Hyungjin Chung
Orcid: 0000-0003-3202-0893
According to our database1,
Hyungjin Chung
authored at least 34 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
CoRR, 2024
Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
IEEE Trans. Medical Imaging, April, 2023
Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Imaging Inverse Problems.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Image Processing, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective.
IEEE Signal Process. Mag., 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Medical Imaging, 2021
Missing Cone Artifact Removal in ODT Using Unsupervised Deep Learning in the Projection Domain.
IEEE Trans. Computational Imaging, 2021
Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN.
Nat. Mach. Intell., 2021
Two-stage deep learning for accelerated 3D time-of-flight MRA without matched training data.
Medical Image Anal., 2021
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning.
CoRR, 2021
Feature Disentanglement in generating three-dimensional structure from two-dimensional slice with sliceGAN.
CoRR, 2021
CoRR, 2021
2020
IEEE Trans. Computational Imaging, 2020
CoRR, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020