Processing in Medical Image Analysis, Toronto, 2011
  • F. Mahmud, A. Demuren, M.A. Audette, “Ultrasonic Surgical Aspirator Modeling for Brain Tumor Annihilation Simulation”, Proc. 8th Int. Symposium on Cavitation, Singapore, pp. 72-77, Aug. 2012.
  • X. Wu, J. Yao, A. Enquobahrie, HP Lee, M. Audette, “Integration of a Multigrid ODE Solver into an Open Medical Simulation Framework”, IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, pp. 3090-3, 2012.
  • Rifat Aras, Yuzhong Shen, Michel Audette, Stephane Bordas, “Meshless Elasticity Model and Contact Mechanics-based Verification Technique”, MICCAI Workshop on Computational Biomechanics for Medicine VIII, Nagoya, 2013.
  • R. Haq, R. Aras, D. Besachio, R. Borgie, M.A. Audette, “3D Lumbar Spine Intervertebral Disc Segmentation and Compression Simulation from MRI using Shape-Aware Models”, Int. Conf. on Computer Assisted Radiology and Surgery, Fukuoka, June 2014.
  • R. Haq, D. Besachio, R. Borgie, M.A. Audette, “Using Shape-Aware Models for Lumbar Spine Intervertebral Disc Segmentation”, Int. Conf. on Pattern Recognition, Stockholm, Aug. 2014.
  • R. Haq, R. Aras, D. Besachio, R. Borgie, M.A. Audette, “Minimally Supervised Segmentation and Meshing of 3D Intervertebral Discs of the Lumbar Spine for Discectomy Simulation”, MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging, Cambridge, MA, Sept.2014.
  • N. Patel, S. Sultana, M.A. Audette, “Contour models for descriptive patient-specific neuro-anatomical modeling: towards a digital brainstem atlas”, MICCAI Workshop on Computational Methods and Clinical Applications for Spine Imaging, Cambridge, MA, 2014.
  • N. Patel, S. Sultana, T. Rashid, D. Krusienski, M.A. Audette, “Application and histology-driven refinement of active contour models to functional region and nerve delineation: towards a digital brainstem atlas”, SPIE Conference on Medical Imaging, Orlando, 2015.
  • M. Audette, R. Haq, T. Rashid, S. Sultana, “Simplex-based surface and contour models for segmentation and meshing for surgery simulation”, SpringSim, Arlington, VA, 2015.
  • S. Sultana, J.E. Blatt, Y. Lee, M. Ewend, J.S. Cetas, A. Costa, M. Audette, “Patient-Specific Cranial Nerve Identification Using a Discrete Deformable Contour Model for Skull Base Neurosurgery Planning and Simulation”, MICCAI 4th Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging, Munich, Germany, 2015. Nominated for Best Paper.
  • R. Haq, J. Cates, D. Besachio, R. Borgie, M. Audette, “Statistical Shape Model Construction of Lumbar Vertebrae and Intervertebral Discs in Segmentation for Discectomy Surgery Simulation”, MICCAI 3rd Workshop on Methods and Clinical Applications in Spine Imaging, Munich, Germany, 2015.
  • Rashid T, Sultana S, Audette MA, “Watertight and 2-manifold surface meshes using Dual Contouring with tetrahedral decomposition of grid cubes”, International Meshing Roundtable, Washington, DC, 2016.
  • S. Sultana, P. Agrawal, S. Elhabian, R. Whitaker, T. Rashid, J. Blatt, M. Audette, “Towards a Statistical Shape-aware Deformable Contour Model for Cranial Nerve Identification”, MICCAI 5th Workshop on Clinical Image-based Procedures: Translational Research in Medical Imaging, Athens, Greece, 2016.

Prior to ODU

  • M. Audette, P. Cohen & J. Weng, “Shading-based Two-view Matching”, International Joint Conference on Artificial Intelligence (IJCAI), Sydney, Australia, August 1991.
  • M.A. Audette, K. Siddiqi, & T.M. Peters, “Level-set Surface Segmentation and Fast Cortical Range Image Tracking for Computing Intrasurgical Deformations”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Cambridge, England, pp. 788-797, 1999.
  • H. Kataoka, T. Washio, M.A. Audette, & K. Mizuhara, “A Model for Relations Between Needle Deflection, Force and Thickness on Needle Penetration”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Utrecht, Netherlands, pp. 966-974, 2001.
  • M.A. Audette & K. Chinzei, “Global Structure-preserving Voxel Classification for Patient-specific Surgical Simulation”, IEEE Conference of Engineering in Medicine and Biology Society (EMBS), Houston, 2002.
  • M.A. Audette, A. Fuchs, O. Astley, Y. Koseki & K. Chinzei, “Towards Patient-specific Anatomical Model Generation for Finite Element-based Surgical Simulation”, International Symposium on Surgical Simulation & Soft Tissue Modeling (IS4TM), LNCS 2073, pp. Juan-Les-Pins, France, 2003.
  • M.A. Audette & K. Chinzei, “The Application of Embedded and Tubular Structure to Tissue Identification for the Computation of Patient-specific Neurosurgical Simulation Models”, International Symposium on Medical Simulation, Boston, LNCS 3078, pp. 203-210, 2004.
  • M. Descôteaux, M.A. Audette, K. Chinzei, & K. Siddiqi, “Bone enhancement filtering: application to sinus bone segmentation and simulation of pituitary surgery”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), Palm Springs, 2005, pp. 9-16.
  • M.A. Audette, H. Delingette, A. Fuchs, O. Astley and K. Chinzei, “A Topologically Faithful, Tissue-guided, Spatially Varying Meshing Strategy for Computing Patient-specific Head Models for Endoscopic Pituitary Surgery Simulation”, Computer Vision for Biomedical Image Applications, Int’l. Conference on Computer Vision, Beijing, LNCS 3765, 178- 188, 2005.
  • C. Grühser, N. Ritter, G. Strauss, H. Maass, & M. Audette, “Development of a Tool-centered Collision Model for Volumetric Resection in ENT Surgery Simulation”, EuroHaptics, 2008.
  • M.A. Audette, R. Brooks, R. Funnell, G. Strauss, & T. Arbel, “Piecewise-affine initialized spline-based patient-specific registration of a high-resolution ear model for surgical guidance”, MICCAI Workshop on Image Guidance and Computer Assistance for Soft-Tissue Intervention, New York City, 2008.
  • F. Li, D. Bartz, L. Gu, M.A. Audette, “An Iterative Classification Method of 2D CT Head Data Based on Statistical and Spatial Information”, Int. Conf. Pattern Recognition, 2008.

