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Euijoon Ahn
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2020 – today
- 2024
- [j10]Thomas Napier
, Euijoon Ahn
Advancements in preprocessing, detection and classification techniques for ecoacoustic data: A comprehensive review for large-scale Passive Acoustic Monitoring. Expert Syst. Appl. 252: 124220 (2024) - [j9]Hao Wang
A multi-resolution self-supervised learning framework for semantic segmentation in histopathology. Pattern Recognit. 155: 110621 (2024) - [j8]Jianan Liu
Unsupervised Representation Learning for 3-D Magnetic Resonance Imaging Superresolution With Degradation Adaptation. IEEE Trans. Artif. Intell. 5(9): 4660-4674 (2024) - [i14]Hao Wang, Euijoon Ahn, Jinman Kim:
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement. CoRR abs/2406.13136 (2024) - 2023
- [j7]Zhengmin Kong
Automated periodontitis bone loss diagnosis in panoramic radiographs using a bespoke two-stage detector. Comput. Biol. Medicine 152: 106374 (2023) - [j6]Wei-Chien Wang
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. Mach. Intell. Res. 20(4): 483-513 (2023) - [c13]Thomas Napier
An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification. AI (1) 2023: 468-479 - [c12]Yuan Yuan, Euijoon Ahn
SSPT-bpMRI: A Self-supervised Pre-training Scheme for Improving Prostate Cancer Detection and Diagnosis in Bi-parametric MRI. EMBC 2023: 1-4 - [c11]Shijia Zhou, Pradeeba Sridar, Narelle June Kennedy, Ann Quinton, Euijoon Ahn
A Deep-Learning Enabled Automatic Fetal Thalamus Diameter Measurement Algorithm. EMBC 2023: 1-5 - [c10]Shijia Zhou
Improving Automatic Fetal Biometry Measurement with Swoosh Activation Function. MICCAI (7) 2023: 283-292 - [i13]Yusheng Zhou, Hao Li, Jianan Liu, Zhengmin Kong, Tao Huang
UNAEN: Unsupervised Abnomality Extraction Network for MRI Motion Artifact Reduction. CoRR abs/2301.01732 (2023) - [i12]Wei-Chien Wang, Euijoon Ahn, Dagan Feng, Jinman Kim:
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images. CoRR abs/2302.05043 (2023) - [i11]Hao Wang, Euijoon Ahn, Jinman Kim:
A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images. CoRR abs/2303.11019 (2023) - [i10]Hao Wang, Euijoon Ahn, Lei Bi, Jinman Kim:
Self-Supervised Multi-Modality Learning for Multi-Label Skin Lesion Classification. CoRR abs/2310.18583 (2023) - 2022
- [c9]Hao Wang
Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss. AAAI 2022: 2431-2439 - [i9]Jianan Liu, Hao Li, Tao Huang
Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation. CoRR abs/2205.06891 (2022) - [i8]Yuan Yuan, Euijoon Ahn, Dagan Feng, Mohamed Khadra, Jinman Kim:
Z-SSMNet: A Zonal-aware Self-Supervised Mesh Network for Prostate Cancer Detection and Diagnosis in bpMRI. CoRR abs/2212.05808 (2022) - 2021
- [c8]Euijoon Ahn
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. MICCAI (1) 2021: 379-388 - [i7]Euijoon Ahn, Dagan Feng, Jinman Kim:
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation. CoRR abs/2107.04934 (2021) - [i6]Hao Wang, Euijoon Ahn, Jinman Kim:
Self-Supervised Learning Framework for Remote Heart Rate Estimation Using Spatiotemporal Augmentation. CoRR abs/2107.07695 (2021) - 2020
- [j5]Euijoon Ahn
Unsupervised Domain Adaptation to Classify Medical Images Using Zero-Bias Convolutional Auto-Encoders and Context-Based Feature Augmentation. IEEE Trans. Medical Imaging 39(7): 2385-2394 (2020) - [c7]Yuyu Guo, Lei Bi, Euijoon Ahn
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. CVPR 2020: 4725-4734 - [i5]Yuyu Guo, Lei Bi, Euijoon Ahn, Dagan Feng, Qian Wang, Jinman Kim:
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image. CoRR abs/2002.12680 (2020)
2010 – 2019
- 2019
- [j4]Euijoon Ahn
Convolutional sparse kernel network for unsupervised medical image analysis. Medical Image Anal. 56: 140-151 (2019) - [j3]Lei Bi
Step-wise integration of deep class-specific learning for dermoscopic image segmentation. Pattern Recognit. 85: 78-89 (2019) - [c6]Euijoon Ahn
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. ISBI 2019: 1915-1918 - [i4]Euijoon Ahn, Ashnil Kumar, Dagan Feng, Michael J. Fulham, Jinman Kim:
Unsupervised Deep Transfer Feature Learning for Medical Image Classification. CoRR abs/1903.06342 (2019) - [i3]Euijoon Ahn
Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification. CoRR abs/1906.03359 (2019) - 2018
- [i2]Euijoon Ahn, Jinman Kim, Ashnil Kumar, Michael J. Fulham, Dagan Feng:
Sparsity-based Convolutional Kernel Network for Unsupervised Medical Image Analysis. CoRR abs/1807.05648 (2018) - 2017
- [j2]Lei Bi
Dermoscopic Image Segmentation via Multistage Fully Convolutional Networks. IEEE Trans. Biomed. Eng. 64(9): 2065-2074 (2017) - [j1]Euijoon Ahn
Saliency-Based Lesion Segmentation Via Background Detection in Dermoscopic Images. IEEE J. Biomed. Health Informatics 21(6): 1685-1693 (2017) - [c5]Lei Bi
Semi-automatic skin lesion segmentation via fully convolutional networks. ISBI 2017: 561-564 - [i1]Lei Bi, Jinman Kim, Euijoon Ahn
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks. CoRR abs/1703.04197 (2017) - 2016
- [c4]Euijoon Ahn
X-ray image classification using domain transferred convolutional neural networks and local sparse spatial pyramid. ISBI 2016: 855-858 - [c3]Lei Bi
Automatic melanoma detection via multi-scale lesion-biased representation and joint reverse classification. ISBI 2016: 1055-1058 - [c2]Lei Bi
Automated skin lesion segmentation via image-wise supervised learning and multi-scale superpixel based cellular automata. ISBI 2016: 1059-1062 - 2015
- [c1]Euijoon Ahn
Automated saliency-based lesion segmentation in dermoscopic images. EMBC 2015: 3009-3012
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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