Chromatin texture characterization using multiscale fractal dimension. - Daniela Mayumi Ushizima Sabino; Edson Koiti Nakamura; Luciano da F. Costa; Rodrigo T. Calado; Marco Antonio Zago (DSP, 2002)

Toward Leukocyte Recognition Using Morphometry, Texture And Color. - Daniela Mayumi Ushizima Sabino; Luciano da Fontoura Costa; Marco Antonio Zago; Edgar Gil Rizzatti (ISBI, 2004)

A texture approach to leukocyte recognition. - Daniela Mayumi Ushizima Sabino; Luciano da Fontoura Costa; Edgar Gil Rizzatti; Marco Antonio Zago (Real Time Imaging, 2004)

Diagnóstico de leucemia linfóide auxiliado por computador. - Daniela Mayumi Ushizima (2004)

Support Vector Machines Applied to White Blood Cell Recognition. - Daniela Mayumi Ushizima; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (HIS, 2005)

Leukocyte Detection Using Nucleus Contour Propagation. - Daniela Mayumi Ushizima Sabino; Rodrigo T. Calado; Edgar Gil Rizzatti (MIAR, 2006)

Automated Analysis for Detecting Beams in Laser Wakefield Simulations. - 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 (ICMLA, 2008)

Iterative self-dual reconstruction on radar image recovery. - Charles Iury Oliveira Martins; Daniela Mayumi Ushizima; Fátima N. S. de Medeiros; Francisco Nivando Bezerra; Régis C. P. Marques; Nelson D. A. Mascarenhas (WACV, 2009)

Target Detection in SAR Images Based on a Level Set Approach. - Régis C. P. Marques; Fátima Nelsizeuma Sombra de Medeiros; Daniela Mayumi Ushizima (IEEE Trans. Syst. Man Cybern. Part C, 2009)

SAR imagery segmentation by statistical region growing and hierarchical merging. - E. A. Carvalho; Daniela Mayumi Ushizima Sabino; Fátima Nelsizeuma Sombra de Medeiros; Charles Iury Oliveira Martins; Régis C. P. Marques; Isaura N. S. Oliveira (Digit. Signal Process., 2010)

Wavelet Analysis for Wind Fields Estimation. - Gladeston C. Leite; Daniela Mayumi Ushizima; Fátima N. S. de Medeiros; Gilson G. De Lima (Sensors, 2010)

Poster: I/O workload analysis with server-side data collection. - Andrew Uselton; Daniela Mayumi Ushizima (SC Companion, 2011)

Corner Detection within a Multiscale Framework. - Ialis C. Paula Jr.; Fátima N. S. de Medeiros; Francisco Nivando Bezerra; Daniela Mayumi Ushizima (SIBGRAPI, 2011)

Augmented Topological Descriptors of Pore Networks for Material Science. - Daniela Mayumi Ushizima; Dmitriy Morozov; Gunther H. Weber; Andrea Gomes Campos Bianchi; James A. Sethian; E. Wes Bethel (IEEE Trans. Vis. Comput. Graph., 2012)

Assessing the accuracy of macula detection methods in retinal images. - Rodrigo M. S. Veras; Fátima N. S. de Medeiros; Romuere R. V. e Silva; Daniela Ushizima (DSP, 2013)

Automated Pap Smear Cell Analysis: Optimizing the Cervix Cytological Examination. - Daniela Mayumi Ushizima; Alessandra H. Gomes; Cláudia M. Carneiro; Andrea Gomes Campos Bianchi (ICMLA (2), 2013)

Multiscale Corner Detection in Planar Shapes. - Ialis C. Paula Jr.; Fátima Nelsizeuma Sombra de Medeiros; Francisco Nivando Bezerra; Daniela Mayumi Ushizima (J. Math. Imaging Vis., 2013)

Structure recognition from high resolution images of ceramic composites. - Daniela Ushizima; Talita Perciano; Harinarayan Krishnan; Burlen Loring; Hrishikesh Bale; Dilworth Parkinson; James A. Sethian (IEEE BigData, 2014)

