PUBLICATIONS
Journal Papers
1) Pandolfi, R. J., Allan, D. B., Arenholz, E., Barroso-Luque, L., Campbell, S. I., Caswell, T. A., Blair, A., De Carlo, F., Fackler, S., Fournier, A. P., Freychet, G., Fukuto, M., Gursoy, ., Jiang, Z., Krishnan, H., Kumar, D., Kline, R. J., Li, R., Liman, C., Marchesini, S., Mehta, A., N'Diaye, A. T., Parkinson, D. Y., Parks, H., Pellouchoud, L. A., Perciano, T., Ren, F., Sahoo, S., Strzalka, J., Sunday, D., Tassone, C. J., Ushizima, D., Venkatakrishnan, S., Yager, K. G., Zwart, P., Sethian, J. A. & Hexemer, A., "Xi-cam: a versatile interface for data visualization and analysis", J. Synchrotron Rad. 25(4), April 2018.
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2) Young-Sang Yu, Maryam Farmand, Chunjoong Kim, Yijin Liu, Clare P. Grey, Fiona C. Strobridge, Tolek Tyliszczak, Rich Celestre, Peter Denes, John Joseph, Harinarayan Krishnan, Filipe R. N. C. Maia, A. L. David Kilcoyne, Stefano Marchesini, Talita Perciano, Tony Warwick, Howard Padmore, Jordi Cabana & David A. Shapiro, "Three-dimensional localization of nanoscale battery reactions using soft X-ray tomography", Nature Communications, 9(921), March 2018
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3) T. Perciano, D. Ushizima, H. Krishnan, D. Parkinson, N. M. Larson, Daniel M. Pelt and F. W. Zok, "Insight into 3D micro-CT data: convergence of segmentation algorithms through evaluation metrics", Journal of Synchrotron Radiation, 24(5): 1065-1077, September 2017
BIBTEX DOI
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4) M. Farmand, R. Celestre, P. Denes, A.L.D. Kilcoyne, S. Marchesini, H. Padmore, T. Tyliszczak, T. Warwick, X. Shi, J. Lee, Y.-S. Yu, J. Cabana, J. Joseph, H. Krishnan, T. Perciano, F. Maia, and D. Shapiro. Near-edge X-ray Refraction Fine Structure Microscopy. Applied Physics Letters, 110(6): 063101/1-063101/5, February 2017
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5) B. J. Daurer, H. Krishnan, T. Perciano, F. Maia, D. A. Shapiro, J. Sethian, and S. Marchesini. Nanosurveyor: a framework for real-time data processing. Advanced Structural and Chemical Imaging, 3(1):7, January 2017
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6) T. Perciano, D. Ushizima, H. Krishnan, D. Parkinson, N. M. Larson, and F. W. Zok. Automated Image Segmentation Algorithms for Analysis of 3D Micro-Tomography Data. Submitted to Statistical Analysis and Data Mining, 2016
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7) S. Marchesini, H. Krishnan, D. A. Shapiro, T. Perciano, J. A. Sethian, B. J. Daurer, and F. R. N. C. Maia. SHARP: a distributed, GPU-based ptychographic solver. Journal of Applied Crystallography, 49(4):1245-1252, August 2016
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8) T. Perciano, F. Tupin, R. Hirata Jr., and R. M. Cesar Jr. A Two-level Markov Random Field for Road Network Extraction and its Application with Optical, SAR and Multitemporal Data. International Journal of Remote Sensing, 37(16):3584-3610, 2016
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9) D. Ushizima, H. A. Bale, W. Bethel, P. Ercius, B. Helms, H. Krishnam, L. Grinberg, M. Haranczyk, M. A. A. Macdowell, K. Odziomek, D. Y. Parkinson, T. Perciano, R. Ritchie, and C. Yang. IDEAL: Images Across Domains, Experiments, Algorithms and Learning. Journal of Minerals, Metals and Materials, 68(11):2963-2972, September 2016
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10) S. V Venkatakrishnan, K. Aditya Mohan, Keith Beattie, Joaquin Correa, Eli Dart, Jack R Deslippe, Alexander Hexemer, Harinarayan Krishnan, Alastair A MacDowell, Stefano Marchesini, Simon J Patton, Talita Perciano, James A Sethian, Rune Stromsness, Brian L Tierney, Craig E Tull, Daniela Ushizima, and Dilworth Y Parkinson. Making advanced scientic algorithms and big scientic data management more accessible. Electronic Imaging, 2016(19):1-7, February 2016
