International Journal
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SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Presentation Video (Youtube)]
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Deep Learning Referral Suggestion and Tumour Discrimination using Explainable Artificial Intelligence applied to Multiparametric MRI, European Radiology, 2023
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Intelligent Noninvasive Meningioma Grading with a Fully Automatic Segmentation using Interpretable Multiparametric Deep Learning, European Radiology, 2023
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Digestive Organ Recognition in Video Capsule Endoscopy based on Temporal Segmentation Network, MICCAI, 2022
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CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation, Medical Image Analysis, 2022
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Ultra-thin crystaline silicon-based strain gauges with deep learning algorithms for silent speech interfaces, Nature Communications, 2022
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Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal Filtering, Diagnostics, 2022
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Fully Automatic Quantification of Transient Severe Respiratory Motion Artifact of Gadoxetate Disodium Enhanced MRI during Arterial Phase, Medical Physics, 2022
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M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Importance of CT image normalization in radiomics analysis: prediction of 3-year recurrence-free survival in non-small cell lung cancer. European Radiology, 2022.
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[BlochGAN]
Fat-saturated Image Generation from Multi-contrast MRIs Using Generative Adversarial Networks with Bloch Equation-based Autoencoder Regularization. Medical Image Analysis, Volume 73, October 2021, 102198
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Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. -with Facebook AI & NYU. IEEE Transactions on Medical Imaging, (In press)
[Journal Link]
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Lee, J., Kim, S., Park, I., Eo, T., Hwang, D. (2021). Relevance-CAM: Your Model Already Knows Where to Look. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 14944-14953
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Quantitative analysis of the mouth opening movement of temporomandibular joint disorder patients according to disc position using computer vision: a pilot study. QUANTITATIVE IMAGING IN MEDICINE AND SURGERY , 2021.
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Jun, Y., Shin, H., Eo, T., Hwang, D. (2021). Joint Deep Model-based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 5270-5279