Euijoon Ahn

Lecturer

James Cook University

Australia

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About

Euijoon Ahn is a Lecturer at James Cook University, Australia. His research areas encompass health-safety practices in hotels, skin lesion classification, coronary artery calcium detection, ecoacoustic dataset visualization, and prostate cancer detection using advanced imaging techniques. Recent articles highlight his contributions to artificial intelligence in medical imaging, multi-resolution learning frameworks, and advancements in ecoacoustic monitoring.

Articles (17)

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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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2022

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2021

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2021

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2020

Collaborators (4)

Mattijs Elschot

Associate Professor (10%)

Norwegian University of Science and Technology

NORWAY

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Lin Schwarzkopf

Professor Personal Chair

James Cook University

AUSTRALIA

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Tao Huang

James Cook University

AUSTRALIA

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jinman kim

Professor

University of Sydney

AUSTRALIA

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Euijoon Ahn

Research Interests

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About

Articles (17)

Unravelling consumer sentiments towards communicated health-safety and sustainability practices in hotels

Self-supervised multi-modality learning for multi-label skin lesion classification

TQGDNet: Coronary artery calcium deposit detection on computed tomography

LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis

Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI

Artificial intelligence and radiologists in prostate cancer detection on MRI (PI-CAI): an international, paired, non-inferiority, confirmatory study

A multi-resolution self-supervised learning framework for semantic segmentation in histopathology

Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale passive acoustic monitoring

WaveletDFDS-Net: A Dual Forward Denoising Stream Network for Low-Dose CT Noise Reduction

Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging

A Review of Predictive and Contrastive Self-supervised Learning for Medical Images

Automated periodontitis bone loss diagnosis in panoramic radiographs using a bespoke two-stage detector

Preoperative prediction of microvascular invasion and perineural invasion in pancreatic ductal adenocarcinoma with 18F-FDG PET/CT radiomics analysis

Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss

The Checkpoint Program: Collaborative Care to Reduce the Reliance of Frequent Presenters on ED

A Mobile App and Dashboard for Early Detection of Infectious Disease Outbreaks: Development Study.

Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation

Collaborators (4)

Mattijs Elschot

Lin Schwarzkopf

Tao Huang

jinman kim

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