Daniela Ushizima

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Scientific Data Management

High Resolution

Convolutional Neural Networks

Top Venues

Publications

Eric Chagnon, Ronald Pandolfi, Jeffrey Donatelli, Daniela Ushizima
Benchmarking topic models on scientific articles using BERTeley. Nat. Lang. Process. J. 6 (2024)
Jerome Quenum, Iryna Zenyuk, Daniela Ushizima
Lithium Metal Battery Quality Control via Transformer-CNN Segmentation. J. Imaging 9 (6) (2023)
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)
Jerome Quenum, David Perlmutter, Ying Huang, Iryna Zenyuk, Daniela Ushizima
Lithium Metal Battery Quality Control via Transformer-CNN Segmentation. CoRR (2023)
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 (2022)
Daniela Ushizima, Matthew McCormick, Dilworth Parkinson
Accelerating Microstructural Analytics with Dask for Volumetric X-ray Images. PyHPC@SC (2020)
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)
Dilworth Y. Parkinson, Harinarayan Krishnan, Daniela Ushizima, Matthew L. Henderson, Shreyas Cholia
Interactive Parallel Workflows for Synchrotron Tomography. XLOOP@SC (2020)
Cristina White, Daniela Ushizima, Charbel Farhat
Neural Networks Predict Fluid Dynamics Solutions from Tiny Datasets. CoRR (2019)
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)
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 (2017)
Colleen Heinemann, Talita Perciano, Daniela Ushizima, E. Wes Bethel
Distributed memory parallel Markov random fields using graph partitioning. IEEE BigData (2017)
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)
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) (2017)
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)
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)
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)
Daniela Ushizima, Talita Perciano, Dilworth Parkinson
Fast detection of material deformation through structural dissimilarity. IEEE BigData (2015)
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)
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)
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)