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Hui Zhang 0005

Hui Gary Zhang

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affiliation: University College London, Department of Computer Science, Centre for Medical Image Computing, London, UK
affiliation (PhD 2007): University of Pennsylvania, Penn Image Computing and Science Laboratory, Philadelphia, PA, USA

Other persons with the same name

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Hui Zhang — disambiguation page
Hui Zhang 0001 — Conviva Inc., USA (and 2 more)
Hui Zhang 0002 — Ant Financial Services Group, Blockchain Platform Division, Hangzhou, China (and 2 more)
Hui Zhang 0003 — University of Manitoba, Winnipeg, MB, Canada
Hui Zhang 0004 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more)
Hui Zhang 0006 — University of Louisville, KY, USA (and 2 more)
Hui Zhang 0007 — Sichuan University, West China Medical School, Chengdu, China
Hui Zhang 0008 — University of California at Berkeley, EECS Department, Berkeley Wireless Research Center, Berkeley, CA, USA
Hui Zhang 0009 — Inha University, Incheon, Korea
Hui Zhang 0010 — Washington University, St. Louis, MO, USA

Hui Zhang 0011 — Air Force Engineering University, Xi'an, China
Hui Zhang 0012 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
Hui Zhang 0013 — Tsinghua University, School of Software / TNList, Beijing, China
Hui Zhang 0014 — State University of New York at Stony Brook, Department of Computer Science, Stony Brook, NY, USA
Hui Zhang 0015 — Nanjing University of Information Science and Technology, School of Computer and Software, China (and 3 more)
Hui Zhang 0016 — Tsinghua University, Department of Engineering Physics, Institute of Public Safety Research, Beijing, China (and 2 more)
Hui Zhang 0018 — Tianjin University, State Key Laboratory of Precision Measurement Technology and Instrument, Tianjin, China
Hui Zhang 0019 — Beihang University, School of Transportation Science and Engineering, Beijing, China (and 3 more)
Hui Zhang 0020 — Zhejiang University, Department of Control Science and Engineering, Hangzhou, China
Hui Zhang 0021 — Beijing Normal University, Laboratory of Mathematics and Complex Systems, China
Hui Zhang 0022 — Beijing University of Aeronautics and Astronautics, School of Instrumentation Science and Opto-electronics Engineering, China
Hui Zhang 0023 — Changsha University of Science and Technology, College of Electrical and Information Engineering, Changsha, China (and 2 more)
Hui Zhang 0025 — Hebei University, College of Mathematics and Information Science, Key Lab of Machine Learning and Computational Intelligence, China (and 1 more)
Hui Zhang 0026 — First Hospital of Shanxi Medical University, Department of Radiology, Taiyuan, China
Hui Zhang 0027 — University of Hong Kong, Department of Computer Science, Hong Kong
Hui Zhang 0028 — Beihang University, School of Computer Science and Engineering, Beijing, China
Hui Zhang 0029 — Xi'an University of Architecture and Technology, School of Environmental and Municipal Engineering, China
Hui Zhang 0030 — National University of Singapore, Department of Industrial Systems Engineering and Management, Singapore (and 3 more)
Hui Zhang 0031 — Inner Mongolia University, College of Computer Science, Inner Mongolia Key Laboratory of Mongolian Information Processing Technology, Hohhot, China
Hui Zhang 0032 — Macau University of Science and Technology, Faculty of Information Technology, Taipa, Macau
Hui Zhang 0033 — Samsung Semiconductor Inc., Memory Soluation Lab, San Jose, CA, USA (and 1 more)
Hui Zhang 0034 — Nanjing University of Posts and Telecommunications, Jiangsu Key Lab of Wireless Communications / National Engineering Research Center of Communications and Networking, China (and 1 more)
Hui Zhang 0035 — Tsinghua University, Department of Computer Science and Technology, TNList, Beijing, China
Hui Zhang 0036 — University of California, Los Angeles, USA
Hui Zhang 0037 — China University of Mining and Technology, School of Electrical and Power Engineering, Xuzhou, China
Hui Zhang 0038 — Henan Polytechnic University, School of Energy Science and Engineering, Jiaozuo, China (and 1 more)
Hui Zhang 0039 — Anhui Normal University, School of Computer and Information, Wuhu, China
Hui Zhang 0040 — Qilu University of Technology, School of Electrical Engineering and Automation, Jinan, China
Hui Zhang 0041 — Renmin University of China, School of Mathematics, Beijing, China (and 1 more)
Hui Zhang 0042 — University of Science and Technology, School of Automation and Electrical Engineering, Beijing, China (and 1 more)
Hui Zhang 0043 — Harbin Institute of Technology, School of Mechatronics Engineering, Harbin, Heilongjiang, China
Hui Zhang 0044 — University of Science and Technology of China, School of Computer Science and Technology, Hefei, China
Hui Zhang 0045 — Guangdong University of Technology, School of Automation, Guangzhou, China
Hui Zhang 0046 — Shandong Jianzhu University, School of Transportation Engineering, Jinan, China
