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Vickie Bo Kyung Shim

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Senior Research Scientist

University of Auckland

New Zealand

Research Interests

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Professors in New Zealand

Recent Grants

Grant: Open

Probing the Mechanics of Disease: DTI-Based Biomarkers for Early Detection

Open Date: 2026-01-01

Close Date: 2029-01-01

Grant: Close

Revealing Dynamic ADHD Brain Behaviour using Hyperband MRI

Open Date: 2023-01-01

Close Date: 2026-01-01

Articles (20)

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2023

Collaborators (16)

Patrick McHugh

NEW ZEALAND

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Thor Besier

University of Auckland

NEW ZEALAND

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Peter Hunter

Director

University of Auckland

NEW ZEALAND

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Geoffrey Handsfield

Assistant Professor

University of North Carolina at Chapel Hill

UNITED STATES

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Jerome Maller

Research Professor

The University of Iowa

UNITED STATES

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Samantha Holdsworth

University of Auckland

NEW ZEALAND

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Nikola Kasabov

George Moore Chair Professor of Data Analytics

University of Ulster

UNITED KINGDOM

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William Schierding

Senior Research Fellow

University of Auckland

NEW ZEALAND

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Debbie Zhao

University of Auckland

NEW ZEALAND

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Liangliang Xiang

KTH Royal Institute of Technology

SWEDEN

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Gonzalo D. Maso Talou

Senior Research Fellow

University of Auckland

NEW ZEALAND

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Haribalan Kumar

University of Auckland

NEW ZEALAND

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Julie Choisne

University of Auckland

NEW ZEALAND

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Miao Qiao

Senior Lecturer

University of Auckland

NEW ZEALAND

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Helen Murray

University of Auckland

NEW ZEALAND

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Benjamin Chong

University of Auckland

NEW ZEALAND

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Vickie Bo Kyung Shim

Research Interests

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Recent Grants

Articles (20)

Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review

Characterizing the Effect of Repetitive Head Impact Exposure and mTBI on Adolescent Collision Sports Players’ Brain with Diffusion Magnetic Resonance Imaging

Exercise modulates brain pulsatility: insights from q-aMRI and MRI-based flow methods

Advancing post-stroke outcome prediction with movement-specific structural and functional brain atlases

In vivo-driven optimization of finite element models’ parameters for capturing altered mechanics in patients with Achilles tendinopathy

Integrating personalized shape prediction, biomechanical modeling, and wearables for bone stress prediction in runners

Brain tumour histopathology through the lens of deep learning: A systematic review

Subject-specific biomechanics influences tendon strains in patients with Achilles tendinopathy

Rethinking running biomechanics: a critical review of ground reaction forces, tibial bone loading, and the role of wearable sensors

Integrating an LSTM framework for predicting ankle joint biomechanics during gait using inertial sensors

Stroke Lesion Segmentation and Deep Learning: A Comprehensive Review

Histological Characterisation of a Sheep Model of Mild Traumatic Brain Injury: A Pilot Study

Integration of diffusion tensor imaging parameters with mesh morphing for in-depth analysis of brain white matter fibre tracts

Analysis of the pattern of microstructural changes in the brain after mTBI with diffusion tensor imaging and subject-specific FE models

Machine Learning for Brain MRI Data Harmonisation: A Systematic Review

Roadmap for an imaging and modelling paediatric study in rural NZ

A Narrative Review of Personalized Musculoskeletal Modeling Using the Physiome and Musculoskeletal Atlas Projects

Machine Learning for Medical Image Translation: A Systematic Review

Foot Pronation Prediction with Inertial Sensors during Running: A Preliminary Application of Data-Driven Approaches

Quantification of tumorsphere migration with a physics-based machine learning method

Collaborators (16)

Patrick McHugh

Thor Besier

Peter Hunter

Geoffrey Handsfield

Jerome Maller

Samantha Holdsworth

Nikola Kasabov

William Schierding

Debbie Zhao

Liangliang Xiang

Gonzalo D. Maso Talou

Haribalan Kumar

Julie Choisne

Miao Qiao

Helen Murray

Benjamin Chong

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