Yihao Liu

Orcid: 0000-0003-3187-9903

Affiliations:

Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, MD, USA

According to our database¹, Yihao Liu authored at least 33 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

On Finite Difference Jacobian Computation in Deformable Image Registration.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., September, 2024

Vector Field Attention for Deformable Image Registration.

[BibT_eX]

[DOI]

CoRR, 2024

From Registration Uncertainty to Segmentation Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

HACA3: A unified approach for multi-site MR image harmonization.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., October, 2023

A Survey on Deep Learning in Medical Image Registration: New Technologies, Uncertainty, Evaluation Metrics, and Beyond.

[BibT_eX]

[DOI]

CoRR, 2023

Spatially-varying Regularization with Conditional Transformer for Unsupervised Image Registration.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Unsupervised Phase-based 3D Incompressible Motion Estimation in Tagged-MRI.

[BibT_eX]

[DOI]

CoRR, 2023

Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Deformable Cross-Attention Transformer for Medical Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

A latent space for unsupervised MR image quality control via artifact assessment.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Unsupervised quality assurance for brain MR image rigid registration using latent shape representation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2023: Image Processing, 2023

DRIMET: Deep Registration-based 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging with Deep Learning, 2023

Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Automated Ventricle Parcellation and Evan's Ratio Computation in Pre- and Post-Surgical Ventriculomegaly.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

HACA3: A Unified Approach for Multi-site MR Image Harmonization.

[BibT_eX]

[DOI]

CoRR, 2022

Coordinate Translator for Learning Deformable Medical Image Registration.

[BibT_eX]

[DOI]

CoRR, 2022

Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Disentangling a Single MR Modality.

[BibT_eX]

[DOI]

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Coordinate Translator for Learning Deformable Medical Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

2021

Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory.

[BibT_eX]

[DOI]

NeuroImage, 2021

Structured layer surface segmentation for retina OCT using fully convolutional regression networks.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Label super resolution for 3D magnetic resonance images using deformable U-net.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Information-Based Disentangled Representation Learning for Unsupervised MR Harmonization.

[BibT_eX]

[DOI]

Proceedings of the Information Processing in Medical Imaging, 2021

2020

Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Adversarial domain adaptation for multi-device retinal OCT segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Segmenting retinal OCT images with inter-B-scan and longitudinal information.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2020: Image Processing, 2020

A Disentangled Latent Space for Cross-Site MRI Harmonization.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Fully Convolutional Boundary Regression for Retina OCT Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Projection Artifact Suppression For Inner Retina In Oct Angiography.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Prediction of pipe performance with stacking ensemble learning based approaches.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2018

Multi-layer fast level set segmentation for macular OCT.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Yihao Liu

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