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 29 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
HACA3: A unified approach for multi-site MR image harmonization.
Comput. Medical Imaging Graph., October, 2023

A Survey on Deep Learning in Medical Image Registration: New Technologies, Uncertainty, Evaluation Metrics, and Beyond.
CoRR, 2023

Deep Unsupervised Phase-based 3D Incompressible Motion Estimation in Tagged-MRI.
CoRR, 2023

Cross-identity Video Motion Retargeting with Joint Transformation and Synthesis.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Deformable Cross-Attention Transformer for Medical Image Registration.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

A latent space for unsupervised MR image quality control via artifact assessment.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Unsupervised quality assurance for brain MR image rigid registration using latent shape representation.
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.
Proceedings of the Medical Imaging with Deep Learning, 2023

Recurrent Self Fusion: Iterative Denoising for Consistent Retinal OCT Segmentation.
Proceedings of the Ophthalmic Medical Image Analysis - 10th International Workshop, 2023

MomentaMorph: Unsupervised Spatial-Temporal Registration with Momenta, Shooting, and Correction.
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.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Disentangled Representation Learning for OCTA Vessel Segmentation With Limited Training Data.
IEEE Trans. Medical Imaging, 2022

HACA3: A Unified Approach for Multi-site MR Image Harmonization.
CoRR, 2022

Coordinate Translator for Learning Deformable Medical Image Registration.
CoRR, 2022

Cranial meninges reconstruction based on convolutional networks and deformable models: applications to longitudinal study of normal aging.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

Disentangling a Single MR Modality.
Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Coordinate Translator for Learning Deformable Medical Image Registration.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022

2021
Unsupervised MR harmonization by learning disentangled representations using information bottleneck theory.
NeuroImage, 2021

Structured layer surface segmentation for retina OCT using fully convolutional regression networks.
Medical Image Anal., 2021

Label super resolution for 3D magnetic resonance images using deformable U-net.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Information-Based Disentangled Representation Learning for Unsupervised MR Harmonization.
Proceedings of the Information Processing in Medical Imaging, 2021

2020
Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Adversarial domain adaptation for multi-device retinal OCT segmentation.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

Segmenting retinal OCT images with inter-B-scan and longitudinal information.
Proceedings of the Medical Imaging 2020: Image Processing, 2020

A Disentangled Latent Space for Cross-Site MRI Harmonization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Fully Convolutional Boundary Regression for Retina OCT Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Projection Artifact Suppression For Inner Retina In Oct Angiography.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Prediction of pipe performance with stacking ensemble learning based approaches.
J. Intell. Fuzzy Syst., 2018

Multi-layer fast level set segmentation for macular OCT.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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