Daniela Ushizima

Orcid: 0000-0002-7363-9468

According to our database1, Daniela Ushizima authored at least 55 papers between 2002 and 2023.

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Bibliography

2023
Segmentation of cervical nuclei using convolutional neural network for conventional cytology.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023

Lithium Metal Battery Quality Control via Transformer-CNN Segmentation.
J. Imaging, 2023

Lithium Metal Battery Quality Control via Transformer-CNN Segmentation.
CoRR, 2023

Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities.
Proceedings of the Image Processing: Algorithms and Systems XXI, 2023

2022
Deep learning for Alzheimer's disease: Mapping large-scale histological tau protein for neuroimaging biomarker validation.
NeuroImage, 2022

2021
A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification.
J. Imaging, 2021

An ensemble method for nuclei detection of overlapping cervical cells.
Expert Syst. Appl., 2021

A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks.
CoRR, 2021

2020
Microstructure and Water Absorption of Ancient Concrete from Pompeii: An Integrated Synchrotron Microtomography and Neutron Radiography Characterization.
CoRR, 2020

Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Interactive Parallel Workflows for Synchrotron Tomography.
Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

Accelerating Microstructural Analytics with Dask for Volumetric X-ray Images.
Proceedings of the 9th IEEE/ACM Workshop on Python for High-Performance and Scientific Computing, 2020

Lung CT Screening With 3D Convolutional Neural Network Architectures.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

Fusion of Color Bands Using Genetic Algorithm to Segment Melanoma.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019
Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means.
Stat. Anal. Data Min., 2019

Radial feature descriptors for cell classification and recommendation.
J. Vis. Commun. Image Represent., 2019

Neural Networks Predict Fluid Dynamics Solutions from Tiny Datasets.
CoRR, 2019

Saliency-driven system models for cell analysis with deep learning.
Comput. Methods Programs Biomed., 2019

Deep learning for cell image segmentation and ranking.
Comput. Medical Imaging Graph., 2019

Distributed Global Digital Volume Correlation by Optimal Transport.
Proceedings of the 1st IEEE/ACM Annual Workshop on Large-scale Experiment-in-the-Loop Computing, 2019

Evaluating Fiber Detection Models Using Neural Networks.
Proceedings of the Advances in Visual Computing, 2019

Entropy Projection Curved Gabor with Random Forest and SVM for Face Recognition.
Proceedings of the Advances in Visual Computing, 2019

Saliency-Driven System With Deep Learning for Cell Image Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

An Iterated Local Search-Based Algorithm to Support Cell Nuclei Detection in Pap Smears Test.
Proceedings of the Enterprise Information Systems - 21st International Conference, 2019

An Iterated Local Search Algorithm for Cell Nuclei Detection from Pap Smear Images.
Proceedings of the 21st International Conference on Enterprise Information Systems, 2019

2018
Reverse image search for scientific data within and beyond the visible spectrum.
Expert Syst. Appl., 2018

Gradient Boosting Decision Trees for Echocardiogram Images.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells.
IEEE J. Biomed. Health Informatics, 2017

Portable Learning Environments for Hands-On Computational Instruction: Using Container- and Cloud-Based Technology to Teach Data Science.
Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

A multi-objective approach for calibration and detection of cervical cells nuclei.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Distributed memory parallel Markov random fields using graph partitioning.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Multimodal Whole Brain Registration: MRI and High Resolution Histology.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016


Convolutional neural networks at the interface of physical and digital data.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
Investigating Pill Recognition Methods for a New National Library of Medicine Image Dataset.
Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Fast detection of material deformation through structural dissimilarity.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Structure recognition from high resolution images of ceramic composites.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Multiscale Corner Detection in Planar Shapes.
J. Math. Imaging Vis., 2013

Automated Pap Smear Cell Analysis: Optimizing the Cervix Cytological Examination.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Assessing the accuracy of macula detection methods in retinal images.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012
Augmented Topological Descriptors of Pore Networks for Material Science.
IEEE Trans. Vis. Comput. Graph., 2012

2011
Corner Detection within a Multiscale Framework.
Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011

Poster: I/O workload analysis with server-side data collection.
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis, 2011

2010
Wavelet Analysis for Wind Fields Estimation.
Sensors, 2010

SAR imagery segmentation by statistical region growing and hierarchical merging.
Digit. Signal Process., 2010

2009
Target Detection in SAR Images Based on a Level Set Approach.
IEEE Trans. Syst. Man Cybern. Part C, 2009

Iterative self-dual reconstruction on radar image recovery.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

2008
Automated Analysis for Detecting Beams in Laser Wakefield Simulations.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2006
Leukocyte Detection Using Nucleus Contour Propagation.
Proceedings of the Medical Imaging and Augmented Reality, 2006

2005
Support Vector Machines Applied to White Blood Cell Recognition.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

2004
Diagnóstico de leucemia linfóide auxiliado por computador.
PhD thesis, 2004

A texture approach to leukocyte recognition.
Real Time Imaging, 2004

Toward Leukocyte Recognition Using Morphometry, Texture And Color.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

2002
Chromatin texture characterization using multiscale fractal dimension.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002


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