Hui Zhang 0047 — Nanjing University of Posts and Telecommunications, School of Computer Science, Nanjing, China
Hui Zhang 0048 — Anhui Normal University, School of Mathematics and Statistics, Wuhui, China
Hui Zhang 0049 — Beijing University of Technology, Faculty of Information Technology, Beijing Key Laboratory Computational Intelligence and Intelligent System, Beijing, China
Hui Zhang 0050 — National University of Defense Technology, Department of Mathematics, Changsha, China
Hui Zhang 0051 — Zhejiang University, Department of Sport Science, Hangzhou, China
Hui Zhang 0052 — Tsinghua University, TNList, Network Research Center, Institute for Network Sciences and Cyberspace, Beijing, China
Hui Zhang 0053 — National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China (and 1 more)
Hui Zhang 0054 — Shandong University, School of Mathematics, Jinan, China
Hui Zhang 0055 — Southwest University of Science and Technology, School of Science, Mianyang, China
Hui Zhang 0056 — Tencent Research, Beijing, China (and 1 more)
Hui Zhang 0057 — State University of New York at Stony Brook, Department of Electrical and Computer Engineering, Stony Brook, NY, USA
Hui Zhang 0058 — Tsinghua University, Department of Mechanical Engineering, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment and Control, Beijing, China
Hui Zhang 0059 — University of California, Center For The Built Environment, Berkeley, CA, USA
Hui Zhang 0060 — Harbin University of Science and Technology, College of Chemical and Environmental Engineering, Harbin, China
Hui Zhang 0061 — Beijing IrisKing Co., Ltd., Beijing, China (and 4 more)
Hui Zhang 0062 — BNU-HKBU United International College, Department of Computer Science and Technology, Zhuhai, China (and 1 more)
Hui Zhang 0063 — Beijing University of Posts and Telecommunications, Wireless Technologies Innovation Institute, Key Laboratory of Universal Wireless Communication, Beijing, China
Hui Zhang 0064 — Zhejiang University, Laboratory of CAD&CG, Hangzhou, China
Hui Zhang 0065 — Wuhan University of Technology, Intelligent Transportation Systems Research Center, Wuhan, China
Hui Zhang 0066 — Institute for Infocomm Research, A-STAR, Singapore (and 1 more)
Hui Zhang 0067 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, State Key Laboratory of Applied Optics, Changchun, China
Hui Zhang 0068 — Wuhan University, Business School, Finance Department, Wuhan, China
Hui Zhang 0069 — Oregon State University, University Libraries, Corvallis, OR, USA (and 1 more)
Hui Zhang 0070 — Anhui University of Technology, School of Mechanical Engineering, Maanshan, China
Hui Zhang 0071 — Southeast University, School of Information Science and Engineering, State Key Laboratory of Millimeter Waves, Nanjing, China
Hui Zhang 0072 — Dalian Polytechnic University, School of Mechanical Engineering and Automation, Dalian, China
Hui Zhang 0073 — Southeast University, School of Mechanical Engineering, Jiangsu Key Laboratory of Design and Manufacturing of Micro-Nano Biomedical Instruments, Nanjing, China
Hui Zhang 0074 — Tongji University, School of Electronics and Information Engineering, Department of Control Science and Engineering, Robotics and Artificial Intelligence Laboratory, Shanghai, China
Hui Zhang 0075 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China
Hui Zhang 0076 — Sun Yat-sen University, School of Geography and Planning, Guangdong Provincial Key Laboratory of Urbanization and Geo-Simulation, Guangzhou, China
Hui Zhang 0077 — University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
Hui Zhang 0078 — Yantai University, School of Mathematics and Informational Sciences, Yantai, China (and 1 more)
Hui Zhang 0079 — Heilongjiang University, College of Electronics Engineering, Harbin, China
Hui Zhang 0080 — Wuhan University, School of Electrical Engineering and Automation, Wuhan, China
Hui Zhang 0081 — Hubei Engineering University, School of Economics and Management, Xiaogan, China
Hui Zhang 0082 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
Hui Zhang 0083 — Lanzhou Jiaotong University, School of Mechatronic Engineering, Lanzhou, China
Hui Zhang 0084 — Yulin University, School of Information Engineering, Yulin, China
Hui Zhang 0085 — 4Paradigm Inc., China (and 1 more)
Hui Zhang 0086 — Politecnico di Torino, Department of Electronics, Torina, Italy
Hui Zhang 0087 — National University of Singapore, School of Medicine, Alice Lee Centre for Nursing Studies, Singapore
Hui Zhang 0088 — Northwestern University, Feinberg School of Medicine, Chicago, IL, USA (and 1 more)
Hui Zhang 0089 — Communication University of China, School of Data Science and Media Intelligence, Beijing, China
Hui Zhang 0090 — Fudan University, School of Computer Science, Shanghai, China
Hui Zhang 0091 — China Unicom Research Institute, Beijing, China (and 3 more)
Hui Zhang 0092 — University of Hamburg, department of Informatics, Germany (and 3 more)
Hui Zhang 0093 — Samsung Research China-Beijing (SRC-B), Beijing, China (and 1 more)