Fast detection of material deformation through structural dissimilarity. - Daniela Ushizima; Talita Perciano; Dilworth Parkinson (IEEE BigData, 2015)

Investigating Pill Recognition Methods for a New National Library of Medicine Image Dataset. - Daniela Ushizima; Allan Carneiro; Marcelo Souza; Fátima N. S. de Medeiros (ISVC (2), 2015)

Convolutional neural networks at the interface of physical and digital data. - Daniela Ushizima; Chao Yang 001; Singanallur V. Venkatakrishnan; Flávio H. D. Araújo; Romuere Rôdrigues Veloso e Silva; Haoran Tang; Joao Vitor Mascarenhas; Alexander Hexemer; Dilworth Parkinson; James A. Sethian (AIPR, 2016)

Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. - S. V. Venkatakrishnan 001; 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; et al. (Computational Imaging, 2016)

Multimodal Whole Brain Registration: MRI and High Resolution Histology. - Maryana Alegro; Edson Amaro Júnior; Burlen Loring; Helmut Heinsen; Eduardo Alho; Lilla Zöllei; Daniela Ushizima; Lea T. Grinberg (CVPR Workshops, 2016)

Reduced-complexity image segmentation under parallel Markov Random Field formulation using graph partitioning. - Talita Perciano; Daniela Mayumi Ushizima; E. Wes Bethel; Yariv Dror Mizrahi; Dilworth Parkinson; James A. Sethian (ICIP, 2016)

Distributed memory parallel Markov random fields using graph partitioning. - Colleen Heinemann; Talita Perciano; Daniela Ushizima; E. Wes Bethel (IEEE BigData, 2017)

A multi-objective approach for calibration and detection of cervical cells nuclei. - 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 (CEC, 2017)

Portable Learning Environments for Hands-On Computational Instruction: Using Container- and Cloud-Based Technology to Teach Data Science. - Chris Holdgraf; Aaron Culich; Ariel Rokem; Fatma Deniz; Maryana Alegro; Daniela Ushizima (PEARC, 2017)

Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells. - Zhi Lu; Gustavo Carneiro 001; Andrew P. Bradley; Daniela Ushizima; Masoud S. Nosrati; Andrea G. C. Bianchi; Cláudia M. Carneiro; Ghassan Hamarneh (IEEE J. Biomed. Health Informatics, 2017)

Gradient Boosting Decision Trees for Echocardiogram Images. - Vinícius Veloso de Melo; Daniela Mayumi Ushizima; Salety Ferreira Baracho; Regina Célia Coelho (IJCNN, 2018)

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

An Iterated Local Search Algorithm for Cell Nuclei Detection from Pap Smear Images. - 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 (ICEIS (1), 2019)

An Iterated Local Search-Based Algorithm to Support Cell Nuclei Detection in Pap Smears Test. - 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 (ICEIS (Revised Selected Papers), 2019)

Saliency-Driven System With Deep Learning for Cell Image Classification. - Daniel S. Ferreira; Geraldo Luis Bezerra Ramalho; Fátima N. S. de Medeiros; Andrea G. C. Bianchi; Cláudia M. Carneiro; Daniela Mayumi Ushizima (ISBI, 2019)

Entropy Projection Curved Gabor with Random Forest and SVM for Face Recognition. - Eucassio G. Lima Junior; Luis H. S. Vogado; Ricardo de A. L. Rabelo; Cornélia J. P. Passarinho; Daniela M. Ushizima (ISVC (2), 2019)

Evaluating Fiber Detection Models Using Neural Networks. - Silvia Miramontes; Daniela M. Ushizima; Dilworth Y. Parkinson (ISVC (2), 2019)

Distributed Global Digital Volume Correlation by Optimal Transport. - John Michael L. MacNeil; Dmitriy Morozov; Francesco Panerai; Dilworth Parkinson; Harold S. Barnard; Daniela Ushizima (XLOOP@SC, 2019)

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

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

Neural Networks Predict Fluid Dynamics Solutions from Tiny Datasets. - Cristina White; Daniela Ushizima; Charbel Farhat (CoRR, 2019)

