Publications


  • Asmail Muftah, SM Shermer, Frank C Langbein. Texture Feature Analysis for Classification of Early-Stage Prostate Cancer in mpMRI. Proc AI in Healthcare (AIiH), Swansea, UK, September 2024.

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  • E Alwadee, X Sun, Y Qin, FC Langbein. Assessing and Enhancing the Robustness of Brain Tumor Segmentation using a Probabilistic Deep Learning Architecture. Proc ISMRM and ISMRT Annual Meeting and Exhibition, Singapore, May 2024.


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  • E Alwadee, X Sun, Y Qin, FC Langbein. LATUP-Net: A Lightweight 3D Attention U-Net with Parallel Convolutions for Brain Tumor Segmentation. Preprint, 2024.

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  • S. P. O’Neil, C. A. Weidner, E. A. Jonckheere, F. C. Langbein, S. G. Schirmer. Robustness of Dynamic Quantum Control: Differential Sensitivity Bounds. AVS Quantum Sci. 6, 032001, 2024.


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  • C. A. Weidner, E. A. Reed, J. Monroe, S. O’Neil, E. Maas, E. A. Jonckheere, F. C. Langbein, S. G. Schirmer. Robust Quantum Control in Closed and Open Systems: Theory and Practice. Preprint, 2023.

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  • E Jonckheere, SG Schirmer, FC Langbein, CA Weidner, S O’Neil. Disturbance-agnostic robust performance with structured uncertainties and initial state error in classical versus quantum oscillatory systems. Preprint, 2023.

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  • I Khalid, CA Weider, EA Jonckheere, SG Shermer, FC Langbein. Sample-efficient Model-based Reinforcement Learning for Quantum Control. Phys. Rev. Research 5, 043002, 2023.


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  • Irtaza Khalid, Carrie Weidner, S.G. Schirmer, Edmond Jonckheere, Frank C. Langbein. Sample-efficient Model-based Reinforcement Learning for Quantum Control. Poster, BQIT:23, 2023.

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  • SP O’Neil, I Khalid, AA Rompokmos, CA Weidner, FC Langbein, S Schirmer, EA Jonckmheere. Analyzing and Unifying Robustness Measures for Excitation Transfer Control in Spin Networks. IEEE Control Systems Letters, 7:1783-1788, 2023. Also accepted for presentation at the IEEE Conf. Decision and Control (CDC) 2023.

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  • S O’Neil, FC Langbein, E Jonckheere, SG Shermer. Robustness of Energy Landscape Control to Dephasing.
    Research Directions: Quantum Technologies, 1, E13, 2023.


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  • S O’Neil, FC Langbein, E Jonckheere, SG Shermer. Robustness of Energy Landscape Controllers for Spin Rings under Coherent Excitation Transport. Research Directions: Quantum Technologies, Volume 1, e12, 2023.


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  • S. O’Neil, S.G. Schirmer, F.C. Langbein, C.A. Weidner, E. Jonckheere. Time Domain Sensitivity of the Tracking Error. IEEE Transactions on Automatic Control, 2023.

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  • A.A. Rompokos, F.C. Langbein, E.A. Jonckheere. Information Transfer in Spintronics Networks under Worst Case Uncertain Parameter Errors. IEEE Conf Decision and Control, pp. 5825-5830, 2022.

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  • C.A. Weidner, S.G. Schirmer, F.C. Langbein, E.A. Jonckheere. Applying Classical Control Techniques to Quantum Systems: Entanglement versus Stability Margin and other Limitations. IEEE Conf Decision and Control, pp. 5813-5818, 2022.

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  • I. Khalid, C. A. Weidner, E. A. Jonckheere, S. G. Shermer, F. C. Langbein. Statistically Characterising Robustness and Fidelity of Quantum Controls and Quantum Control Algorithms. Phys. Rev. A, 107, 032606, 2023.

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  • F.C. Langbein. Learning to Control Quantum Systems Robustly. AI3SD Video: Learning to Control Quantum Systems Robustly, 10/11/2021. AI3SD Autumn Seminar Series 2021. 13 Oct – 15 Dec 2021.

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  • Irtaza Khalid, Carrie Weidner, S.G. Schirmer, Edmond Jonckheere, Frank C. Langbein. Finding and Characterising Robust Quantum Controls. Poster, BQIT:22, 2022.

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  • E. Jonckheere, S. G. Schirmer, F. C. Langbein, C. A. Weidner. Noiseless robust performance with structured uncertainties and initial state error. Preprint 2022.