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11) Andrew W. Wills, David J. Michalak, Peter Ercius, Ethan R. Rosenberg, Talita Perciano, Daniela Ushizima, Rory Runser, and Brett A. Helms. Block copolymer packing limits and interfacial recongurability in the assembly of periodic mesoporous organosilicas. Advanced Functional Materials, 25(26):4120-4128, 2015
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12) J. Donatelli, M. Haranczyk, A. Hexemer, H. Krishnan, X. Li, L. Lin, F. Maia, S. Marchesini, D. Parkinson, T. Perciano, D. Shapiro, D. Ushizima, C. Yang, and J.A. Sethian. CAMERA: The center for advanced mathematics for energy research applications. Synchrotron Radiation News, 28(2):4-9, 2015
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13) T. Perciano, M. W. Urban, N. D. A. Mascarenhas, M. Fatemi, A. C. Frery, and G. T. Silva. Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function. Ultrasonics, 53(1):36-44, 2013.
Conference Papers
1) B. Lessley, T. Perciano, C. Heinemann, D. Camp, H. Childs, E. W. Bethel. DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. Accepted to the 8th IEEE Symposium on Large Data Analysis and Visualization (LDAV), Aug 2018
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2) C. Heinemann, T. Perciano, D. Ushizima, E. W. Bethel. Distributed Memory Parallel Markov Random Fields using Graph Partitioning. In Big Data (Big Data), 2017 IEEE International Conference on. Dec 2017, Boston, MA, USA.
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3) D. Y. Parkinson, D. M. Pelt, T. Perciano, D. Ushizima, H. Krishnan, H. S. Barnard, A. A. MacDowell, J. Sethian. Machine learning for micro-tomography. Proc. SPIE 10391, Developments in X-Ray Tomography XI, 103910J. Nov 2017, San Diego, CA, USA.
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4) B. Lessley, T. Perciano, M. Mathai, H. Childs, and E. W. Bethel. Maximal Clique Enumeration with Data-Parallel Primitives. In 7th IEEE Symposium on Large Data Analysis and Visualization (LDAV). Oct. 2017, Phoenix, AZ, USA. (to appear)
BIBTEX DOI
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5) T. Perciano, D. Ushizima, E. W. Bethel, Y. D. Mizhahi, and J. A. Sethian. Reduced-complexity Image Segmentation under Parallel Markov Random Field Formulation using Graph Partitioning. 2016 IEEE International Conference on Image Processing, Sep 2016
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6) D. Ushizima, T. Perciano, and D. Parkinson. Fast detection of material deformation through structural dissimilarity. In Big Data (Big Data), 2015 IEEE International Conference on, pages 2775-2781, Oct 2015
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7) D. Ushizima, T. Perciano, H. Krishnan, B. Loring, H. Bale, D. Parkinson, and J. Sethian. Structure recognition from high resolution images of ceramic composites. In Big Data (Big Data), 2014 IEEE International Conference on, pages 683-691, Oct 2014
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8) T. Perciano. Image analysis and statistics: an introduction using R and RIPA. In The International R Users Conference - Contributed Works, pages 65-65, 2014
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9) T. Perciano, R. Hirata Jr., R. M. Cesar Jr. Detection of Thin and Ramified Structures in Images using Markov Random Fields and Perceptual Information. In: XXVI Conference on Graphics, Patterns and Images, 2013, Arequipa. Workshop of Theses and Dissertations (WTD) in SIBGRAPI 2013 (XXVI Conference on Graphics, Patterns and Images). Arequipa, Peru: Alexandre Falcão, Fernando Paulovich, 2013. p. 1-6.
