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Daniela Ushizima

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • last author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.GR1
  • cs.HC1
  • eess.IV1
same name
  • Daniela Ushizima — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAscribe New Dimensions to Scientific Data Visualization with VR

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.HC2025

ASCRIBE-XR: Virtual Reality for Visualization of Scientific Imagery

Ronald J. Pandolfi, Jeffrey J. Donatelli, Julian Todd +1

ASCRIBE-XR, a novel computational platform designed to facilitate the visualization and exploration of 3D volumetric data and mesh data in the context of synchrotron experiments, i…

cs.GR2025★ 1 cited

Ascribe New Dimensions to Scientific Data Visualization with VR

Daniela Ushizima, Guilherme Melo dos Santos, Zineb Sordo +2

For over half a century, the computer mouse has been the primary tool for interacting with digital data, yet it remains a limiting factor in exploring complex, multi-scale scientif…

cs.CV2025

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

This review surveys the state-of-the-art in text-to-image and image-to-image generation within the scope of generative AI. We provide a comparative analysis of three prominent arch…

eess.IV2024

An Ensemble Approach for Brain Tumor Segmentation and Synthesis

Juampablo E. Heras Rivera, Agamdeep S. Chopra, Tianyi Ren +14

The integration of machine learning in magnetic resonance imaging (MRI), specifically in neuroimaging, is proving to be incredibly effective, leading to better diagnostic accuracy,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.