Yuan Xue

Orcid: 0000-0002-5390-9037

Affiliations:
  • Johns Hopkins University, Baltimore, MD, USA
  • Pennsylvania State University, College of Information Sciences and Technology, University Park, PA, USA (former)
  • Lehigh University, Department of Computer Science and Engineering, Bethlehem, PA, USA (former)


According to our database1, Yuan Xue authored at least 43 papers between 2015 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

Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment.
Medical Image Anal., 2023

3D-Aware Talking-Head Video Motion Transfer.
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

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

Segmenting thalamic nuclei from manifold projections of multi-contrast MRI.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

Investigation of probability maps in deep-learning-based brain ventricle parcellation.
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

Synthetic Augmentation with Large-Scale Unconditional Pre-training.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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

Strain-Level Identification and Analysis of Avian Coronavirus Using Raman Spectroscopy and Interpretable Machine Learning.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Label Propagation Via Random Walk for Training Robust Thalamus Nuclei Parcellation Model from Noisy Annotations.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Rapid Brain Meninges Surface Reconstruction with Layer Topology Guarantee.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Deep image synthesis from intuitive user input: A review and perspectives.
Comput. Vis. Media, 2022

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

Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning.
CoRR, 2022

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

Bi-directional Synthesis of Pre- and Post-contrast MRI via Guided Feature Disentanglement.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

Deep Filter Bank Regression for Super-Resolution of Anisotropic MR Brain Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-contrast CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

End-to-End Graph-Constrained Vectorized Floorplan Generation with Panoptic Refinement.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Selective synthetic augmentation with HistoGAN for improved histopathology image classification.
Medical Image Anal., 2021

A Multi-attribute Controllable Generative Model for Histopathology Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Synthetic Sample Selection via Reinforcement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

SiamParseNet: Joint Body Parsing and Label Propagation in Infant Movement Videos.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Supervised machine learning for region assignment of zebrafish brain nuclei based on computational assessment of cell neighborhoods.
Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 2020

Semi-Supervised Cervical Dysplasia Classification with Learnable Graph Convolutional Network.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Neural Wireframe Renderer: Learning Wireframe to Image Translations.
Proceedings of the Computer Vision - ECCV 2020, 2020

Shape-Aware Organ Segmentation by Predicting Signed Distance Maps.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning Structure-Appearance Joint Embedding for Indoor Scene Image Synthesis.
CoRR, 2019

Selective Synthetic Augmentation with Quality Assurance.
CoRR, 2019

Synthetic Augmentation and Feature-Based Filtering for Improved Cervical Histopathology Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Online Training for Body Part Segmentation in Infant Movement Videos.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Improved Disease Classification in Chest X-Rays with Transferred Features from Report Generation.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
Pure-Exploration Bandits for Channel Selection in Mission-Critical Wireless Communications.
IEEE Trans. Veh. Technol., 2018

SegAN: Adversarial Network with Multi-scale L 1 Loss for Medical Image Segmentation.
Neuroinformatics, 2018

Multimodal Recurrent Model with Attention for Automated Radiology Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Adversarial learning with multi-scale loss for skin lesion segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
SegAN: Adversarial Network with Multi-scale L<sub>1</sub> Loss for Medical Image Segmentation.
CoRR, 2017

2016
Distributed Learning for Multi-Channel Selection in Wireless Network Monitoring.
Proceedings of the 13th Annual IEEE International Conference on Sensing, 2016

2015
Distributed exploration bandit for dynamic spectrum access.
Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015


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