Ju Zhang
bioengineering researcher in New Zealand
Facts
11 properties- Instance of
- human
- Occupation
- researcher
- Employer
- University of Auckland[2]
- Educated at
- University of Auckland, University of Auckland[3]
- Doctoral advisor
- Poul M F Nielsen, Duane Tearaitoa Kingwell Malcolm[4][5]
- Doctoral student
- Shasha Yeung, Mohammed Ziaei[7][8]
- Academic degree
- Doctor of Philosophy[9]
- Academic thesis
- Development of an automated system for building a large population-based statistical model of femur morphology[11]
- On focus list of Wikimedia project
- NZThesisProject[12]
- Student
- Shasha Yeung[6]
🏷️ Also known as
en Ju Zhang
en J. Zhang
🔖 Identifiers · 4
- ORCID iD
- 0000-0002-2282-8146
- OpenAlex ID
- A5041591830
- DBLP author ID
- 39/3127-2
- Scopus author ID
- 55535373500
🔗 Connections
Author of 8
A novel denoising method for low-dose CT images based on transformer and CNN,
Lower limb estimation from sparse landmarks using an articulated shape model,
Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models,
Multiscale musculoskeletal modelling, data–model fusion and electromyography-informed modelling,
PREDAIP: Computational Prediction and Analysis for Anti-inflammatory Peptide via a Hybrid Feature Selection Technique,
Predictive statistical models of baseline variations in 3-D femoral cortex morphology,
Recent developments in segmentation of COVID-19 CT images using deep-learning: An overview of models, techniques and challenges,
TransGraphNet: A novel network for medical image segmentation based on transformer and graph convolution
← Authored by 8
A novel denoising method for low-dose CT images based on transformer and CNN,
Lower limb estimation from sparse landmarks using an articulated shape model,
Minimal medical imaging can accurately reconstruct geometric bone models for musculoskeletal models,
Multiscale musculoskeletal modelling, data–model fusion and electromyography-informed modelling,
PREDAIP: Computational Prediction and Analysis for Anti-inflammatory Peptide via a Hybrid Feature Selection Technique,
Predictive statistical models of baseline variations in 3-D femoral cortex morphology,
Recent developments in segmentation of COVID-19 CT images using deep-learning: An overview of models, techniques and challenges,
TransGraphNet: A novel network for medical image segmentation based on transformer and graph convolution
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