Daniela Ushizima

31 papers Journal 13Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images. CoRR Zineb Sordo, Eric Chagnon, Daniela Ushizima
2025	—	`conf`	ASCRIBE-XR: Extended Reality for Visualization of Scientific Images. SC Workshops Ronald Pandolfi, Julian Todd, Jeffrey J. Donatelli, Daniela Ushizima
2025	J	`jnl`	ASCRIBE-XR: Virtual Reality for Visualization of Scientific Imagery. CoRR Ronald Pandolfi, Jeffrey J. Donatelli, Julian Todd, Daniela Ushizima
2025	J	`jnl`	Ascribe New Dimensions to Scientific Data Visualization with VR. CoRR Daniela Ushizima, Guilherme Melo dos Santos, Zineb Sordo, Ronald Pandolfi, Jeffrey Donatelli
2025	—	`conf`	Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data. ICPP Workshops Shubhabrata Mukherjee, Jack Lang, Obeen Kwon, Iryna Zenyuk, Valerie Brogden, Adam Weber, Daniela Ushizima
2025	J	`jnl`	Foundation Models for Zero-Shot Segmentation of Scientific Images without AI-Ready Data. CoRR Shubhabrata Mukherjee, Jack Lang, Obeen Kwon, Iryna Zenyuk, Valerie Brogden, Adam Weber, Daniela Ushizima
2025	J	`jnl`	Synthetic Scientific Image Generation with VAE, GAN, and Diffusion Model Architectures. J. Imaging Zineb Sordo, Eric Chagnon, Zixi Hu, Jeffrey J. Donatelli, Peter Andeer, Peter S. Nico, Trent Northen, Daniela Ushizima
2024	J	`jnl`	An Ensemble Approach for Brain Tumor Segmentation and Synthesis. CoRR 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, Akshay Jaikanth, Pavan Kancharla, Jacob Ruzevick, Daniela Ushizima, Mehmet Kurt
2024	J	`jnl`	Benchmarking topic models on scientific articles using BERTeley. Nat. Lang. Process. J. Eric Chagnon, Ronald Pandolfi, Jeffrey Donatelli, Daniela Ushizima
2023	—	`conf`	Deploying machine learning based segmentation for scientific imaging analysis at synchrotron facilities. Image Processing: Algorithms and Systems 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
2023	J	`jnl`	Lithium Metal Battery Quality Control via Transformer-CNN Segmentation. CoRR Jerome Quenum, David Perlmutter, Ying Huang, Iryna Zenyuk, Daniela Ushizima
2023	J	`jnl`	Lithium Metal Battery Quality Control via Transformer-CNN Segmentation. J. Imaging Jerome Quenum, Iryna Zenyuk, Daniela Ushizima
2022	J	`jnl`	Deep learning for Alzheimer's disease: Mapping large-scale histological tau protein for neuroimaging biomarker validation. NeuroImage 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
2020	—	`conf`	Accelerating Microstructural Analytics with Dask for Volumetric X-ray Images. PyHPC@SC Daniela Ushizima, Matthew McCormick, Dilworth Parkinson
2020	—	`conf`	Interactive Parallel Workflows for Synchrotron Tomography. XLOOP@SC Dilworth Y. Parkinson, Harinarayan Krishnan, Daniela Ushizima, Matthew L. Henderson, Shreyas Cholia
2020	—	`conf`	Lung CT Screening With 3D Convolutional Neural Network Architectures. ISBI Workshops Thiago José Barbosa Lima, Daniela Ushizima, Antonio Oseas de Carvalho Filho, Flávio Henrique Duarte de Araújo
2019	—	`ed.`	Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part I ISVC (1) George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu
2019	—	`ed.`	Advances in Visual Computing - 14th International Symposium on Visual Computing, ISVC 2019, Lake Tahoe, NV, USA, October 7-9, 2019, Proceedings, Part II ISVC (2) George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Daniela Ushizima, Sek Chai, Shinjiro Sueda, Xin Lin, Aidong Lu, Daniel Thalmann, Chaoli Wang, Panpan Xu
2019	—	`conf`	Distributed Global Digital Volume Correlation by Optimal Transport. XLOOP@SC John Michael L. MacNeil, Dmitriy Morozov, Francesco Panerai, Dilworth Parkinson, Harold S. Barnard, Daniela Ushizima
2019	J	`jnl`	Neural Networks Predict Fluid Dynamics Solutions from Tiny Datasets. CoRR Cristina White, Daniela Ushizima, Charbel Farhat
2017	—	`conf`	Distributed memory parallel Markov random fields using graph partitioning. IEEE BigData Colleen Heinemann, Talita Perciano, Daniela Ushizima, E. Wes Bethel
2017	J	`jnl`	Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells. IEEE J. Biomed. Health Informatics Zhi Lu, Gustavo Carneiro, Andrew P. Bradley, Daniela Ushizima, Masoud S. Nosrati, Andrea G. C. Bianchi, Cláudia M. Carneiro, Ghassan Hamarneh
2017	—	`conf`	Portable Learning Environments for Hands-On Computational Instruction: Using Container- and Cloud-Based Technology to Teach Data Science. PEARC Chris Holdgraf, Aaron Culich, Ariel Rokem, Fatma Deniz, Maryana Alegro, Daniela Ushizima
2017	J	`jnl`	Portable learning environments for hands-on computational instruction: Using container- and cloud-based technology to teach data science. CoRR Chris Holdgraf, Aaron Culich, Ariel Rokem, Fatma Deniz, Maryana Alegro, Daniela Ushizima
2016	—	`conf`	Convolutional neural networks at the interface of physical and digital data. AIPR 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
2016	—	`conf`	Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible. Computational Imaging 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
2016	—	`conf`	Multimodal Whole Brain Registration: MRI and High Resolution Histology. CVPR Workshops Maryana Alegro, Edson Amaro Júnior, Burlen Loring, Helmut Heinsen, Eduardo Alho, Lilla Zöllei, Daniela Ushizima, Lea T. Grinberg
2015	—	`conf`	Fast detection of material deformation through structural dissimilarity. IEEE BigData Daniela Ushizima, Talita Perciano, Dilworth Parkinson
2015	—	`conf`	Investigating Pill Recognition Methods for a New National Library of Medicine Image Dataset. ISVC (2) Daniela Ushizima, Allan Carneiro, Marcelo Souza, Fátima N. S. de Medeiros
2014	—	`conf`	Structure recognition from high resolution images of ceramic composites. IEEE BigData Daniela Ushizima, Talita Perciano, Harinarayan Krishnan, Burlen Loring, Hrishikesh Bale, Dilworth Parkinson, James A. Sethian
2013	—	`conf`	Assessing the accuracy of macula detection methods in retinal images. DSP Rodrigo M. S. Veras, Fátima N. S. de Medeiros, Romuere R. V. e Silva, Daniela Ushizima