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Xu Li 0003
Person information
- affiliation: Johns Hopkins School of Medicine, Baltimore, MD, USA
- affiliation (former): Kennedy Krieger Institute, Baltimore, MD, USA
Other persons with the same name
- Xu Li — disambiguation page
- Xu Li 0001 — Huawei Technologies Canada (and 4 more)
- Xu Li 0002 — Lanzhou University of Technology, Department of Applied Mathematics, China
- Xu Li 0004 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Xu Li 0005 — Huazhong University of Science and Technology, Department of Bio-medical Engineering, Wuhan, China
- Xu Li 0006 — Tianjin University, School of Computer Science and Technology, China
- Xu Li 0007 — Beijing Jiaotong University, School of Electronics and Information Engineering, China (and 1 more)
- Xu Li 0008 — Dalian University of Technology, School of Aeronautics and Astronautics, China
- Xu Li 0009 — State University of New York at Buffalo, Department of Computer Science and Engineering, USA (and 1 more)
- Xu Li 0010 — Northwestern Polytechnical University, School of Electronics and Information, Xian, China
- Xu Li 0011 — Northwestern University, Department of Biomedical Engineering, Evanston, IL, USA (and 1 more)
- Xu Li 0012 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Xu Li 0013 — Northeastern University, State Key Laboratory of Rolling and Automation, Shenyang, China
- Xu Li 0014 — Chongqing University, College of Computer Science, Chongqing, China
- Xu Li 0015 — ARC Lab, Tencent PCG (and 1 more)
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2020 – today
- 2023
- [j17]Zhenghan Fang, Kuo-Wei Lai, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
DeepSTI: Towards tensor reconstruction using fewer orientations in susceptibility tensor imaging. Medical Image Anal. 87: 102829 (2023) - [j16]Peter van Gelderen, Xu Li, 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:
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. NeuroImage 270: 119992 (2023) - [c4]Zhenghan Fang, Hyeong-Geol Shin, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
WaveSep: A Flexible Wavelet-Based Approach for Source Separation in Susceptibility Imaging. MLCN@MICCAI 2023: 56-66 - 2022
- [j15]Yuting Shi, Steven Cao, Xu Li, Ruimin Feng, Jie Zhuang, Yuyao Zhang, Chunlei Liu, Hongjiang Wei:
Regularized Asymmetric Susceptibility Tensor Imaging in the Human Brain in Vivo. IEEE J. Biomed. Health Informatics 26(9): 4508-4518 (2022) - [i4]Zhenghan Fang, Kuo-Wei Lai, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging. CoRR abs/2209.04504 (2022) - 2021
- [j14]Lijun Bao, Congcong Xiong, Wenping Wei, Zhong Chen, Peter C. M. van Zijl, Xu Li:
Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain. Medical Image Anal. 67: 101827 (2021) - 2020
- [j13]Samik Banerjee, Lucas Magee, Dingkang Wang, Xu Li, Bing-Xing Huo, Jaikishan Jayakumar, Katherine Matho, Meng-Kuan Lin, Keerthi Ram, Mohanasankar Sivaprakasam, Z. Josh Huang, Yusu Wang, Partha P. Mitra:
Semantic segmentation of microscopic neuroanatomical data by combining topological priors with encoder-decoder deep networks. Nat. Mach. Intell. 2(10): 585-594 (2020) - [c3]Kuo-Wei Lai, Manisha Aggarwal, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
Learned Proximal Networks for Quantitative Susceptibility Mapping. MICCAI (2) 2020: 125-135 - [i3]Dingkang Wang, Lucas Magee, Bing-Xing Huo, Samik Banerjee, Xu Li, Jaikishan Jayakumar, Meng-Kuan Lin, Keerthi Ram, Suyi Wang, Yusu Wang, Partha P. Mitra:
Detection and skeletonization of single neurons and tracer injections using topological methods. CoRR abs/2004.02755 (2020) - [i2]Kuo-Wei Lai, Manisha Aggarwal, Peter C. M. van Zijl, Xu Li, Jeremias Sulam:
Learned Proximal Networks for Quantitative Susceptibility Mapping. CoRR abs/2008.05024 (2020)
2010 – 2019
- 2019
- [j12]Xu Li, Lin Chen, Kwame S. Kutten, Can Ceritoglu, Yue Li, Ningdong Kang, John T. Hsu, Ye Qiao, Hongjiang Wei, Chunlei Liu, Michael I. Miller, Susumu Mori, David M. Yousem, Peter C. M. van Zijl, Andreia V. Faria:
Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility. NeuroImage 191: 337-349 (2019) - [c2]Daniel Tward, Xu Li, Bing-Xing Huo, Brian C. Lee, Partha P. Mitra, Michael I. Miller:
3D Mapping of Serial Histology Sections with Anomalies Using a Novel Robust Deformable Registration Algorithm. MBIA/MFCA@MICCAI 2019: 162-173 - 2018
- [j11]J. M. G. van Bergen, Xu Li, 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:
Simultaneous quantitative susceptibility mapping and Flutemetamol-PET suggests local correlation of iron and β-amyloid as an indicator of cognitive performance at high age. NeuroImage 174: 308-316 (2018) - [i1]Suyi Wang, Xu Li, Partha P. Mitra, Yusu Wang:
Topological Skeletonization and Tree-Summarization of Neurons Using Discrete Morse Theory. CoRR abs/1805.04997 (2018) - 2016
- [j10]Lijun Bao, Xu Li, Congbo Cai, Zhong Chen, Peter C. M. van Zijl:
Quantitative Susceptibility Mapping Using Structural Feature Based Collaborative Reconstruction (SFCR) in the Human Brain. IEEE Trans. Medical Imaging 35(9): 2040-2050 (2016) - 2014
- [j9]Issel Anne L. Lim, Xu Li, Craig K. Jones, Jonathan A. D. Farrell, Deepti S. Vikram, Peter C. M. van Zijl:
Quantitative magnetic susceptibility mapping without phase unwrapping using WASSR. NeuroImage 86: 265-279 (2014) - 2013
- [j8]Issel Anne L. Lim, Andreia Faria, Xu Li, Johnny T. C. Hsu, Raag D. Airan, Susumu Mori, Peter C. M. van Zijl:
Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: Application to determine iron content in deep gray matter structures. NeuroImage 82: 449-469 (2013) - [j7]Renhuan Yang, Xu Li, Aiguo Song, Bin He, Ruqiang Yan:
A 3-D Reconstruction Solution to Current Density Imaging Based on Acoustoelectric Effect by Deconvolution: A Simulation Study. IEEE Trans. Biomed. Eng. 60(5): 1181-1190 (2013) - 2012
- [j6]Xu Li, Deepti S. Vikram, Issel Anne L. Lim, Craig K. Jones, Jonathan A. D. Farrell, Peter C. M. van Zijl:
Mapping magnetic susceptibility anisotropies of white matter in vivo in the human brain at 7 T. NeuroImage 62(1): 314-330 (2012) - 2011
- [j5]Leo Mariappan, Xu Li, Bin He:
B-Scan Based Acoustic Source Reconstruction for Magnetoacoustic Tomography With Magnetic Induction (MAT-MI). IEEE Trans. Biomed. Eng. 58(3): 713-720 (2011) - 2010
- [j4]Rongmin Xia, Xu Li, Bin He:
Comparison Study of Three Different Image Reconstruction Algorithms for MAT-MI. IEEE Trans. Biomed. Eng. 57(3): 708-713 (2010) - [j3]Xu Li, Bin He:
Multi-excitation Magnetoacoustic Tomography With Magnetic Induction for Bioimpedance Imaging. IEEE Trans. Medical Imaging 29(10): 1759-1767 (2010)
2000 – 2009
- 2009
- [j2]Rongmin Xia, Xu Li, Bin He:
Reconstruction of Vectorial Acoustic Sources in Time-Domain Tomography. IEEE Trans. Medical Imaging 28(5): 669-675 (2009) - 2007
- [j1]Xu Li, Yuan Xu, Bin He:
Imaging Electrical Impedance From Acoustic Measurements by Means of Magnetoacoustic Tomography With Magnetic Induction (MAT-MI). IEEE Trans. Biomed. Eng. 54(2): 323-330 (2007) - 2006
- [c1]Xu Li, Yuan Xu, Bin He:
Simulation and experiment study of magnetoacoustic tomography with magnetic induction (MAT-MI) for bioimpedance imaging. ISBI 2006: 1088-1091
Coauthor Index
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