Euijoon Ahn

1.7k total citations
31 papers, 957 citations indexed

About

Euijoon Ahn is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Euijoon Ahn has authored 31 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Euijoon Ahn's work include AI in cancer detection (11 papers), Cutaneous Melanoma Detection and Management (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Euijoon Ahn is often cited by papers focused on AI in cancer detection (11 papers), Cutaneous Melanoma Detection and Management (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Euijoon Ahn collaborates with scholars based in Australia, China and Germany. Euijoon Ahn's co-authors include Dagan Feng, Michael Fulham, Lei Bi, Ashnil Kumar, Jinman Kim, Jinman Kim, Changyang Li, Ickjai Lee, Zhengmin Kong and Lin Schwarzkopf and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Euijoon Ahn

26 papers receiving 937 citations

Peers

Countries citing papers authored by Euijoon Ahn

Since Specialization

Citations

This map shows the geographic impact of Euijoon Ahn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Euijoon Ahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Euijoon Ahn more than expected).

Fields of papers citing papers by Euijoon Ahn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Euijoon Ahn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Euijoon Ahn. The network helps show where Euijoon Ahn may publish in the future.

Co-authorship network of co-authors of Euijoon Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Euijoon Ahn. A scholar is included among the top collaborators of Euijoon Ahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Euijoon Ahn. Euijoon Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Self-supervised multi-modality learning for multi-label skin lesion classification 2025 ·Computer Methods and Programs in Biomedicine ·Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim	3
2	GVT2RPM: An empirical study for general video transformer adaptation to remote physiological measurement 2025 ·Biomedical Signal Processing and Control ·(unknown), Euijoon Ahn, (unknown), Faraz Pathan, Kazuaki Negishi, Jinman Kim	0
3	LEAVES: An open-source web-based tool for the scalable annotation and visualisation of large-scale ecoacoustic datasets using cluster analysis 2025 ·Ecological Informatics ·(unknown), Euijoon Ahn, (unknown), Lin Schwarzkopf, Ickjai Lee	0
4	Z-SSMNet: Zonal-aware Self-supervised Mesh Network for prostate cancer detection and diagnosis with Bi-parametric MRI 2025 ·Computerized Medical Imaging and Graphics ·Yuan Yuan, Euijoon Ahn, Dagan Feng, (unknown), Jinman Kim	2
5	A multi-resolution self-supervised learning framework for semantic segmentation in histopathology 2024 ·Pattern Recognition ·(unknown), Euijoon Ahn, Jinman Kim	10
6	Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging 2024 ·IEEE Journal of Biomedical and Health Informatics ·Yusheng Zhou, (unknown), Jianan Liu, Zhengmin Kong, Tao Huang, Euijoon Ahn, Zhihan Lv, Jinman Kim, (unknown)	0
7	WaveletDFDS-Net: A Dual Forward Denoising Stream Network for Low-Dose CT Noise Reduction 2024 ·Electronics ·Yusheng Zhou, Zhengmin Kong, Tao Huang, Euijoon Ahn, (unknown), Li Ding	1
8	Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring 2024 ·Expert Systems with Applications ·(unknown), Euijoon Ahn, (unknown), Lin Schwarzkopf, Ickjai Lee	20
9	Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation 2024 ·IEEE Transactions on Artificial Intelligence ·Jianan Liu, (unknown), Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, Dagan Feng	1
10	Deep Learning Based Multi-Scale Approach for Precision Medicine and Quantitative Imaging in Glioblastoma 2024 ·Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition ·Anum Masood, Usman Naseem, Junaid Rashid, Euijoon Ahn, Mehmood Nawaz, (unknown)	0
11	A Review of Predictive and Contrastive Self-supervised Learning for Medical Images 2023 ·(unknown), Euijoon Ahn, Dagan Feng, Jinman Kim	23
12	Preoperative prediction of microvascular invasion and perineural invasion in pancreatic ductal adenocarcinoma with 18F-FDG PET/CT radiomics analysis 2023 ·Clinical Radiology ·Chun Jiang, Yuan Yang, Bingxin Gu, Euijoon Ahn, Jinna Kim, Dagan Feng, Qiu Huang, Shaoli Song	4
13	Automated periodontitis bone loss diagnosis in panoramic radiographs using a bespoke two-stage detector 2022 ·Computers in Biology and Medicine ·Zhengmin Kong, (unknown), Yiyuan Cao, Tao Huang, Euijoon Ahn, (unknown), Huan Liu	25
14	A Mobile App and Dashboard for Early Detection of Infectious Disease Outbreaks: Development Study 2021 ·JMIR Public Health and Surveillance ·Euijoon Ahn, Na Liu, (unknown), Ronak Patel, (unknown), (unknown), (unknown), Jinman Kim	13
15	The Checkpoint Program: Collaborative Care to Reduce the Reliance of Frequent Presenters on ED 2021 ·International Journal of Integrated Care ·(unknown), Yalchin Oytam, Khairunnessa Rahman, (unknown), (unknown), Jinman Kim, Euijoon Ahn, Rod Hughes	1
16	Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation 2020 ·IEEE Transactions on Medical Imaging ·Euijoon Ahn, Ashnil Kumar, Michael Fulham, Dagan Feng, Jinman Kim	38
17	Unsupervised Deep Transfer Feature Learning for Medical Image Classification 2019 ·Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael Fulham, Jinman Kim	27
18	Convolutional sparse kernel network for unsupervised medical image analysis 2019 ·Medical Image Analysis ·Euijoon Ahn, Ashnil Kumar, Michael Fulham, Dagan Feng, Jinman Kim	30
19	Development of a risk predictive scoring system to identify patients at risk of representation to emergency department: a retrospective population-based analysis in Australia 2018 ·BMJ Open ·Euijoon Ahn, Jinman Kim, Khairunnessa Rahman, (unknown), (unknown)	6
20	Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images 2017 ·IEEE Journal of Biomedical and Health Informatics ·Euijoon Ahn, Jinman Kim, Lei Bi, Ashnil Kumar, Changyang Li, Michael Fulham, Dagan Feng	110

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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