Restoration of vibro-acoustography images. - Talita Perciano; Nelson D. A. Mascarenhas; Alejandro César Frery; Glauber T. Silva (SAC, 2008)

Ridge Linking Using an Adaptive Oriented Mask Applied to Plant Root Images with Thin Structures. - Talita Perciano; Roberto Hirata Jr.; Lúcio André de Castro Jorge (CIARP, 2010)

Parameter Estimation for Ridge Detection in Images with Thin Structures. - Talita Perciano; Roberto Hirata Jr.; Lúcio André de Castro Jorge (CIARP, 2010)

A hierarchical Markov random field for road network extraction and its application with optical and SAR data. - Talita Perciano; Florence Tupin; Roberto Hirata Jr.; Roberto M. Cesar (IGARSS, 2011)

How to combine TerraSAR-X and Cosmo-SkyMed high-resolution images for a better scene understanding? - Hélène Sportouche; Florence Tupin; Jean-Marie Nicolas 002; Talita Perciano; Charles-Alban Deledalle (IGARSS, 2012)

Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function - Talita Perciano; Matthew W. Urban; Nelson D. A. Mascarenhas; Mostafa Fatemi; Alejandro César Frery; Glauber T. Silva (CoRR, 2012)

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). - Talita Perciano Costa Leite (2012)

Introduction to Image Processing Using R - Learning by Examples. - Alejandro César Frery; Talita Perciano (Springer, 2013)

Structure recognition from high resolution images of ceramic composites. - Daniela Ushizima; Talita Perciano; Harinarayan Krishnan; Burlen Loring; Hrishikesh Bale; Dilworth Parkinson; James A. Sethian (IEEE BigData, 2014)

Fast detection of material deformation through structural dissimilarity. - Daniela Ushizima; Talita Perciano; Dilworth Parkinson (IEEE BigData, 2015)

Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. - S. V. Venkatakrishnan 001; 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; et al. (Computational Imaging, 2016)

Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning. - Talita Perciano; Daniela Mayumi Ushizima; E. Wes Bethel; Yariv Dror Mizrahi; Dilworth Parkinson; James A. Sethian (ICIP, 2016)

Nanosurveyor: a framework for real-time data processing. - Benedikt J. Daurer; Harinarayan Krishnan; Talita Perciano; Filipe R. N. C. Maia; David A. Shapiro; James A. Sethian; Stefano Marchesini (CoRR, 2016)

Distributed memory parallel Markov random fields using graph partitioning. - Colleen Heinemann; Talita Perciano; Daniela Ushizima; E. Wes Bethel (IEEE BigData, 2017)

Maximal clique enumeration with data-parallel primitives. - Brenton Lessley; Talita Perciano; Manish Mathai; Hank Childs; E. Wes Bethel (LDAV, 2017)

DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives. - Brenton Lessley; Talita Perciano; Colleen Heinemann; David Camp; Hank Childs; E. Wes Bethel (LDAV, 2018)

Sparse Matrix-Based HPC Tomography. - Stefano Marchesini; Anuradha Trivedi; Pablo Enfedaque; Talita Perciano; Dilworth Parkinson (ICCS (1), 2020)

Shared-Memory Parallel Probabilistic Graphical Modeling Optimization: Comparison of Threads, OpenMP, and Data-Parallel Primitives. - Talita Perciano; Colleen Heinemann; David Camp; Brenton Lessley; E. Wes Bethel (ISC, 2020)

Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels. - E. Wes Bethel; David Camp; Talita Perciano; Colleen Heinemann (CoRR, 2020)

Performance Tradeoffs in Shared-memory Platform Portable Implementations of a Stencil Kernel. - E. Wes Bethel; Colleen Heinemann; Talita Perciano (EGPGV@EuroVis, 2021)

HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization. - Vincent Dumont; Casey Garner; Anuradha Trivedi; Chelsea Jones; Vidya Ganapati; Juliane Mueller 002; Talita Perciano; Mariam Kiran; Marc Day (MLHPC@SC, 2021)

Quantum pixel representations and compression for N-dimensional images. - Mercy G. Amankwah; Daan Camps; E. Wes Bethel; Roel Van Beeumen; Talita Perciano (CoRR, 2021)

Adaptable Deep Learning and Probabilistic Graphical Model System for Semantic Segmentation. - Matthew Avaylon; Robbie Sadre; Zhe Bai; Talita Perciano (Adv. Artif. Intell. Mach. Learn., 2022)

A Self-Supervised Approach to Reconstruction in Sparse X-Ray Computed Tomography. - Rey Mendoza; Minh Nguyen; Judith Weng Zhu; Vincent Dumont; Talita Perciano; Juliane Mueller 002; Vidya Ganapati (CoRR, 2022)

Quantum Computing and Visualization: A Disruptive Technological Change Ahead. - E. Wes Bethel; Mercy G. Amankwah; Jan Balewski; Roel Van Beeumen; Daan Camps; Daniel Huang 001; Talita Perciano (IEEE Computer Graphics and Applications, 2023)

A machine learning pipeline for membrane segmentation of cryo-electron tomograms. - Li Zhou; Chao Yang 001; Weiguo Gao; Talita Perciano; Karen M. Davies; Nicholas K. Sauter (J. Comput. Sci., 2023)

Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science. - 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; et al. (CoRR, 2024)

Visualizing Loss Functions as Topological Landscape Profiles. - Caleb Geniesse; Jiaqing Chen; Tiankai Xie; Ge Shi 007; Yaoqing Yang; Dmitriy Morozov; Talita Perciano; Michael W. Mahoney; Ross Maciejewski; Gunther H. Weber (CoRR, 2024)

AutoCT: Automated CT registration, segmentation, and quantification. - Zhe Bai; Abdelilah Essiari; Talita Perciano; Kristofer E. Bouchard (SoftwareX, 2024)

Quantum Transfer Learning to Boost Dementia Detection. - Sounak Bhowmik; Talita Perciano; Himanshu Thapliyal (ACM Great Lakes Symposium on VLSI, 2025)

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics. - Tiankai Xie; Jiaqing Chen; Yaoqing Yang; Caleb Geniesse; Ge Shi 007; Ajinkya Chaudhari; John Kevin Cava; Michael W. Mahoney; Talita Perciano; Gunther H. Weber; Ross Maciejewski (IEEE Computer Graphics and Applications, 2025)