Radial feature descriptors for cell classification and recommendation. - Romuere R. V. e Silva; Flávio H. D. Araújo; Daniela Mayumi Ushizima; Andrea G. C. Bianchi; Cláudia M. Carneiro; Fátima N. S. de Medeiros (J. Vis. Commun. Image Represent., 2019)

Interactive volumetric segmentation for textile micro-tomography data using wavelets and nonlocal means. - J. Michael L. MacNeil; Daniela M. Ushizima; Francesco Panerai; Nagi N. Mansour; Harold S. Barnard; Dilworth Y. Parkinson (Stat. Anal. Data Min., 2019)

Fusion of Color Bands Using Genetic Algorithm to Segment Melanoma. - Rafael L. Araújo; Daniela M. Ushizima; Romuere R. V. Silva (ISBI Workshops, 2020)

Lung CT Screening With 3D Convolutional Neural Network Architectures. - Thiago José Barbosa Lima; Daniela Ushizima; Antonio Oseas de Carvalho Filho; Flávio Henrique Duarte de Araújo (ISBI Workshops, 2020)

Accelerating Microstructural Analytics with Dask for Volumetric X-ray Images. - Daniela Ushizima; Matthew McCormick 001; Dilworth Parkinson (PyHPC@SC, 2020)

Interactive Parallel Workflows for Synchrotron Tomography. - Dilworth Y. Parkinson; Harinarayan Krishnan; Daniela Ushizima; Matthew L. Henderson; Shreyas Cholia (XLOOP@SC, 2020)

Automatic Classification of Cervical Cell Patches based on Non-geometric Characteristics. - Douglas Wender A. Isidoro; Cláudia M. Carneiro; Mariana T. Resende; Fátima N. S. de Medeiros; Daniela M. Ushizima; Andrea Gomes Campos Bianchi (VISIGRAPP (5: VISAPP), 2020)

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

A reusable pipeline for large-scale fiber segmentation on unidirectional fiber beds using fully convolutional neural networks. - Alexandre Fioravante de Siqueira; Daniela Mayumi Ushizima; Stéfan van der Walt (CoRR, 2021)

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

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

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

Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. - 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; et al. (Image Processing: Algorithms and Systems, 2023)

Lithium Metal Battery Quality Control via Transformer-CNN Segmentation. - Jerome Quenum; David Perlmutter; Ying Huang; Iryna Zenyuk; Daniela Ushizima (CoRR, 2023)

Lithium Metal Battery Quality Control via Transformer-CNN Segmentation. - Jerome Quenum; Iryna Zenyuk; Daniela Ushizima (J. Imaging, 2023)

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

An Ensemble Approach for Brain Tumor Segmentation and Synthesis. - Juampablo Heras Rivera; Agamdeep Chopra; Tianyi Ren; Hitender Oswal; Yutong Pan; Zineb Sordo; Sophie Walters; William Henry; Hooman Mohammadi; Riley Olson; Fargol Rezayaraghi; Tyson Lam; et al. (CoRR, 2024)

Benchmarking topic models on scientific articles using BERTeley. - Eric Chagnon; Ronald Pandolfi; Jeffrey Donatelli; Daniela Ushizima (Nat. Lang. Process. J., 2024)

A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images. - Zineb Sordo; Eric Chagnon; Daniela Ushizima (CoRR, 2025)

Ascribe New Dimensions to Scientific Data Visualization with VR. - Daniela Ushizima; Guilherme Melo dos Santos; Zineb Sordo; Ronald Pandolfi; Jeffrey Donatelli (CoRR, 2025)

Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data. - Shubhabrata Mukherjee; Jack Lang; Obeen Kwon; Iryna Zenyuk; Valerie Brogden; Adam Weber; Daniela Ushizima (CoRR, 2025)

ASCRIBE-XR: Virtual Reality for Visualization of Scientific Imagery. - Ronald Pandolfi; Jeffrey J. Donatelli; Julian Todd; Daniela Ushizima (CoRR, 2025)