 

PUBLISHED ABSTRACTS

While at ODU

  • M.A. Audette, T. Rashid, M.M. Chakravarty, J.T. Guo, B. Gilles, G.S. Fischer, “Towards Digital Atlas- and MRA-guided, Intraoperative MRI-registered Robotic Deep Brain Therapy”, IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, USA, Aug. 2012.
  • M.A. Audette, R. Haq, T. Rashid, S. Sultana, M. Ewend, J.E. Blatt, Y. Lee, J. Cetas, P. Pang, J. Pilitsis, A. Costa, J. Butman, “Deformable and Contour Models for Neuroanatomical Modeling Suitable for Neurosurgery Planning and Simulation”, Virginia BrainRX Symposium, May 2016, Richmond, VA.
  • M.A. Audette, “Deformable and Contour Models for Neuroanatomical Modeling Suitable for Neurosurgery Planning and Simulation”, 1st International Conference of Digital Medicine & Medical 3D Printing, June 2016, Nanjing, China.

Prior to ODU

  • M.A. Audette & T.M. Peters, “Level-set Surface Segmentation and Registration for Computing Intrasurgical Deformations”, SPIE Conf. on Medical Imaging, San Diego, 1999.
  • M.A. Audette, H. Delingette, A. Fuchs, Y. Koseki, & K. Chinzei, “A Procedure for Computing Patient-specific Anatomical Models for Finite Element-based Surgical Simulation”, Computer Assisted Radiology and Surgery (CARS), London, 2003.
  • M.A. Audette, O. Astley, M. Doyon, V. Hayward, G. McCallister, & K. Chinzei, “A PC-based System Architecture for Real-time Finite Element-based Tool-specific Surgical Simulation”, Computer Assisted Radiology and Surgery (CARS), Chicago, 2004.
  • M.A. Audette, M. Descôteaux, H. Delingette, & K. Chinzei, “A Minimally Supervised Image Processing Pipeline for Computing FE-ready Anatomical Models for Neurosurgical Simulation”, Computer Assisted Radiology and Surgery (CARS), Berlin, 2005.
  • M.A. Audette, V. Hayward, Y. Koseki, & I. Sinclair, “Towards a flexible 7-DOF haptic device for tool-specific surgical simulation, with applications to simulating trans-nasal pituitary surgery”, Computer Assisted Radiology and Surgery (CARS), Osaka, 2006.
  • M.A. Audette, H. Delingette, A. Fuchs and K. Chinzei, “A Topologically Faithful, Tissue-guided, Spatially Varying Meshing Strategy for the Computation of Patient-specific Head Models for Endoscopic Pituitary Surgery Simulation”, Medicine Meets Virtual Reality, Long Beach, California, 2006.
  • M.A. Audette, V. Slowik, H. Steinke, & J. Böhme, “Towards Minimally Supervised Patient-specific Biomechanically Guided Pelvic Trauma Surgery”, CompMed, Montreal, May 2007.
  • M.A. Audette, I. Hertel, O. Burgert, & G. Strauss, “A Tissue Relevance and Meshing Method for Computing Patient-specific Anatomical Models in Endoscopic Sinus Surgery Simulation”, VIPImage Conf. Computational Vision and Medical Image Processing, Porto, Oct. 2007.
  • M. Audette, C. Grühser, N. Ritter, M. Voigt, H. Maass, A. Dientz, G. Strauss, “Achieving Interactive Biomechanical, Patient-specific Simulation of the Blakesley Forceps in Sinus Surgery”, Computer Aided Surgery around the Head, CAS-H, Leipzig, Germany, 2008.
  • O. Gress, D. Lindner, C. Trantakis, J. Meixensberger, G. Strauss, J. Han, J. Hornegger, M. Audette, “Minimally Supervised Method for Identifying Cranial Nerves in Histological Data”, Computer Aided Surgery around the Head, CAS-H, Leipzig, Germany, 2008.
  • F. Li, G. Strauss, C. Trantakis, M.A. Audette, “An Iterative Classification Method Of 2D CT Head Data Based On Statistical And Spatial Information”, Computer Aided Surgery around the Head, CAS-H, Leipzig, Germany, 2008.
  • M. A. Audette, A. Kolahi, A. Enquobahrie, C. Gatti, K.R. Cleary, “Reducing depth uncertainty in large surgical workspaces, with applications to veterinary medicine”, SPIE Conference on Medical Imaging, Orlando, pp. 762525-762525-7, 2010.