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  • SG Schirmer, FC Langbein, CA Weidner, EA Jonckheere. Robustness of Quantum Systems Subject to Decoherence: Structured Singular Value Analysis?. IEEE Conf Decision and Control, pp. 4158-4163, 2021.

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  • Irtaza Khalid, Carrie Weidner, S.G. Schirmer, Edmond Jonckheere, Frank C. Langbein. Finding and Characterising Robust Quantum Controls. Poster, European Quantum Technologies Conference EQTC, 2021.

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  • I. Khalid, C. A. Weidner, E. A. Jonckheere, S. G. Schirmer, F. C. Langbein. Reinforcement Learning vs. Gradient-Based Optimisation for Robust Energy Landscape Control of Spin-1/2 Quantum Networks. IEEE Conf Decision and Control, pp. 4133-4139, 2021.

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  • Sophie G. Schirmer, Frank C. Langbein, Carrie A. Weidner, Edmond Jonckheere. Robust Control Performance for Open Quantum Systems. IEEE Trans Automatic Control, 67(11):6012-6024, 2022.

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  • E. Jonckheere, S. Schirmer, F. C. Langbein. Effect of Quantum Mechanical Global Phase Factor on Error vs Sensitivity Limitation in Quantum Routing. Accepted, 58th IEEE Conf. Decision and Control (CDC), 2019.

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  • M. Chandler, C. Jenkins, S. M. Shermer, F. C. Langbein. MRSNet: Metabolite Quantification from Edited Magnetic Resonance Spectra With Convolutional Neural Network. Submitted, 2019.

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  • C. Jenkins, M. Chandler, F. C. Langbein, S. M. Shermer. Benchmarking GABA Quantification: A Ground Truth Data Set and Comparative Analysis of TARQUIN, LCModel, jMRUI and Gannet. Submitted, 2021.

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  • JE Evans, G Burwell, FC Langbein, SG Shermer, K Kalna. Dilute Magnetic Contact for a Spin GaN HEMT. Semiconductor and Integrated OptoElectronics Conference (SIOE) Conference, Cardiff, 16-18 April, 2019.

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  • Christopher Jenkins, Max Chandler, Frank Langbein, Sophie Shermer. Quantification of edited magnetic resonance spectroscopy: a comparative phantom based study of analysis methods. ISMRM 27th Annual Meeting & Exhibition, Montréal, QC, Canada, 11th-16th May 2019.

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  • S. Schirmer, E. Jonckheere, S. O’Neil, F. C. Langbein. Robustness of energy landscape control for spin networks under decoherence. Proc. IEEE 57th Annual Conference on Decision and Control (CDC), Miami Beach, FL, pp. 6608-6613, 2018.

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  • E. Jonckheere, S. Schirmer, F. Langbein. Cover Image – International Journal of Robust and Nonlinear Control 28(6) 2018.

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  • Sean O’Neil, Edmond Jonckheere, Sophie Schirmer, Frank Langbein. Sensitivity and Robustness of Quantum Spin-1/2 Rings to Parameter Uncertainty. Proc. IEEE 56th Annual Conference on Decision and Control (CDC), Melbourne, VIC, pp. 6137-6142, 2017.

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  • B. Thorpe, K. Kalna, F. C. Langbein, S. G. Schirmer. Spin Recovery in the 25nm Gate Length InGaAs Field Effect Transistor. In: Proc. Int. Workshop on Computational Nanotechnology, pp. 168-169, Windermere, UK, 6-9 June, 2017.

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  • E. A. Jonckheere, S. G. Schirmer, F.C. Langbein. Structured Singular Value Analysis for Spintronics network Information Transfer Control. IEEE Trans Automatic Control, 62(12):6568-6574, 2017.

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  • E. Jonckheere, S. G. Schirmer, F.C. Langbein. Jonckheere-Terpstra test for nonclassical error versus log-sensitivity relationship of quantum spin network controllers. Int J Robust and Nonlinear Control, 28(6):2383-2403, 2018.

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  • B. Thorpe, K. Kalna, F.C. Langbein, S.G. Schirmer. Monte Carlo Simulations of Spin Transport in Nanoscale InGaAs Field Effect Transistors. J Applied Physics, 122, 223903, 2017.

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  • S. G. Schirmer, E. Jonckheere, F. C. Langbein. Design of Feedback Control Laws for Information Transfer in Spintronics Networks. IEEE Trans Automatic Control, 63(8):2523-2536, 2018.

