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Talita Perciano

Talita Perciano
Research Scientist
Computational Research Division
Phone: +1 510 486 5060
1 Cyclotron
Mail Stop 59R3103 - 059-3034B
Berkeley, California 94720 US

Talita Perciano is a Research Scientist at Lawrence Berkeley National Laboratory she is also part of the Image Analysis team of the Center of Applied Mathematics for Energy Related Applications (CAMERA). Her current knowledge is image processing and pattern recognition applied to different image data, allied to HPC. Relevant research includes machine learning and probabilistic graphical models (PGM) for image analysis problems, high performance computing, image processing for biosciences, brain imaging (CT, MRI), among others. She has been working on computer vision algorithms and statistical computing the past 15 years, and she is a developer of R packages, a software environment for statistical computing and graphics, for image processing and analysis. She earned her doctorate in Computer Science from the University of São Paulo in 2012.


More info about research projects

Journal Articles

Li Zhou, Chao Yang, Weiguo Gao, Talita Perciano, Karen M. Davies, Nicholas K. Sauter, "Subcellular structure segmentation from cryo-electron tomograms via machine learning", PLOS Journal of Computational Biology, April 2, 2020, submitte, doi: doi:

RJ Pandolfi, DB Allan, E Arenholz, L Barroso-Luque, SI Campbell, TA Caswell, A Blair, F De Carlo, S Fackler, AP Fournier, G Freychet, M Fukuto, D Gürsoy, Z Jiang, H Krishnan, D Kumar, RJ Kline, R Li, C Liman, S Marchesini, A Mehta, AT N Diaye, DY Parkinson, H Parks, LA Pellouchoud, T Perciano, F Ren, S Sahoo, J Strzalka, D Sunday, CJ Tassone, D Ushizima, S Venkatakrishnan, KG Yager, P Zwart, JA Sethian, A Hexemer, "Xi-cam: a versatile interface for data visualization and analysis", Journal of Synchrotron Radiation, 2018, 25:1261--1270, doi: 10.1107/S1600577518005787

Benedikt J Daurer, Hari Krishnan, Talita Perciano, Filipe RNC Maia, David A Shapiro, James A Sethian, Stefano Marchesini, "Nanosurveyor: a framework for real-time data processing", Advanced structural and chemical imaging, 2017, 3:7,

T Perciano, D Ushizima, H Krishnan, D Parkinson, N Larson, DM Pelt, W Bethel, F Zok, J Sethian, "Insight into 3D micro-CT data: Exploring segmentation algorithms through performance metrics", Journal of Synchrotron Radiation, 2017, 24:1065--1077, doi: 10.1107/S1600577517010955

M Farmand, R Celestre, P Denes, ALD Kilcoyne, S Marchesini, H Padmore, T Tyliszczak, T Warwick, X Shi, J Lee, YS Yu, J Cabana, J Joseph, H Krishnan, T Perciano, FRNC Maia, DA Shapiro, "Near-edge X-ray refraction fine structure microscopy", Applied Physics Letters, 2017, 110, doi: 10.1063/1.4975377

T Perciano, F Tupin, R Hirata, RM Cesar, "A two-level Markov random field for road network extraction and its application with optical, SAR, and multitemporal data", International Journal of Remote Sensing, 2016, 37:3584--3610, doi: 10.1080/01431161.2016.1201227

S Marchesini, H Krishnan, BJ Daurer, DA Shapiro, T Perciano, JA Sethian, FRNC Maia, "SHARP: A distributed GPU-based ptychographic solver", Journal of Applied Crystallography, 2016, 49:1245--1252, doi: 10.1107/S1600576716008074

DM Ushizima, HA Bale, EW Bethel, P Ercius, BA Helms, H Krishnan, LT Grinberg, M Haranczyk, AA Macdowell, K Odziomek, DY Parkinson, T Perciano, RO Ritchie, C Yang, "IDEAL: Images Across Domains, Experiments, Algorithms and Learning", JOM, 2016, 68:2963--2972, doi: 10.1007/s11837-016-2098-4