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10) H. Sportouche, F. Tupin, J.-M. Nicolas, T. Perciano, C.-A Deledalle. How to combine TerraSAR-X and Cosmo-SkyMed high-resolution images for a better scene understanding?. In: IGARSS 2012 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012, Munich. 2012 IEEE International Geoscience and Remote Sensing Symposium.
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11) T. Perciano, G. T. Silva. Deconvolution of Vibroacoustic images with a 3D Point-spread Function. In: XXIII Congresso Brasileiro de Engenharia Biomédica, 2012, Porto de Galinhas. Anais do XXIII Congresso Brasileiro de Engenharia Biomédica, 2012.
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12) T. Perciano, F. Tupin, R. Hirata Jr., R. M. Cesar Jr. A hierarchical Markov random field For road network extraction and its application with optical and SAR data. In: IEEE International Geoscience and Remote Sensing Symposium, 2011, Vancouver. IGARSS'11, 2011. p. 1159-1162.
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13) T. Perciano, R. Hirata Jr., L. A. C. Jorge. Parameter Estimation for Ridge Detection in Images with Thin Structures. In: 15th Iberoamerican Congress On Pattern Recognition, 2010, São Paulo. CIARP 2010, Lecture Notes in Computer Science. Heidelberg: Springer, 2010. v. 6419. p. 386-393.
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14) T. Perciano, R. Hirata Jr., L. A. C. Jorge. Ridge Linking Using an Adaptive Oriented Mask Applied to Plant Root Images with Thin Structures. In: 15th Iberoamerican Congress On Pattern Recognition, 2010, São Paulo. CIARP 2010, Lecture Notes in Computer Science. Heidelberg: Springer, 2010. v. 6419. p. 378-385.
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15) T. Perciano, G. T. Silva, M. W. Urban, N. S. A. Mascarenhas, A. C. Frery, M. Fatemi. Axial Plane Restoration in Vibro-Acoustography Imagery. In: XIV Congresso Brasileiro de Física Médica - IV Simpósio de Instrumentação e Imagens Médicas, 2009, São Paulo. Anais do IV Simpósio de Instrumentação e Imagens Médicas, 2009.
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16) T. Perciano, N. D. A. Mascarenhas, A. C. Frery, G. T. Silva. Restoration of vibro-acoustography images. In: XXIII Annual ACM Symposium on Applied Computing, 2008, Fortaleza. Proceedings of the XXIII Annual ACM Symposium on Applied Computing. New York: ACM New York, 2008. v. 3. p. 1762-1763.
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17) T. Perciano, G. T. Silva. Image Simulation for Ultrasound Sum-Frequency Technique. In: XXI Congresso Brasileiro de Engenharia Biomédica, 2008, Salvador. Anais do XXI Congresso Brasileiro de Engenharia Biomédica, 2008. p. 1038-1041.
Books and Book Chapters
1) A. C. Frery, T. Perciano. Introduction to Image Processing Using R: Learning by Examples. 1. ed. Springer, 2013. 87p.
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2) A. C. Frery, T. Perciano. Elementos de Processamento e Análise Estatísticos de Imagens usando R. Fundamentos de Visão Computacional. 1ed.Presidente Prudente: Editora Gráfica Viena, 2011, v. 1, p. 1-52.
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3) A. C. Frery, T. Perciano. Introdução ao Processamento de Imagens usando R. In: Congresso da Sociedade Brasileira de Computação. (Org.). Atualização em Informática 2009. Rio de Janeiro: PUC-Rio, 2009, v. , p. 67-111.