Euijoon AhnPostdoctoral Research Fellow School of Computer Science, Email: osmond332[AT]gmail[DOT]com |
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Short BiographyI am a postdoctoral research fellow at the Biomedical Multimedia Information Technology (BMIT) group, School of Computer Science, The University of Sydney.
I obtained my PhD degree in Computer Science (medical image analysis) from The University of Sydney in 2020 under the supervision of Dr. Ashnil Kumar,
Prof. David Feng, and A/Prof. Jinman Kim.
I received B. IT degree from The University of Newcastle, Australia, 2009 and M. IT (2014) and MPhil (2016) degree from The University of Sydney. I am also a Research Associate at the Telehealth and Technology Centre, Nepean Hospital, Australia. I was an IT Consultant at the ECNESOFT, in Australia between 2010 to 2016.
I was born in |
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Honours and Awards
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Research AreasDeep Learning, Machine Learning, Medical Image Analysis, Health Informatics, Telehealth My research focus is on the development of unsupervised deep learning models for medical image analysis, for improving image segmentation, retrieval, quantification and classification without relying on labelled data. |
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Selected PublicationsE. Ahn, "Unsupervised Deep Feature Learning for Medical Image Analysis", The University of Sydney (PhD Thesis), 2020. [paper] Y. Guo, L. Bi, E. Ahn, D. Feng, Q. Wang and J. Kim, "A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (Acceptance Rate: 22.1%) [paper] [code] E. Ahn, A. Kumar, M. Fulham, D. Feng and J. Kim, "Unsupervised Domain Adaptation to Classify Medical Images using Zero-bias Convolutional Auto-encoders and Context-based Feature Augmentation", IEEE Transactions on Medical Imaging, 2020. (IF=6.685). [paper][code] E. Ahn, A. Kumar, D. Feng, M. Fulham and J. Kim, "Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis", Medical Image Analysis, 2019. (IF=11.148). [paper] E. Ahn, A. Kumar, D. Feng, M. Fulham and J. Kim., "Unsupervised Deep Transfer Feature Learning for Medical Image Classification", IEEE International Symposium on Biomedical Imaging (ISBI), 2019. (Oral). [paper][code] L. Bi, J. Kim, E. Ahn, A. Kumar, M. Fulham and D. Feng., "Step-wise Integration of Deep Class-specific Learning for Dermoscopic Image Segmentation", Pattern Recognition, 2019. (IF=7.196). [paper] E. Ahn, J. Kim, K. Rahman, T. Baldachhino and C. Baird, "Development of a Risk Predictive Scoring System to Identify Patients at Risk of Representation to Emergency Department: a Retrospective Population-based Analysis in Australia", British Medical Journal Open (BMJ Open), 2018. (IF=2.496). [paper][supplementary data] E. Ahn, J. Kim, L. Bi, A. Kumar, C. Li, M. Fulham and D. Feng, "Saliency-based Lesion Segmentation via Background Detection in Dermoscopic Images", IEEE Journal of Biomedical Health Informatic, 2017. (IF=5.223). [paper] L. Bi, J. Kim, E. Ahn, A. Kumar, M. Fulham and D. Feng, "Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks", IEEE Transactions on Biomedical Engineering, 2017. (IF=4.424). [paper] L. Bi, J. Kim, E. Ahn, D. Feng and M. Fulham, "Semi-automatic Skin Lesion Segmentation via Fully Convolutional Networks", IEEE International Symposium on Biomedical Imaging (ISBI), 2017. [paper] E. Ahn, A. Kumar, J. Kim, C. Li, D. Feng and M. Fulham, "X-ray Image Classification Using Domain Transferred Convolutional Neural Networks and Local Sparse Spatial Pyramid", IEEE International Symposium on Biomedical Imaging (ISBI), 2016. [paper] L. Bi, J. Kim, E. Ahn, D. Feng and M. Fulham, "Automatic Melanoma Detection via Multi-Scale Lesion-biased Representation and Joint Reverse Classification", IEEE International Symposium on Biomedical Imaging (ISBI), 2016. (Oral). [paper] L. Bi, J. Kim, E. Ahn, D. Feng and M. Fulham, "Automated Skin Lesion Segmentation via Image-wise Supervised Learning and Multi-scale Superpixel Based Cellular Automata", IEEE International Symposium on Biomedical Imaging (ISBI), 2016. (Oral). [paper] [code] E. Ahn, L. Bi, Y. Jung, J. Kim, C. Li, M. Fulham and D. Feng, "Automated Saliency-based Lesion Segmentation in Dermoscopic Images", IEEE Engineering in Medicine and Biology Society (EMBC), 2015. [paper] [code] |
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Research Competitions
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Teaching
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Scientific Community Service Workshop Organisation
Invited Talks
Journal Reviewer:
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Last updated date: 30 Sep 2020. |