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  • N. Rahimi, P. Kerfriden, F. C. Langbein, R.R. Martin. CAD Model simplification error estimation for electrostatics problems. SIAM J. Sci. Comput. 40(1):B196–B227, 2018.

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  • F. C. Langbein, S. G. Schirmer, E. Jonckheere. Time optimal information transfer in spintronics networks. Proc. IEEE 54th Annual Conference on Decision and Control (CDC), pp. 6454-6459, Osaka, Japan, December 15-18, 2015.

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  • E. Jonckheere, F. C. Langbein, S. G. Schirmer. Information Transfer Fidelity in Spin Networks and Ring-based Quantum Routers. Quantum Information Processing, 14(12):4761-4785, 2015.

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  • Z. Niu, R. R. Martin, M. A. Sabin, F. C. Langbein, J. H. Bucklow. Applying Database Optimization Technologies to Feature Recognition in CAD. Computer-Aided Design and Applications 12(3):373-382, 2015.

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  • Z.-B. Niu, R. R. Martin, F. C. Langbein, M. A. Sabin. Rapidly Finding CAD Features Using Database Optimisation. Computer Aided Design, 69:35-50, 2015.

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  • Sophie Schirmer, Frank Langbein. The ubiquitous problem of learning system parameters for dissipative two-level quantum systems: Fourier analysis versus Bayesian estimation. Phys Rev A, 91:022125, 2015.

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  • S. G. Schirmer, F. C. Langbein. Characterization and Control of Quantum Spin Chains and Rings. In: Proc. 6th Int Symp Communications, Control and Signal Processing (ISCCSP), pp. 615 – 619, May 2014.

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  • E. Jonckheere, F. C. Langbein, S. Schirmer. Quantum networks: Anti-core of spin chains. Quantum Information Processing. 13(7):1607-1637, 2014.

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  • Z. Niu, R. R. Martin, M. A. Sabin, F. C. Langbein, J. H. Bucklow. Applying Database Optimization Technologies to Feature Recognition in CAD. Extended Abstract. International CAD Conference and Exhibition (CAD’14), Hong Kong University of Science and Technology, June 23-26, 2014.

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  • J.A. Quinn, F. C. Langbein, Y.-K. Lai, R. R. Martin. Fast Low-discrepancy Sampling of Parametric Surfaces and Meshes. Proc. Maths of Surfaces XIV (CD ROM), Institute of Mathematics and its Applications, 2013.

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  • J.A. Quinn, F. C. Langbein, Y.-K. Lai, R. R. Martin. Generalised Anisotropic Stratified Surface Sampling. IEEE Trans. Visualization and Computer Graphics 19 (7), 1143-1157, 2013.

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  • J. Wu, R. R. Martin, P. L. Rosin, X-F. Sun, F. C. Langbein, Y.-K. Lai, A. D. Marshall, Y.-H. Liu. Making Bas-reliefs from Photographs of Human Faces. Computer Aided Design 45(3):671-682, 2013.

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  • G. K. L. Tam, Z.-Q. Cheng, Y.-K. Lai, F. C. Langbein, Y.-H. Liu, A. D. Marshall, R. R. Martin, P. L. Rosin, X-F. Sun. Registration of 3D Point Clouds and Meshes: A Survey From Rigid to Non-Rigid. IEEE Trans. Visualization and Computer Graphics 19(7):1199-1217, 2013.

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  • O. Van Laere, S. Schockaert, J. A. Quinn, F. C. Langbein, B. Dhoedt. Ghent and Cardiff University at the 2012 Placing Task. Working Notes Proceedings of the MediaEval 2012 Workshop, Santa Croce in Fossabanda, Pisa, Italy, October 4-5, 2012.

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  • E. Jonckheere, F. C. Langbein, S. G. Schirmer. Curvature of quantum rings. In: Proc. 5th Int Symp Communications Control and Signal Processing (ISCCSP), pp. 1-6, 2012.

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  • J.A. Quinn, F. Sun, F. C. Langbein, Y.-K. Lai, W. Wang, R. R. Martin. Improved Initialisation for Centroidal Voronoi Tessellation and Optimal Delaunay Triangulation. Computer Aided Design, 44(11):1062-1071, 2012.

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  • E Jonckheere, S G Schirmer, F C Langbein. Geometry and Curvature of Spin Networks. IEEE International Conference on Control Applicatons, pp. 786-791, 2011.