AW Wills, DJ Michalak, P Ercius, ER Rosenberg, T Perciano, D Ushizima, R Runser, BA Helms, "Block Copolymer Packing Limits and Interfacial Reconfigurability in the Assembly of Periodic Mesoporous Organosilicas", Advanced Functional Materials, 2015, 25:4120--4128, doi: 10.1002/adfm.201501059

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, JA Sethian, "CAMERA: The Center for Advanced Mathematics for Energy Research Applications", Synchrotron Radiation News, 2015, 28:4--9, doi: 10.1080/08940886.2015.1013413

T Perciano, MW Urban, NDA Mascarenhas, M Fatemi, AC Frery, GT Silva, "Deconvolution of vibroacoustic images using a simulation model based on a three dimensional point spread function", Ultrasonics, 2013, 53:36--44, doi: 10.1016/j.ultras.2012.03.011

Conference Papers

C Heinemann, T Perciano, D Ushizima, EW Bethel, "Distributed memory parallel Markov random fields using graph partitioning", Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017, 2018, 2018-Jan:3332--3341, doi: 10.1109/BigData.2017.8258318

B Lessley, T Perciano, C Heinemann, D Camp, H Childs, EW Bethel, "DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives", The 8th IEEE Symposium on Large Data Analysis and Visualization - LDAV 2018, 2018,

B Lessley, T Perciano, M Mathai, H Childs, EW Bethel, "Maximal clique enumeration with data-parallel primitives", 2017 IEEE 7th Symposium on Large Data Analysis and Visualization, LDAV 2017, 2017, 2017-Dec:16--25, doi: 10.1109/LDAV.2017.8231847

T Perciano, D Ushizima, H Krishnan, D Parkinson, J Sethian, "FibriPy: A software environment for fiber analysis from 3D micro-computed tomography data", Advanced Materials - TechConnect Briefs 2017, 2017, 1:25--28,

DY Parkinson, DM Pelt, T Perciano, D Ushizima, H Krishnan, HS Barnard, AA MacDowell, J Sethian, "Machine learning for micro-tomography", Proceedings of SPIE - The International Society for Optical Engineering, 2017, 10391, doi: 10.1117/12.2274731

SV Venkatakrishnan, KA Mohan, K Beattie, J Correa, E Dart, JR Deslippe, A Hexemer, H Krishnan, AA MacDowell, S Marchesini, SJ Patton, T Perciano, JA Sethian, R Stromsness, BL Tierney, CE Tull, D Ushizima, DY Parkinson, "Making advanced scientific algorithms and big scientific data management more accessible", IS and T International Symposium on Electronic Imaging Science and Technology, 2016, doi: 10.2352/ISSN.2470-1173.2016.19.COIMG-155

DY Parkinson, K Beattie, X Chen, J Correa, E Dart, BJ Daurer, JR Deslippe, A Hexemer, H Krishnan, AA Macdowell, FRNC Maia, S Marchesini, HA Padmore, SJ Patton, T Perciano, JA Sethian, D Shapiro, R Stromsness, N Tamura, BL Tierney, CE Tull, D Ushizima, "Real-time data-intensive computing", AIP Conference Proceedings, 2016, 1741, doi: 10.1063/1.4952921

T Perciano, DM Ushizima, EW Bethel, YD Mizrahi, D Parkinson, JA Sethian, "Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning", Proceedings - International Conference on Image Processing, ICIP, 2016, 2016-Aug:1259--1263, doi: 10.1109/ICIP.2016.7532560

D Ushizima, T Perciano, D Parkinson, "Fast detection of material deformation through structural dissimilarity", Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015, 2015, 2775--2781, doi: 10.1109/BigData.2015.7364080

D Ushizima, T Perciano, H Krishnan, B Loring, H Bale, D Parkinson, J Sethian, "Structure recognition from high resolution images of ceramic composites", Proceedings - 2014 IEEE International Conference on Big Data, IEEE Big Data 2014, 2014, 683--691, doi: 10.1109/BigData.2014.7004292