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Talita Perciano
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Books and Theses
- 2013
- [b2]Alejandro César Frery, Talita Perciano:
Introduction to Image Processing Using R - Learning by Examples. Springer Briefs in Computer Science, Springer 2013, ISBN 978-1-4471-4949-1, pp. I-XV, 1-87 - 2012
- [b1]Talita Perciano Costa Leite:
Detection of thin and ramified structures in images using Markov random fields and perceptual information (Detecção de estruturas finas e ramificadas em imagens usando campos aleatórios de Markov e informação perceptual). University of São Paulo, Brazil, 2012
Journal Articles
- 2024
- [j4]Zhe Bai, Abdelilah Essiari, Talita Perciano, Kristofer E. Bouchard:
AutoCT: Automated CT registration, segmentation, and quantification. SoftwareX 26: 101673 (2024) - 2023
- [j3]E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano:
Quantum Computing and Visualization: A Disruptive Technological Change Ahead. IEEE Computer Graphics and Applications 43(6): 101-111 (2023) - [j2]Li Zhou, Chao Yang, Weiguo Gao, Talita Perciano, Karen M. Davies, Nicholas K. Sauter:
A machine learning pipeline for membrane segmentation of cryo-electron tomograms. J. Comput. Sci. 66: 101904 (2023) - 2022
- [j1]Matthew Avaylon, Robbie Sadre, Zhe Bai, Talita Perciano:
Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation. Adv. Artif. Intell. Mach. Learn. 2(1): 288-302 (2022)
Conference and Workshop Papers
- 2021
- [c16]E. Wes Bethel, Colleen Heinemann, Talita Perciano:
Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel. EGPGV@EuroVis 2021: 45-49 - [c15]Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day:
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. MLHPC@SC 2021: 81-93 - 2020
- [c14]Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque, Talita Perciano, Dilworth Parkinson:
Sparse Matrix-Based HPC Tomography. ICCS (1) 2020: 248-261 - [c13]Talita Perciano, Colleen Heinemann, David Camp, Brenton Lessley, E. Wes Bethel:
Shared-Memory Parallel Probabilistic Graphical Modeling Optimization: Comparison of Threads, OpenMP, and Data-Parallel Primitives. ISC 2020: 127-145 - 2018
- [c12]Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel:
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. LDAV 2018: 34-44 - 2017
- [c11]Colleen Heinemann, Talita Perciano, Daniela Ushizima, E. Wes Bethel:
Distributed memory parallel Markov random fields using graph partitioning. IEEE BigData 2017: 3332-3341 - [c10]Brenton Lessley, Talita Perciano, Manish Mathai, Hank Childs, E. Wes Bethel:
Maximal clique enumeration with data-parallel primitives. LDAV 2017: 16-25 - 2016
- [c9]S. V. Venkatakrishnan, K. Aditya Mohan, Keith Beattie, Joaquin Correa, Eli Dart, Jack 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, Dilworth Y. Parkinson:
Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. Computational Imaging 2016: 1-7 - [c8]Talita Perciano, Daniela Mayumi Ushizima, E. Wes Bethel, Yariv Dror Mizrahi, Dilworth Parkinson, James A. Sethian:
Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning. ICIP 2016: 1259-1263 - 2015
- [c7]Daniela Ushizima, Talita Perciano, Dilworth Parkinson:
Fast detection of material deformation through structural dissimilarity. IEEE BigData 2015: 2775-2781 - 2014
- [c6]Daniela Ushizima, Talita Perciano, Harinarayan Krishnan, Burlen Loring, Hrishikesh Bale, Dilworth Parkinson, James A. Sethian:
Structure recognition from high resolution images of ceramic composites. IEEE BigData 2014: 683-691 - 2012
- [c5]Hélène Sportouche, Florence Tupin, Jean-Marie Nicolas, Talita Perciano, Charles-Alban Deledalle:
How to combine TerraSAR-X and Cosmo-SkyMed high-resolution images for a better scene understanding? IGARSS 2012: 178-181 - 2011
- [c4]Talita Perciano, Florence Tupin, Roberto Hirata Jr., Roberto M. Cesar:
A hierarchical Markov random field for road network extraction and its application with optical and SAR data. IGARSS 2011: 1159-1162 - 2010
- [c3]Talita Perciano, Roberto Hirata Jr., Lúcio André de Castro Jorge:
Ridge Linking Using an Adaptive Oriented Mask Applied to Plant Root Images with Thin Structures. CIARP 2010: 378-385 - [c2]Talita Perciano, Roberto Hirata Jr., Lúcio André de Castro Jorge:
Parameter Estimation for Ridge Detection in Images with Thin Structures. CIARP 2010: 386-393 - 2008
- [c1]Talita Perciano, Nelson D. A. Mascarenhas, Alejandro César Frery, Glauber T. Silva:
Restoration of vibro-acoustography images. SAC 2008: 1762-1763
Informal and Other Publications
- 2024
- [i11]E. Wes Bethel, Vianna Cramer, Alexander del Rio, Lothar Narins, Chris Pestano, Satvik Verma, Erick Arias, Nicola Bertelli, Talita Perciano, Syun'ichi Shiraiwa, Álvaro Sánchez Villar, Greg Wallace, John C. Wright:
Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science. CoRR abs/2409.06122 (2024) - 2023
- [i10]E. Wes Bethel, Mercy G. Amankwah, Jan Balewski, Roel Van Beeumen, Daan Camps, Daniel Huang, Talita Perciano:
Quantum Computing and Visualization: A Disruptive Technological Change Ahead. CoRR abs/2310.04937 (2023) - [i9]Zhe Bai, Abdelilah Essiari, Talita Perciano, Kristofer E. Bouchard:
AutoCT: Automated CT registration, segmentation, and quantification. CoRR abs/2310.17780 (2023) - 2022
- [i8]Rey Mendoza, Minh Nguyen, Judith Weng Zhu, Vincent Dumont, Talita Perciano, Juliane Mueller, Vidya Ganapati:
A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography. CoRR abs/2211.00002 (2022) - 2021
- [i7]Vincent Dumont, Casey Garner, Anuradha Trivedi, Chelsea Jones, Vidya Ganapati, Juliane Mueller, Talita Perciano, Mariam Kiran, Marc Day:
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. CoRR abs/2110.01698 (2021) - [i6]Mercy G. Amankwah, Daan Camps, E. Wes Bethel, Roel Van Beeumen, Talita Perciano:
Quantum pixel representations and compression for N-dimensional images. CoRR abs/2110.04405 (2021) - 2020
- [i5]Stefano Marchesini, Anuradha Trivedi, Pablo Enfedaque, Talita Perciano, Dilworth Parkinson:
Sparse Matrix-Based HPC Tomography. CoRR abs/2003.12677 (2020) - [i4]E. Wes Bethel, David Camp, Talita Perciano, Colleen Heinemann:
Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels. CoRR abs/2010.02361 (2020) - 2018
- [i3]Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel:
DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. CoRR abs/1809.05018 (2018) - 2016
- [i2]Benedikt J. Daurer, Harinarayan Krishnan, Talita Perciano, Filipe R. N. C. Maia, David A. Shapiro, James A. Sethian, Stefano Marchesini:
Nanosurveyor: a framework for real-time data processing. CoRR abs/1609.02831 (2016) - 2012
- [i1]Talita Perciano, Matthew W. Urban, Nelson D. A. Mascarenhas, Mostafa Fatemi, Alejandro César Frery, Glauber T. Silva:
Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function. CoRR abs/1207.3370 (2012)
Coauthor Index
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