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Daniela Ushizima
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2020 – today
- 2024
- [j18]Eric Chagnon, Ronald Pandolfi, Jeffrey Donatelli, Daniela Ushizima:
Benchmarking topic models on scientific articles using BERTeley. Nat. Lang. Process. J. 6: 100044 (2024) - 2023
- [j17]Júlia Beatriz A. Teixeira, Mariana T. Rezende, Débora Nasser Diniz, Cláudia M. Carneiro, Eduardo José da Silva Luz, Marcone J. F. Souza, Daniela M. Ushizima, Fátima N. S. de Medeiros, Andrea Gomes Campos Bianchi:
Segmentation of cervical nuclei using convolutional neural network for conventional cytology. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(5): 1876-1888 (2023) - [j16]Jerome Quenum, Iryna Zenyuk, Daniela Ushizima:
Lithium Metal Battery Quality Control via Transformer-CNN Segmentation. J. Imaging 9(6): 111 (2023) - [c33]Guanhua Hao, Eric J. Roberts, Tanny Chavez, Zhuowen Zhao, Elizabeth Holman, Howard Yanxon, Adam Green, Harinarayan Krishnan, Daniela Ushizima, Dylan McReynolds, Nicholas Schwarz, Petrus H. Zwart, Alexander Hexemer, Dilworth Parkinson:
Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. Image Processing: Algorithms and Systems 2023: 1-5 - [i5]Jerome Quenum, David Perlmutter, Ying Huang, Iryna Zenyuk, Daniela Ushizima:
Lithium Metal Battery Quality Control via Transformer-CNN Segmentation. CoRR abs/2302.04824 (2023) - 2022
- [j15]Daniela Ushizima, Yuheng Chen, Maryana Alegro, Dulce Ovando, Rana Eser, WingHung Lee, Kinson Poon, Anubhav Shankar, Namrata Kantamneni, Shruti Satrawada, Edson Amaro Júnior, Helmut Heinsen, Duygu Tosun, Lea T. Grinberg:
Deep learning for Alzheimer's disease: Mapping large-scale histological tau protein for neuroimaging biomarker validation. NeuroImage 248: 118790 (2022) - 2021
- [j14]Débora Nasser Diniz, Rafael Ferreira Vitor, Andrea Gomes Campos Bianchi, Saul E. Delabrida, Cláudia M. Carneiro, Daniela Mayumi Ushizima, Fátima Nelsizeuma Sombra de Medeiros, Marcone Jamilson Freitas Souza:
An ensemble method for nuclei detection of overlapping cervical cells. Expert Syst. Appl. 185: 115642 (2021) - [j13]Débora Nasser Diniz, Mariana T. Rezende, Andrea G. C. Bianchi, Cláudia M. Carneiro, Eduardo José da Silva Luz, Gladston J. P. Moreira, Daniela M. Ushizima, Fátima N. S. de Medeiros, Marcone J. F. Souza:
A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification. J. Imaging 7(7): 111 (2021) - [i4]Alexandre Fioravante de Siqueira, Daniela Mayumi Ushizima, Stéfan van der Walt:
A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks. CoRR abs/2101.04823 (2021) - 2020
- [c32]Rafael L. Araújo, Daniela M. Ushizima, Romuere R. V. Silva:
Fusion of Color Bands Using Genetic Algorithm to Segment Melanoma. ISBI Workshops 2020: 1-4 - [c31]Thiago José Barbosa Lima, Daniela Ushizima, Antonio Oseas de Carvalho Filho, Flávio Henrique Duarte de Araújo:
Lung CT Screening With 3D Convolutional Neural Network Architectures. ISBI Workshops 2020: 1-4 - [c30]Daniela Ushizima, Matthew McCormick, Dilworth Parkinson:
Accelerating Microstructural Analytics with Dask for Volumetric X-ray Images. PyHPC@SC 2020: 41-48 - [c29]Dilworth Y. Parkinson, Harinarayan Krishnan, Daniela Ushizima, Matthew L. Henderson, Shreyas Cholia:
Interactive Parallel Workflows for Synchrotron Tomography. XLOOP@SC 2020: 29-34 - [c28]Douglas Wender A. Isidoro, Cláudia M. Carneiro, Mariana T. Resende, Fátima N. S. de Medeiros, Daniela M. Ushizima, Andrea Gomes Campos Bianchi:
Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics. VISIGRAPP (5: VISAPP) 2020: 845-852 - [i3]Ke Xu, Anton S. Tremsin, Jiaqi Li, Daniela M. Ushizima, Catherine A. Davy, Amine Bouterf, Ying Tsun Su, Milena Marroccoli, Anna Maria Mauro, Massimo Osanna, Antonio Telesca, Paulo J. M. Monteiro:
Microstructure and Water Absorption of Ancient Concrete from Pompeii: An Integrated Synchrotron Microtomography and Neutron Radiography Characterization. CoRR abs/2005.13114 (2020)
2010 – 2019
- 2019
- [j12]Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Daniela Mayumi Ushizima, Mariana T. Rezende, Cláudia M. Carneiro, Andrea Gomes Campos Bianchi, Fátima N. S. de Medeiros:
Deep learning for cell image segmentation and ranking. Comput. Medical Imaging Graph. 72: 13-21 (2019) - [j11]Daniel S. Ferreira, Geraldo L. B. Ramalho, Débora Torres, Alessandra H. G. Tobias, Mariana T. Rezende, Fátima N. S. de Medeiros, Andrea G. C. Bianchi, Cláudia M. Carneiro, Daniela M. Ushizima:
Saliency-driven system models for cell analysis with deep learning. Comput. Methods Programs Biomed. 182 (2019) - [j10]Romuere R. V. e Silva, Flávio H. D. Araújo, Daniela Mayumi Ushizima, Andrea G. C. Bianchi, Cláudia M. Carneiro, Fátima N. S. de Medeiros:
Radial feature descriptors for cell classification and recommendation. J. Vis. Commun. Image Represent. 62: 105-116 (2019) - [j9]J. Michael L. MacNeil, Daniela M. Ushizima, Francesco Panerai, Nagi N. Mansour, Harold S. Barnard, Dilworth Y. Parkinson:
Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means. Stat. Anal. Data Min. 12(4): 338-353 (2019) - [c27]Débora Nasser Diniz, Marcone J. F. Souza, Cláudia M. Carneiro, Daniela M. Ushizima, Fátima N. S. de Medeiros, Paulo H. C. Oliveira, Andrea G. C. Bianchi:
An Iterated Local Search-Based Algorithm to Support Cell Nuclei Detection in Pap Smears Test. ICEIS (Revised Selected Papers) 2019: 78-96 - [c26]Débora Nasser Diniz, Marcone J. F. Souza, Cláudia M. Carneiro, Daniela Mayumi Ushizima, Fátima Nelsizeuma Sombra de Medeiros, Paulo H. C. Oliveira, Andrea G. C. Bianchi:
An Iterated Local Search Algorithm for Cell Nuclei Detection from Pap Smear Images. ICEIS (1) 2019: 319-327 - [c25]Daniel S. Ferreira, Geraldo Luis Bezerra Ramalho, Fátima N. S. de Medeiros, Andrea G. C. Bianchi, Cláudia M. Carneiro, Daniela Mayumi Ushizima:
Saliency-Driven System With Deep Learning for Cell Image Classification. ISBI 2019: 1284-1287 - [c24]Eucassio G. Lima Junior, Luis H. S. Vogado, Ricardo de A. L. Rabelo, Cornélia J. P. Passarinho, Daniela M. Ushizima:
Entropy Projection Curved Gabor with Random Forest and SVM for Face Recognition. ISVC (2) 2019: 235-246 - [c23]Silvia Miramontes, Daniela M. Ushizima, Dilworth Y. Parkinson:
Evaluating Fiber Detection Models Using Neural Networks. ISVC (2) 2019: 541-552 - [c22]John Michael L. MacNeil, Dmitriy Morozov, Francesco Panerai, Dilworth Parkinson, Harold S. Barnard, Daniela Ushizima:
Distributed Global Digital Volume Correlation by Optimal Transport. XLOOP@SC 2019: 14-19 - [e2]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu:
Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11844, Springer 2019, ISBN 978-3-030-33719-3 [contents] - [e1]George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu:
Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11845, Springer 2019, ISBN 978-3-030-33722-3 [contents] - [i2]Cristina White, Daniela Ushizima, Charbel Farhat:
Neural Networks Predict Fluid Dynamics Solutions from Tiny Datasets. CoRR abs/1902.00091 (2019) - 2018
- [j8]Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Fátima N. S. de Medeiros, Dilworth Parkinson, Alexander Hexemer, Cláudia M. Carneiro, Daniela Mayumi Ushizima Sabino:
Reverse image search for scientific data within and beyond the visible spectrum. Expert Syst. Appl. 109: 35-48 (2018) - [c21]Vinícius Veloso de Melo, Daniela Mayumi Ushizima, Salety Ferreira Baracho, Regina Célia Coelho:
Gradient Boosting Decision Trees for Echocardiogram Images. IJCNN 2018: 1-8 - 2017
- [j7]Zhi Lu, Gustavo Carneiro, Andrew P. Bradley, Daniela Ushizima, Masoud S. Nosrati, Andrea G. C. Bianchi, Cláudia M. Carneiro, Ghassan Hamarneh:
Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells. IEEE J. Biomed. Health Informatics 21(2): 441-450 (2017) - [c20]Colleen Heinemann, Talita Perciano, Daniela Ushizima, E. Wes Bethel:
Distributed memory parallel Markov random fields using graph partitioning. IEEE BigData 2017: 3332-3341 - [c19]Paulo H. C. Oliveira, Gladston Moreira, Daniela Mayumi Ushizima, Cláudia M. Carneiro, Fátima N. S. de Medeiros, Flávio Henrique Duarte de Araújo, Romuere R. V. e Silva, Andrea G. C. Bianchi:
A multi-objective approach for calibration and detection of cervical cells nuclei. CEC 2017: 2321-2327 - [c18]Chris Holdgraf, Aaron Culich, Ariel Rokem, Fatma Deniz, Maryana Alegro, Daniela Ushizima:
Portable Learning Environments for Hands-On Computational Instruction: Using Container- and Cloud-Based Technology to Teach Data Science. PEARC 2017: 32:1-32:9 - [i1]Chris Holdgraf, Aaron Culich, Ariel Rokem, Fatma Deniz, Maryana Alegro, Daniela Ushizima:
Portable learning environments for hands-on computational instruction: Using container- and cloud-based technology to teach data science. CoRR abs/1703.04900 (2017) - 2016
- [c17]Daniela Ushizima, Chao Yang, Singanallur V. Venkatakrishnan, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Haoran Tang, Joao Vitor Mascarenhas, Alexander Hexemer, Dilworth Parkinson, James A. Sethian:
Convolutional neural networks at the interface of physical and digital data. AIPR 2016: 1-12 - [c16]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 - [c15]Maryana Alegro, Edson Amaro Júnior, Burlen Loring, Helmut Heinsen, Eduardo Alho, Lilla Zöllei, Daniela Ushizima, Lea T. Grinberg:
Multimodal Whole Brain Registration: MRI and High Resolution Histology. CVPR Workshops 2016: 634-642 - [c14]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
- [c13]Daniela Ushizima, Talita Perciano, Dilworth Parkinson:
Fast detection of material deformation through structural dissimilarity. IEEE BigData 2015: 2775-2781 - [c12]Daniela Ushizima, Allan Carneiro, Marcelo Souza, Fátima N. S. de Medeiros:
Investigating Pill Recognition Methods for a New National Library of Medicine Image Dataset. ISVC (2) 2015: 410-419 - 2014
- [c11]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 - 2013
- [j6]Ialis C. Paula Jr., Fátima Nelsizeuma Sombra de Medeiros, Francisco Nivando Bezerra, Daniela Mayumi Ushizima:
Multiscale Corner Detection in Planar Shapes. J. Math. Imaging Vis. 45(3): 251-263 (2013) - [c10]Rodrigo M. S. Veras, Fátima N. S. de Medeiros, Romuere R. V. e Silva, Daniela Ushizima:
Assessing the accuracy of macula detection methods in retinal images. DSP 2013: 1-6 - [c9]Daniela Mayumi Ushizima, Alessandra H. Gomes, Cláudia M. Carneiro, Andrea Gomes Campos Bianchi:
Automated Pap Smear Cell Analysis: Optimizing the Cervix Cytological Examination. ICMLA (2) 2013: 441-444 - 2012
- [j5]Daniela Mayumi Ushizima, Dmitriy Morozov, Gunther H. Weber, Andrea Gomes Campos Bianchi, James A. Sethian, E. Wes Bethel:
Augmented Topological Descriptors of Pore Networks for Material Science. IEEE Trans. Vis. Comput. Graph. 18(12): 2041-2050 (2012) - 2011
- [c8]Andrew Uselton, Daniela Mayumi Ushizima:
Poster: I/O workload analysis with server-side data collection. SC Companion 2011: 33-34 - [c7]Ialis C. Paula Jr., Fátima N. S. de Medeiros, Francisco Nivando Bezerra, Daniela Mayumi Ushizima:
Corner Detection within a Multiscale Framework. SIBGRAPI 2011: 141-148 - 2010
- [j4]E. A. Carvalho, Daniela Mayumi Ushizima Sabino, Fátima Nelsizeuma Sombra de Medeiros, Charles Iury Oliveira Martins, Régis C. P. Marques, Isaura N. S. Oliveira:
SAR imagery segmentation by statistical region growing and hierarchical merging. Digit. Signal Process. 20(5): 1365-1378 (2010) - [j3]Gladeston C. Leite, Daniela Mayumi Ushizima, Fátima N. S. de Medeiros, Gilson G. De Lima:
Wavelet Analysis for Wind Fields Estimation. Sensors 10(6): 5994-6016 (2010)
2000 – 2009
- 2009
- [j2]Régis C. P. Marques, Fátima Nelsizeuma Sombra de Medeiros, Daniela Mayumi Ushizima:
Target Detection in SAR Images Based on a Level Set Approach. IEEE Trans. Syst. Man Cybern. Part C 39(2): 214-222 (2009) - [c6]Charles Iury Oliveira Martins, Daniela Mayumi Ushizima, Fátima N. S. de Medeiros, Francisco Nivando Bezerra, Régis C. P. Marques, Nelson D. A. Mascarenhas:
Iterative self-dual reconstruction on radar image recovery. WACV 2009: 1-6 - 2008
- [c5]Daniela Mayumi Ushizima, Oliver Rübel, Prabhat, Gunther H. Weber, E. Wes Bethel, Cecilia R. Aragon, Cameron G. R. Geddes, Estelle Cormier-Michel, Bernd Hamann, Peter Messmer, Hans Hagen:
Automated Analysis for Detecting Beams in Laser Wakefield Simulations. ICMLA 2008: 382-387 - 2006
- [c4]Daniela Mayumi Ushizima Sabino, Rodrigo T. Calado, Edgar Gil Rizzatti:
Leukocyte Detection Using Nucleus Contour Propagation. MIAR 2006: 389-396 - 2005
- [c3]Daniela Mayumi Ushizima, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho:
Support Vector Machines Applied to White Blood Cell Recognition. HIS 2005: 379-384 - 2004
- [b1]Daniela Mayumi Ushizima:
Diagnóstico de leucemia linfóide auxiliado por computador. University of São Paulo, Brazil, 2004 - [j1]Daniela Mayumi Ushizima Sabino, Luciano da Fontoura Costa, Edgar Gil Rizzatti, Marco Antonio Zago:
A texture approach to leukocyte recognition. Real Time Imaging 10(4): 205-216 (2004) - [c2]Daniela Mayumi Ushizima Sabino, Luciano da Fontoura Costa, Marco Antonio Zago, Edgar Gil Rizzatti:
Toward Leukocyte Recognition Using Morphometry, Texture And Color. ISBI 2004: 121-124 - 2002
- [c1]Daniela Mayumi Ushizima Sabino, Edson Koiti Nakamura, Luciano da F. Costa, Rodrigo T. Calado, Marco Antonio Zago:
Chromatin texture characterization using multiscale fractal dimension. DSP 2002: 529-533
Coauthor Index
aka: Andrea Gomes Campos Bianchi
aka: Fátima Nelsizeuma Sombra de Medeiros
aka: Dilworth Y. Parkinson
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last updated on 2024-10-07 21:14 CEST by the dblp team
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