Euijoon Ahn

According to our database, Euijoon Ahn authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation.

Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, David Dagan Feng

IEEE Trans. Artif. Intell., September, 2024

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

Hao Wang, Euijoon Ahn, Jinman Kim

Pattern Recognit., 2024

Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring.

Thomas Napier, Euijoon Ahn, Slade Allen-Ankins, Lin Schwarzkopf, Ickjai Lee

Expert Syst. Appl., 2024

GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement.

Hao Wang, Euijoon Ahn, Jinman Kim

CoRR, 2024

2023

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

Wei-Chien Wang, Euijoon Ahn, David Feng, Jinman Kim

Mach. Intell. Res., August, 2023

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

Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim

CoRR, 2023

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

Hao Wang, Euijoon Ahn, Jinman Kim

CoRR, 2023

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

Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv

CoRR, 2023

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

Zhengmin Kong, Hui Ouyang, Yiyuan Cao, Tao Huang, Euijoon Ahn, Maoqi Zhang, Huan Liu

Comput. Biol. Medicine, 2023

Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function.

Shijia Zhou, Euijoon Ahn, Hao Wang, Ann Quinton, Narelle Kennedy, Pradeeba Sridar, Ralph Nanan, Jinman Kim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm.

Shijia Zhou, Pradeeba Sridar, Narelle June Kennedy, Ann Quinton, Euijoon Ahn, Ralph Nanan, Jinman Kim

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.

Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim

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.

Thomas Napier, Euijoon Ahn, Slade Allen-Ankins, Ickjai Lee

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.

Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim

CoRR, 2022

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

Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Adeel Razi, Wei Xiang

CoRR, 2022

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

Hao Wang, Euijoon Ahn, Jinman Kim

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

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

Hao Wang, Euijoon Ahn, Jinman Kim

CoRR, 2021

A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation.

Euijoon Ahn, Dagan Feng, Jinman Kim

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.

Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim

IEEE Trans. Medical Imaging, 2020

A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image.

Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim

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.

Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham

Pattern Recognit., 2019

Convolutional sparse kernel network for unsupervised medical image analysis.

Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng, Jinman Kim

Medical Image Anal., 2019

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

Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim

CoRR, 2019

Unsupervised Deep Transfer Feature Learning for Medical Image Classification.

Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

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

Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng

CoRR, 2018

2017

Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images.

Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael J. Fulham, David Dagan Feng

IEEE J. Biomed. Health Informatics, 2017

Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks.

Lei Bi, Jinman Kim, Euijoon Ahn, Ashnil Kumar, Michael J. Fulham, Dagan Feng

IEEE Trans. Biomed. Eng., 2017

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

Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng

CoRR, 2017

Semi-automatic skin lesion segmentation via fully convolutional networks.

Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham

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.

Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification.

Lei Bi, Jinman Kim, Euijoon Ahn, Dagan Feng, Michael J. Fulham

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.

Euijoon Ahn, Ashnil Kumar, Jinman Kim, ChangYang Li, Dagan Feng, Michael J. Fulham

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Automated saliency-based lesion segmentation in dermoscopic images.

Euijoon Ahn, Lei Bi, Younhyun Jung, Jinman Kim, Changyang Li, Michael J. Fulham, David Dagan Feng

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015