Euijoon Ahn
Title
Cited by
Cited by
Year
Dermoscopic image segmentation via multistage fully convolutional networks
L Bi, J Kim, E Ahn, A Kumar, M Fulham, D Feng
IEEE Transactions on Biomedical Engineering 64 (9), 2065-2074, 2017
1212017
Automatic skin lesion analysis using large-scale dermoscopy images and deep residual networks
L Bi, J Kim, E Ahn, D Feng
arXiv preprint arXiv:1703.04197, 2017
1162017
Saliency-based lesion segmentation via background detection in dermoscopic images
E Ahn, J Kim, L Bi, A Kumar, C Li, M Fulham, DD Feng
IEEE journal of biomedical and health informatics 21 (6), 1685-1693, 2017
762017
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata
L Bi, J Kim, E Ahn, D Feng, M Fulham
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1059-1062, 2016
412016
Automated saliency-based lesion segmentation in dermoscopic images
E Ahn, L Bi, YH Jung, J Kim, C Li, M Fulham, DD Feng
2015 37th annual international conference of the IEEE engineering in …, 2015
382015
Step-wise integration of deep class-specific learning for dermoscopic image segmentation
L Bi, J Kim, E Ahn, A Kumar, D Feng, M Fulham
Pattern recognition 85, 78-89, 2019
362019
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification
L Bi, J Kim, E Ahn, D Feng, M Fulham
2016 IEEE 13th international symposium on biomedical imaging (ISBI), 1055-1058, 2016
312016
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid
E Ahn, A Kumar, J Kim, C Li, D Feng, M Fulham
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 855-858, 2016
202016
Semi-automatic skin lesion segmentation via fully convolutional networks
L Bi, J Kim, E Ahn, D Feng, M Fulham
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
142017
Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis
E Ahn, A Kumar, M Fulham, D Feng, J Kim
Medical image analysis, 2019
112019
Unsupervised Deep Transfer Feature Learning for Medical Image Classification
E Ahn, A Kumar, D Feng, M Fulham, J Kim
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
62019
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification
E Ahn, A Kumar, D Feng, M Fulham, J Kim
arXiv preprint arXiv:1906.03359, 2019
42019
Automated Saliency-based Melanoma Detection in Dermoscopic Images
E Ahn, YH Jung, J Kim
Research Conver-sazione 2014, 2014
32014
Development of a risk predictive scoring system to identify patients at risk of representation to emergency department: a retrospective population-based analysis in Australia
E Ahn, J Kim, K Rahman, T Baldacchino, C Baird
BMJ open 8 (9), e021323, 2018
22018
Unsupervised Deep Feature Learning for Medical Image Analysis
E Ahn
University of Sydney, 2020
2020
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image
Y Guo, L Bi, E Ahn, D Feng, Q Wang, J Kim
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020
2020
Unsupervised Domain Adaptation to Classify Medical Images using Zero-bias Convolutional Auto-encoders and Context-based Feature Augmentation
E Ahn, A Kumar, M Fulham, D Feng, J Kim
IEEE Transactions on Medical Imaging, 2020
2020
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