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Xiahai Zhuang

Xiahai Zhuang

D-Index & Metrics

Computer Science

D-Index
41
Citations
6845
World Ranking
8865
National Ranking
1144

Overview

Xiahai Zhuang is affiliated with Fudan University in China and contributes extensively to the fields of medicine and computer science, with a particular focus on radiology, nuclear medicine and imaging, computer vision and pattern recognition, artificial intelligence, cardiology and cardiovascular medicine, as well as biomedical engineering.

Their research primarily revolves around medical image segmentation techniques, advanced MRI techniques and applications, radiomics and machine learning in medical imaging, cardiac imaging and diagnostics, advanced neural network applications, medical imaging techniques and applications, and domain adaptation and few-shot learning.

Frequent co-authors collaborating with Xiahai Zhuang include Lei Li, Fuping Wu, Xinzhe Luo, Liqin Huang, and Wangbin Ding.

Their publications have appeared mostly in venues such as:

  • arXiv (Cornell University)
  • Medical Image Analysis
  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Journal of Biomedical and Health Informatics

Some recent papers authored or co-authored by Xiahai Zhuang include:

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging, 2020, Medical Image Analysis
  • CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation, 2020, IEEE Transactions on Medical Imaging
  • Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge, 2021, Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona)
  • Unsupervised Domain Adaptation With Variational Approximation for Cardiac Segmentation, 2021, IEEE Transactions on Medical Imaging
  • Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge, 2022, Medical Image Analysis

Xiahai Zhuang has also contributed to book publications with Springer Science+Business Media, including:

  • Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2020
  • Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

Best Publications

  • Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI

    Xiahai Zhuang;Juan Shen

  • A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging.

    Zhaohan Xiong;Qing Xia;Zhiqiang Hu;Ning Huang

  • Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge.

    Víctor M. Campello;Polyxeni Gkontra;Cristian Izquierdo;Carlos Martín-Isla

  • Multivariate Mixture Model for Myocardial Segmentation Combining Multi-Source Images

    Xiahai Zhuang

  • Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

    Xiahai Zhuang;Lei Li;Christian Payer;Darko Stern

  • A Registration-Based Propagation Framework for Automatic Whole Heart Segmentation of Cardiac MRI

    Xiahai Zhuang;Kawal S Rhode;Reza S Razavi;David J Hawkes

  • Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network

    Yechong Huang;Jiahang Xu;Yuncheng Zhou;Tong Tong

  • Cardiac image super-resolution with global correspondence using multi-atlas patchmatch.

    Wenzhe Shi;Jose Caballero;Christian Ledig;Xiahai Zhuang

  • PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network at Unpaired Cross-Modality Cardiac Segmentation

    Qi Dou;Cheng Ouyang;Cheng Chen;Hao Chen

  • Benchmarking framework for myocardial tracking and deformation algorithms: an open access database.

    C. Tobon-Gomez;M. De Craene;M. De Craene;K. McLeod;L. Tautz

  • Challenges and methodologies of fully automatic whole heart segmentation: a review

    Xiahai Zhuang

  • The estimation of patient-specific cardiac diastolic functions from clinical measurements

    Jiahe Xi;Jiahe Xi;Pablo Lamata;Pablo Lamata;Steven Niederer;Steven Niederer;Sander Land;Sander Land

  • A Nonrigid Registration Framework Using Spatially Encoded Mutual Information and Free-Form Deformations

    Xiahai Zhuang;Simon Arridge;David J. Hawkes;Sebastien Ourselin

  • CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision

    Unknown

  • Multivariate Mixture Model for Cardiac Segmentation from Multi-Sequence MRI

    Xiahai Zhuang

  • A Comprehensive Cardiac Motion Estimation Framework Using Both Untagged and 3-D Tagged MR Images Based on Nonrigid Registration

    Wenzhe Shi;Xiahai Zhuang;Haiyan Wang;S. Duckett

  • Multiatlas whole heart segmentation of CT data using conditional entropy for atlas ranking and selection.

    Xiahai Zhuang;Wenjia Bai;Jingjing Song;Songhua Zhan

  • CF Distance: A New Domain Discrepancy Metric and Application to Explicit Domain Adaptation for Cross-Modality Cardiac Image Segmentation

    Fuping Wu;Xiahai Zhuang

  • Atrial scar quantification via multi-scale CNN in the graph-cuts framework.

    Lei Li;Fuping Wu;Guang Yang;Lingchao Xu

  • Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors

    Qian Yue;Xinzhe Luo;Qing Ye;Lingchao Xu

  • An Atlas-Based Segmentation Propagation Framework Using Locally Affine Registration --- Application to Automatic Whole Heart Segmentation

    Xiahai Zhuang;Kawal Rhode;Simon Arridge;Reza Razavi

  • Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.

    Xiahai Zhuang;Jiahang Xu;Xinzhe Luo;Chen Chen

  • Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges

    Mihaela. Pop;Maxime. Sermesant

Frequent Co-Authors

Sebastien Ourselin
Sebastien Ourselin King's College London
Daniel Rueckert
Daniel Rueckert Technical University of Munich
Wenzhe Shi
Wenzhe Shi Twitter (United States)
Julia A. Schnabel
Julia A. Schnabel King's College London
David J. Hawkes
David J. Hawkes University College London
Kawal Rhode
Kawal Rhode King's College London
Wenjia Bai
Wenjia Bai Imperial College London
Pheng-Ann Heng
Pheng-Ann Heng Chinese University of Hong Kong
Greg Slabaugh
Greg Slabaugh Queen Mary University of London
Shaoting Zhang
Shaoting Zhang University of Electronic Science and Technology of China

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