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Daniela Ushizima

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Senior Scientist

Lawrence Berkeley National Laboratory

United States

Research Interests

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Recent Grants

Grant: Close

Autonomous Solutions for Computational Research with Immersive Browsing

Open Date: 2024-10-01

Close Date: 2026-09-01

Grant: Close

Aplicativo para colaboração entre citopatologistas

Open Date: 2020-07-10

Close Date:

Grant: Close

Simulação Tridimensional do Coração Baseada na Análise de ECG e de Imagens Cardíacas: Arritmias e Infarto do Miocárdio

Open Date: 2020-04-13

Close Date:

Grant: Close

"Graph-based analysis and visualization of multimodal multi-resolution large-scale neuroimaging data "

Open Date: 2015-09-01

Close Date: 2016-09-01

Grant: Close

CAMERA: Center for Advanced Mathematics for Energy Research Applications

Open Date: 2014-10-01

Close Date:

Articles (11)

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

Collaborators (3)

Qingxu Jin

Assistant Professor

Michigan State University

UNITED STATES

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Iryna Zenyuk

Associate Professor

University of California, Irvine

UNITED STATES

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Jeffrey Donatelli

Staff Scientist, Group Leader

Lawrence Berkeley National Laboratory

UNITED STATES

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ApplyKite TwinLearns as you apply

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Daniela Ushizima

Research Interests

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Recent Grants

Articles (11)

Achieving the hydrogen shot: Interrogating ionomer interfaces

A Review on Generative AI For Text-To-Image and Image-To-Image Generation and Implications To Scientific Images

RhizoNet segments plant roots to assess biomass and growth for enabling self-driving labs

Benchmarking topic models on scientific articles using BERTeley

In-situ microtomography image segmentation for characterizing strain-hardening cementitious composites under tension using machine learning

Detecting lithium plating dynamics in a solid-state battery with operando X-ray computed tomography using machine learning

Lithium Metal Battery Quality Control via Transformer–CNN Segmentation

Deciphering the role of p‐tau, iron and MAOB in neurobiological basis of F18‐flortaucipir signal with voxel‐to‐voxel histology to PET analysis in different tauopathies

Segmentation of cervical nuclei using convolutional neural network for conventional cytology

Artificial Intelligence (AI) and Machine Learning (ML) at Experimental Facilities

Deploying Machine Learning Based Segmentation for Scientific Imaging Analysis at Synchrotron Facilities.

Collaborators (3)

Qingxu Jin

Iryna Zenyuk

Jeffrey Donatelli

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