Zongyuan Ge

Associate Professor

MONASH UNIVERSITY

Australia

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Zongyuan Ge is an Associate Professor at Monash University, Australia. His research areas include medical image segmentation, artificial intelligence in healthcare, and dermatological diagnostics, as evidenced by his recent publications. He has contributed to significant studies on the integration of AI in clinical practices, particularly focused on cardiovascular disease and skin lesion classification.

Zongyuan Ge

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Articles (27)

Few-Shot Learning for Medical Image Segmentation: A Review and Comparative Study

ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactions

Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: An Australian cohort study

Addressing underestimation and explanation of retinal fundus photo-based cardiovascular disease risk score: Algorithm development and validation

Corrections to “Multi-Label Generalized Zero Shot Chest X-Ray Classification By Combining Image-Text Information With Feature Disentanglement”

Accelerated retinal ageing and multimorbidity in middle-aged and older adults

Oculomics: Current Concepts and Evidence

Real-world feasibility, accuracy and acceptability of automated retinal photography and AI-based cardiovascular disease risk assessment in Australian primary care settings: a pragmatic trial

Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis

Adaptive transformer modelling of density function for nonparametric survival analysis

ALFREDO: Active Learning with FeatuRe disEntangelement and DOmain adaptation for medical image classification

Using AI to Differentiate Mpox From Common Skin Lesions in a Sexual Health Clinic: Algorithm Development and Validation Study

GANDALF: Graph-based transformer and Data Augmentation Active Learning Framework with interpretable features for multi-label chest Xray classification

Multi-Label Generalized Zero Shot Chest Xray Classification By Combining Image-Text Information With Feature Disentanglement

Prompt-driven Latent Domain Generalization for Medical Image Classification

Multimorbidity Content-Based Medical Image Retrieval and Disease Recognition Using Multi-Label Proxy Metric Learning

Medical matting: Medical image segmentation with uncertainty from the matting perspective

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation

The Association between Dietary Iron Intake and Incidence of Dementia in Adults Aged 60 Years or over in the UK Biobank

Hierarchical Knowledge Guided Learning for Real-world Retinal Disease Recognition

Big-data and artificial-intelligence-assisted vault prediction and EVO-ICL size selection for myopia correction

Effect of vault on predicting postoperative refractive error for posterior chamber phakic intraocular lens based on a machine learning model

Applications for Deep Learning in Epilepsy Genetic Research

Mutual consistency learning for semi-supervised medical image segmentation

ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning

Assessing the Generalizability of Deep Learning Models Trained on Standardized and Nonstandardized Images and Their Performance Against Teledermatologists: Retrospective Comparative Study

Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps

Collaborators (13)

Paul Bonnington

Lin Wu

Xianwen Shang

Donghao Zhang

Jiajun Sun

Brigid Betz-Stablein

Sridha Sridharan

Mehrtash Harandi

Mauricio Reyes

Tine Vestergaard

maithili sashindranath

Clinton Fookes

zhen yu

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