Simulation and experiment study of magnetoacoustic tomography with magnetic induction (MAT-MI) for bioimpedance imaging. - Xu Li 003; Yuan Xu 002; Bin He 002 (ISBI, 2006)

Imaging Electrical Impedance From Acoustic Measurements by Means of Magnetoacoustic Tomography With Magnetic Induction (MAT-MI). - Xu Li 003; Yuan Xu 002; Bin He 002 (IEEE Trans. Biomed. Eng., 2007)

Reconstruction of Vectorial Acoustic Sources in Time-Domain Tomography. - Rongmin Xia; Xu Li 003; Bin He 002 (IEEE Trans. Medical Imaging, 2009)

Comparison Study of Three Different Image Reconstruction Algorithms for MAT-MI. - Rongmin Xia; Xu Li 003; Bin He 002 (IEEE Trans. Biomed. Eng., 2010)

Multi-excitation Magnetoacoustic Tomography With Magnetic Induction for Bioimpedance Imaging. - Xu Li 003; Bin He 002 (IEEE Trans. Medical Imaging, 2010)

B-Scan Based Acoustic Source Reconstruction for Magnetoacoustic Tomography With Magnetic Induction (MAT-MI). - Leo Mariappan; Xu Li 003; Bin He 002 (IEEE Trans. Biomed. Eng., 2011)

Mapping magnetic susceptibility anisotropies of white matter in vivo in the human brain at 7 T. - Xu Li 003; Deepti S. Vikram; Issel Anne L. Lim; Craig K. Jones; Jonathan A. D. Farrell; Peter C. M. van Zijl (NeuroImage, 2012)

Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: Application to determine iron content in deep gray matter structures. - Issel Anne L. Lim; Andreia Faria; Xu Li 003; Johnny T. C. Hsu; Raag D. Airan; Susumu Mori; Peter C. M. van Zijl (NeuroImage, 2013)

A 3-D Reconstruction Solution to Current Density Imaging Based on Acoustoelectric Effect by Deconvolution: A Simulation Study. - Renhuan Yang; Xu Li 003; Aiguo Song; Bin He 002; Ruqiang Yan 001 (IEEE Trans. Biomed. Eng., 2013)

Quantitative magnetic susceptibility mapping without phase unwrapping using WASSR. - Issel Anne L. Lim; Xu Li 003; Craig K. Jones; Jonathan A. D. Farrell; Deepti S. Vikram; Peter C. M. van Zijl (NeuroImage, 2014)

Quantitative Susceptibility Mapping Using Structural Feature Based Collaborative Reconstruction (SFCR) in the Human Brain. - Lijun Bao; Xu Li 003; Congbo Cai; Zhong Chen 005; Peter C. M. van Zijl (IEEE Trans. Medical Imaging, 2016)

Topological Skeletonization and Tree-Summarization of Neurons Using Discrete Morse Theory. - Suyi Wang; Xu Li 003; Partha P. Mitra; Yusu Wang 001 (CoRR, 2018)

Simultaneous quantitative susceptibility mapping and Flutemetamol-PET suggests local correlation of iron and β-amyloid as an indicator of cognitive performance at high age. - J. M. G. van Bergen; Xu Li 003; Frances-Catherine Quevenco; A. F. Gietl; Valerie Treyer; R. Meyer; Alfred Buck; Philipp A. Kaufmann; Roger M. Nitsch; Peter C. M. van Zijl; C. Hock; P. G. Unschuld (NeuroImage, 2018)

3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm. - Daniel Tward; Xu Li 003; Bing-Xing Huo; Brian C. Lee; Partha P. Mitra; Michael I. Miller (MBIA/MFCA@MICCAI, 2019)

Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. - Xu Li 003; Lin Chen 038; Kwame S. Kutten; Can Ceritoglu; Yue Li; Ningdong Kang; John T. Hsu; Ye Qiao; Hongjiang Wei; Chunlei Liu 004; Michael I. Miller; Susumu Mori; et al. (NeuroImage, 2019)

Learned Proximal Networks for Quantitative Susceptibility Mapping. - Kuo-Wei Lai; Manisha Aggarwal; Peter C. M. van Zijl; Xu Li 003; Jeremias Sulam (MICCAI (2), 2020)

Detection and skeletonization of single neurons and tracer injections using topological methods. - Dingkang Wang; Lucas Magee; Bing-Xing Huo; Samik Banerjee; Xu Li 003; Jaikishan Jayakumar; Meng-Kuan Lin; Keerthi Ram; Suyi Wang; Yusu Wang 001; Partha P. Mitra (CoRR, 2020)

Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks. - Samik Banerjee; Lucas Magee; Dingkang Wang; Xu Li 003; Bing-Xing Huo; Jaikishan Jayakumar; Katherine Matho; Meng-Kuan Lin; Keerthi Ram; Mohanasankar Sivaprakasam; Z. Josh Huang; Yusu Wang 001; et al. (Nat. Mach. Intell., 2020)

Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain. - Lijun Bao; Congcong Xiong; Wenping Wei; Zhong Chen 005; Peter C. M. van Zijl; Xu Li 003 (Medical Image Anal., 2021)

Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in Vivo. - Yuting Shi; Steven Cao; Xu Li 003; Ruimin Feng; Jie Zhuang; Yuyao Zhang; Chunlei Liu 004; Hongjiang Wei (IEEE J. Biomed. Health Informatics, 2022)

WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility Imaging. - Zhenghan Fang; Hyeong-Geol Shin; Peter C. M. van Zijl; Xu Li 003; Jeremias Sulam (MLCN@MICCAI, 2023)

DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging. - Zhenghan Fang; Kuo-Wei Lai; Peter C. M. van Zijl; Xu Li 003; Jeremias Sulam (Medical Image Anal., 2023)

Effect of motion, cortical orientation and spatial resolution on quantitative imaging of cortical R2* and magnetic susceptibility at 0.3 mm in-plane resolution at 7 T. - Peter van Gelderen; Xu Li 003; Jacco A. de Zwart; Erin S. Beck; Serhat V. Okar; Yujia Huang; KuoWei Lai; Jeremias Sulam; Peter C. M. van Zijl; Daniel S. Reich; Jeff H. Duyn; Jiaen Liu (NeuroImage, 2023)

ProxiMO: Proximal Multi-operator Networks for Quantitative Susceptibility Mapping. - Shmuel Orenstein; Zhenghan Fang; Hyeong-Geol Shin; Peter C. M. van Zijl; Xu Li 003; Jeremias Sulam (MLCN@MICCAI, 2024)