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  • F. C. Langbein, S. G. Schirmer. Quantum Engineering: From Einstein’s Spooky Action to Sustainable Technology? In: IEEE GOLDRush newsletter, peer-reviewed contribution, pp. 14-15, September 2010.

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  • W. Li, R. R. Martin, F. C. Langbein. Merging and Smoothing Machining Boundaries on Cutter Location Surfaces. In: Proc. ACM Symp. Solid and Physical Modeling, pp. 165-170, 2010.

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  • S. G. Schirmer, F. C. Langbein. Quantum System Identification: Hamiltonian Estimation using Spectral and Bayesian Analysis. In: Proc. 4th Int. Symp. Communications, Control and Signal Processing, Limassol, Cyprus, 3-5 March 2010, pp. 1-5, ISCCSP 2010.

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  • M. Li, F. C. Langbein, R. R. Martin. Detecting Design Intent in Approximate CAD Models Using Symmetry. Computer-Aided Design, 42(3):183-201, 2010.

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  • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Bas-Relief Generation Using Adaptive Histogram Equalisation. IEEE Trans. Visualization and Computer Graphics, 15(4):642-653,2009.

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  • W. Li, R. R. Martin, F. C. Langbein. Molds for Meshes: Computing Smooth Parting Lines and Undercut Removal. IEEE Transactions on Automation Science, 6(3):423-432, 2009.

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  • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise Analysis and Synthesis for 3D Laser Depth Scanners. Graphical Models

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  • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Random Walks for Feature-Preserving Mesh Denoising. Computer-Aided Geometric Design

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  • Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein. Noise in 3D Laser Range Scanner Data. In: Proc. IEEE Conf. Shape Modelling and Applications, IEEE Computer Society, p. 37-45, 2008.

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  • F. C. Langbein, M. Li, R. R. Martin. A Comment on ‘Constructing Regularity Feature Trees for Solid Models’. In: Advances in Geometric Modeling and Processing, Proc. Geometric Modelling and Processing, Springer LNCS, 4975:603, 2008.

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  • M. Li, F. C. Langbein, R. R. Martin. Detecting Approximate Symmetries of Discrete Point Subsets. Computer-Aided Design, 40(1):76-93, 2008.

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  • S. Liu, R. R. Martin, F. C. Langbein, P. L. Rosin. Segmenting Periodic Reliefs on Triangle Meshes. In: R. R. Martin, M. A. Sabin, J. J. Winkler (eds), Maths of Surfaces XII, Springer LNCS, 4647:290-306, 2007.

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  • X.-F. Sun, P. L. Rosin, R. R. Martin, F. C. Langbein. Fast and Effective Feature-Preserving Mesh Denoising. IEEE Trans. Visualization and Computer Graphics, 13(5):925-938, 2007.

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  • M. Li, F. C. Langbein, R. R. Martin. Detecting Approximate Incomplete Symmetries in Discrete Point Sets. In: Proc. ACM Symp. Solid and Physical Modeling, pp. 335-340, ACM Siggraph 2007.

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  • W. Li, R. R. Martin, F. C. Langbein. Generating Smooth Parting Lines for Mold Design for Meshes. In: Proc. ACM Symp. Solid and Physical Modeling, pp. 193-204, ACM Siggraph 2007.

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  • X.-F. Sun, P. L. Rosin, R. R. Martin, F. C. Langbein. Random Walks for Mesh Denoising. In: Proc. ACM Symp. Solid and Physical Modeling, pp. 11-22, ACM Siggraph 2007.

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  • S.-L. Liu, R. R. Martin, F. C. Langbein, P. L. Rosin. Segmenting Geometric Reliefs from Textured Background Surfaces. Computer-Aided Design and Applications, 4(5):565-583, 2007.

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  • S. Liu, R. R. Martin, F. C. Langbein, P. L. Rosin. Background Surface Estimation for Reverse Engineering of Reliefs. Int. J. CAD/CAM, 7(4), 2007.

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  • J. A. Quinn, F. C. Langbein, R. R. Martin. Low-Discrepancy Sampling of Meshes for Rendering. In: Proc. Symp. Point-Based Graphics, Eurographics Assocication, pp. 19-28, 2007.

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  • M. Li, F. C. Langbein, R. R. Martin. Constructing Regularity Feature Trees for Solid Models. In: M.-S. Kim, K. Shimada (eds), Proc. Geometric Modeling and Processing, Springer LNCS, 4077:267-286, 2006.

