Talita Perciano

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E. Wes BethelSan Francisco State University, Lawrence Berkeley National LaboratoryEmail confirmado em sfsu.edu
Daniela UshizimaLawrence Berkeley National Laboratory, UC Berkeley, UC San FranciscoEmail confirmado em lbl.gov
David A ShapiroLawrence Berkeley National LaboratoryEmail confirmado em lbl.gov
Dilworth (Dula) Y. ParkinsonLawrence Berkeley National LaboratoryEmail confirmado em lbl.gov
Filipe R N C MaiaProfessor of Molecular Biophysics, Uppsala UniversityEmail confirmado em xray.bmc.uu.se
Alejandro C. FreryVictoria University of WellingtonEmail confirmado em vuw.ac.nz
Benedikt J. DaurerDiamond Light SourceEmail confirmado em diamond.ac.uk
Alastair MacDowellLawrence Berkeley National LabEmail confirmado em lbl.gov
Peter DenesLBNLEmail confirmado em lbl.gov
Brent LessleySenior Software Engineer, Moz Inc.Email confirmado em moz.com
Florence TupinTélécom ParisTechEmail confirmado em telecom-paristech.fr
Roberto M Cesar-JrUniversity of São Paulo - USP - BrazilEmail confirmado em ime.usp.br
Brett HelmsLawrence Berkeley National LaboratoryEmail confirmado em lbl.gov
Peter ErciusNational Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National LaboratoryEmail confirmado em lbl.gov
Hank ChildsProfessor of Computer Science, University of OregonEmail confirmado em uoregon.edu
Daniël M. PeltAssistant Professor at Leiden UniversityEmail confirmado em liacs.leidenuniv.nl
Hrishikesh BaleUniversity of California, Berkeley/ Lawrence Berkeley Natl. LabEmail confirmado em lbl.gov
Glauber T. SilvaPhysical Acoustics Group, Universidade Federal de AlagoasEmail confirmado em fis.ufal.br
Nelson D. A. MascarenhasProfessor de Engenharia de Computação, Universidade Federal de São CarlosEmail confirmado em dc.ufscar.br

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Talita Perciano

Research Scientist at Lawrence Berkeley National Laboratory

Email confirmado em lbl.gov - Página inicial

Machine Learning Quantum algorithms Image Processing Probabilistic Graphical Models High Performance Computing


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Three-dimensional localization of nanoscale battery reactions using soft X-ray tomography YS Yu, M Farmand, C Kim, Y Liu, CP Grey, FC Strobridge, T Tyliszczak, ... Nature communications 9 (1), 921, 2018	138	2018
SHARP: a distributed GPU-based ptychographic solver S Marchesini, H Krishnan, BJ Daurer, DA Shapiro, T Perciano, JA Sethian, ... Applied Crystallography 49 (4), 1245-1252, 2016	137	2016
Xi-cam: a versatile interface for data visualization and analysis RJ Pandolfi, DB Allan, E Arenholz, L Barroso-Luque, SI Campbell, ... Synchrotron Radiation 25 (4), 1261-1270, 2018	135	2018
Can machine learning accelerate process understanding and decision‐relevant predictions of river water quality? C Varadharajan, AP Appling, B Arora, DS Christianson, VC Hendrix, ... Hydrological Processes 36 (4), e14565, 2022	50	2022
Maximal clique enumeration with data-parallel primitives B Lessley, T Perciano, M Mathai, H Childs, EW Bethel 2017 IEEE 7th Symposium on Large Data Analysis and Visualization (LDAV), 16-25, 2017	38	2017
Quantum pixel representations and compression for N-dimensional images MG Amankwah, D Camps, EW Bethel, RV Beeumen, T Perciano Scientific Reports 12 (1), 7712, 2022	35	2022
Near-edge X-ray refraction fine structure microscopy M Farmand, R Celestre, P Denes, AL Kilcoyne, S Marchesini, H Padmore, ... Applied Physics Letters 110 (6), 2017	32	2017
IDEAL: Images Across Domains, Experiments, Algorithms and Learning DM Ushizima, HA Bale, EW Bethel, P Ercius, BA Helms, H Krishnan, ... Jom 68, 2963-2972, 2016	32	2016
Camera: The center for advanced mathematics for energy research applications J Donatelli, M Haranczyk, A Hexemer, H Krishnan, X Li, L Lin, F Maia, ... Synchrotron Radiation News 28 (2), 4-9, 2015	31	2015
Insight into 3D micro-CT data: exploring segmentation algorithms through performance metrics T Perciano, D Ushizima, H Krishnan, D Parkinson, N Larson, DM Pelt, ... Synchrotron Radiation 24 (5), 1065-1077, 2017	26	2017
A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data T Perciano, F Tupin, R Hirata Jr, RM Cesar Jr International Journal of Remote Sensing 37 (16), 3584-3610, 2016	26	2016
Machine learning for micro-tomography DY Parkinson, DM Pelt, T Perciano, D Ushizima, H Krishnan, HS Barnard, ... Developments in X-Ray Tomography XI 10391, 85-92, 2017	22	2017
Block copolymer packing limits and interfacial reconfigurability in the assembly of periodic mesoporous organosilicas AW Wills, DJ Michalak, P Ercius, ER Rosenberg, T Perciano, D Ushizima, ... Advanced Functional Materials 25 (26), 4120-4128, 2015	22	2015
Introduction to image processing using R: learning by examples AC Frery, T Perciano Springer Science & Business Media, 2013	19	2013
Reduced-complexity image segmentation under parallel markov random field formulation using graph partitioning T Perciano, DM Ushizima, EW Bethel, YD Mizrahi, D Parkinson, ... 2016 IEEE International Conference on Image Processing (ICIP), 1259-1263, 2016	17	2016
Structure recognition from high resolution images of ceramic composites D Ushizima, T Perciano, H Krishnan, B Loring, H Bale, D Parkinson, ... 2014 IEEE International Conference on Big Data (Big Data), 683-691, 2014	15	2014
A hierarchical Markov random field for road network extraction and its application with optical and SAR data T Perciano, F Tupin, R Hirata, RM Cesar 2011 IEEE International Geoscience and Remote Sensing Symposium, 1159-1162, 2011	15	2011
Real-time data-intensive computing DY Parkinson, K Beattie, X Chen, J Correa, E Dart, BJ Daurer, ... AIP Conference Proceedings 1741 (1), 2016	13	2016
Image data formats and color representation AC Frery, T Perciano, AC Frery, T Perciano Introduction to Image Processing Using R: Learning by Examples, 21-29, 2013	13	2013
Quantum computing and visualization: A disruptive technological change ahead EW Bethel, MG Amankwah, J Balewski, R Van Beeumen, D Camps, ... IEEE Computer Graphics and Applications 43 (6), 101-111, 2023	12	2023

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