Taejoon Eo
5 papers · 2021–2025 · 2 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(17)
🚀
Conference Pioneer
📈
Trend Setter
Venues
Top co-authors
Research topics
Computer Vision
(3)
Deep Learning
(3)
Machine Learning
(3)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Application Areas
(1)
Core AI · Artificial Intelligence
(1)
Core AI · Computer Vision
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory
(1)
Keywords
image reconstruction
(2)
magnetic resonance imaging
(2)
self-supervised learning
(1)
attention mechanism
(1)
unsupervised domain adaptation
(1)
medical image segmentation
(1)
deep learning
(1)
model interpretability
(1)
saliency map
(1)
convolutional neural network
(1)
explainable artificial intelligence
(1)
layer-wise relevance propagation
(1)
class activation mapping
(1)
volumetric segmentation
(1)
cross-modality adaptation
(1)
pseudo-label refinement
(1)
explainable deep learning
(1)
self-attention translation
(1)
parallel imaging
(1)
coil sensitivity map
(1)
Papers
AeSPa : Attention-guided Self-supervised Parallel Imaging for MRI Reconstruction
CVPR 2025
LLM-guided Multi-modal Multiple Instance Learning for 5-year Overall Survival Prediction of Lung Cancer
MICCAI 2024
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
CVPR 2023
Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI
CVPR 2021
Relevance-CAM: Your Model Already Knows Where To Look
CVPR 2021