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  • J. A. Quinn, F. C. Langbein, R. R. Martin, G. Elber. Density-Controlled Sampling of Parametric Surfaces Using Adaptive Space-Filling Curves. In: M.-S. Kim, K. Shimada (eds), Proc. Geometric Modeling and Processing, Springer LNCS, 4077:465-484, 2006.

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  • S. Liu, R. R. Martin, F. C. Langbein, P. L. Rosin. Segmenting Reliefs on Triangle Meshes. In: Proc. ACM Symp. Solid and Physical Modeling, pp. 7-16, 2006.

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  • C. H. Gao, F. C. Langbein, A. D. Marshall, R. R. Martin. Local Topological Beautification of Reverse Engineered Models. Computer-Aided Design, 36(13):1337-1355, 2004.

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  • C. H. Gao, F. C. Langbein, A. D. Marhall, R. R. Martin, Y. Li, Z. Yang. Partial Approximate Symmetry Detection of Geometric Model. Materials Science Forum, 471-472:702-706, 2004.

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  • F. C Langbein, C. H. Gao, B. I. Mills, A. D. Marshall, R. R. Martin. Topological and Geometric Beautification of Reverse Engineered Geometric Models. In: G. Elber, P. Brunet (eds), Proc. ACM Symp. Solid Modelling and Applications, pp. 255-260, 2004.

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  • F. C. Langbein, A. D. Marshall, R. R. Martin. Choosing Consistent Constraints for Beautification of Reverse Engineered Geometric Models, Computer-Aided Design, 36(3):261-278, 2004.

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  • F. C. Langbein. Beautification of Reverse Engineered Geometric Models. PhD Thesis, Department of Computer Science, Cardiff University, June 2003.

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  • C. H. Gao, F. C. Langbein, A. D. Marshall, R. R. Martin. Approximate Congruence Detection of Model Features for Reverse Engineering. In: M.-S. Kim (ed), Proc. Int. Conf. Shape Modelling and Applications, IEEE Computer Society, pp. 69-77, 2003.

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  • F. C. Langbein, A. D. Marshall, R. R. Martin. Numerical Methods for Beautification of Reverse Engineered Geometric Models. In: H. Suzuki, R. R. Martin (eds), Proc. Geometric Modeling and Processing, IEEE Computer Society, pp. 159-168, 2002.

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  • F.C. Langbein, B.I. Mills, A.D. Marshall, R.R. Martin. Approximate Geometric Regularities. Int. J. Shape Modeling, 7(2):129-162, 2001.

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  • F. C. Langbein, B. I. Mills, A. D. Marshall, R. R. Martin. Finding Approximate Shape Regularities for Reverse Engineering. J. Computing and Information Science in Engineering, 1(4): 282-290, 2001.

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  • F. C. Langbein, B. I. Mills, A. D. Marshall, R. R. Martin. Recognizing Geometric Patterns for Beautification of Reconstructed Solid Models. In: Proc. Int. Conf. Shape Modelling and Applications, IEEE Computer Society, pp. 10-19, 2001.

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  • B. I. Mills, F. C. Langbein, A. D. Marshall, R. R. Martin. Approximate Symmetry Detection for Reverse Engineering. In: D. C. Anderson, K. Lee (eds), Proc. ACM Symp. Solid Modelling and Applications, pp. 241-248, 2001.

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  • F. C. Langbein, B. I. Mills, A. D. Marshall, R. R. Martin. Finding Approximate Shape Regularities in Reverse Engineered Solid Models Bounded by Simple Surfaces. In: D. C. Anderson, K. Lee (eds), Proc. ACM Symp. Solid Modelling and Applications, pp. 206-216, 2001.

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  • B. I. Mills, F. C. Langbein, A. D. Marshall, R. R. Martin. Estimate of Frequencies of Geometric Regularities for Use in Reverse Engineering of Simple Mechanical Components. Technical Report GVG 2001-1, Computational Geometry and Computer Vision Group, Dept. Computer Science, Cardiff University, 2001.

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  • F. C. Langbein. Visualisation of Functionals on Freeform Surfaces. Diploma thesis, Mathematical Institute A, 2nd Chair, Stuttgart University, May 1999.

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  • F. C. Langbein, S. G. Schirmer, K. Organtzoglou. The PIDS Algorithm. Technical Report, Mathematical Institute A, Stuttgart University, 1995.

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