Boah Kim
Orcid: 0000-0001-6178-9357
According to our database1,
Boah Kim
authored at least 15 papers
between 2019 and 2024.
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Bibliography
2024
C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation.
Medical Image Anal., January, 2024
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks.
CoRR, 2024
2023
IEEE Trans. Image Process., 2023
Proceedings of the Deep Generative Models - Third MICCAI Workshop, 2023
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Contrast Agent Removal for Brain CT Angiography Using Switchable CycleGAN with AdaIN and Histogram Equalization.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
Medical Image Anal., 2021
DiffuseMorph: Unsupervised Deformable Image Registration Along Continuous Trajectory Using Diffusion Models.
CoRR, 2021
Federated Split Vision Transformer for COVID-19 CXR Diagnosis using Task-Agnostic Training.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
IEEE Trans. Image Process., 2020
2019
Multiphase Level-Set Loss for Semi-Supervised and Unsupervised Segmentation with Deep Learning.
CoRR, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019