Euijoon Ahn

Orcid: 0000-0001-7027-067X

According to our database1, Euijoon Ahn authored at least 29 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images.
Mach. Intell. Res., August, 2023

Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification.
CoRR, 2023

A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images.
CoRR, 2023

UNAEN: Unsupervised Abnomality Extraction Network for MRI Motion Artifact Reduction.
CoRR, 2023

Automated periodontitis bone loss diagnosis in panoramic radiographs using a bespoke two-stage detector.
Comput. Biol. Medicine, 2023

Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI.
CoRR, 2022

Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation.
CoRR, 2022

Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation.
CoRR, 2021

A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation.
IEEE Trans. Medical Imaging, 2020

A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Step-wise integration of deep class-specific learning for dermoscopic image segmentation.
Pattern Recognit., 2019

Convolutional sparse kernel network for unsupervised medical image analysis.
Medical Image Anal., 2019

Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification.
CoRR, 2019

Unsupervised Deep Transfer Feature Learning for Medical Image Classification.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis.
CoRR, 2018

2017
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.
IEEE J. Biomed. Health Informatics, 2017

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.
IEEE Trans. Biomed. Eng., 2017

Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks.
CoRR, 2017

Semi-automatic skin lesion segmentation via fully convolutional networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Automated saliency-based lesion segmentation in dermoscopic images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015


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