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2020 – today

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2024
[c44]
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Antoine Legouhy, Ross Callaghan, Whitney Stee, Philippe Peigneux, Hojjat Azadbakht, Hui Zhang:
Eddeep: Fast Eddy-Current Distortion Correction for Diffusion MRI with Deep Learning. MICCAI (2) 2024: 152-161
[i8]
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  - journals/corr/abs-2405-10723
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Antoine Legouhy, Ross Callaghan, Whitney Stee, Philippe Peigneux, Hojjat Azadbakht, Hui Zhang:
Eddeep: Fast eddy-current distortion correction for diffusion MRI with deep learning. CoRR abs/2405.10723 (2024)
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Antoine Legouhy, Ross Callaghan, Hojjat Azadbakht, Hui Zhang:
POLAFFINI: Efficient feature-based polyaffine initialization for improved non-linear image registration. CoRR abs/2407.03922 (2024)
[i6]
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  - journals/corr/abs-2408-11834
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Tianshu Zheng, Zican Wang, Timothy J. P. Bray, Daniel C. Alexander, Dan Wu, Hui Zhang:
SCREENER: A general framework for task-specific experiment design in quantitative MRI. CoRR abs/2408.11834 (2024)
2023
[c43]
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Michele Guerreri, Sean C. Epstein, Hojjat Azadbakht, Hui Zhang:
Resolving Quantitative MRI Model Degeneracy with Machine Learning via Training Data Distribution Design. IPMI 2023: 3-14
[c42]
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Antoine Legouhy, Ross Callaghan, Hojjat Azadbakht, Hui Zhang:
POLAFFINI: Efficient Feature-Based Polyaffine Initialization for Improved Non-linear Image Registration. IPMI 2023: 614-625
[i5]
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  - journals/corr/abs-2303-05464
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Michele Guerreri, Sean C. Epstein, Hojjat Azadbakht, Hui Zhang:
Resolving quantitative MRI model degeneracy with machine learning via training data distribution design. CoRR abs/2303.05464 (2023)
[i4]
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  - journals/corr/abs-2307-07072
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Christopher S. Parker, Anna Schroder, Sean C. Epstein, James Cole, Daniel C. Alexander, Hui Zhang:
Rician likelihood loss for quantitative MRI using self-supervised deep learning. CoRR abs/2307.07072 (2023)
2022
[c41]
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Antoine Legouhy, Mark S. Graham, Michele Guerreri, Whitney Stee, Thomas Villemonteix, Philippe Peigneux, Hui Zhang:
Correction of Susceptibility Distortion in EPI: A Semi-supervised Approach with Deep Learning. CDMRI@MICCAI 2022: 38-49
[c40]
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Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang:
How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? CDMRI@MICCAI 2022: 101-112
[i3]
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  - journals/corr/abs-2205-05587
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Sean C. Epstein, Timothy J. P. Bray, Margaret A. Hall-Craggs, Hui Zhang:
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimation. CoRR abs/2205.05587 (2022)
[i2]
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  - journals/corr/abs-2207-00572
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Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang:
How can spherical CNNs benefit ML-based diffusion MRI parameter estimation? CoRR abs/2207.00572 (2022)
2021
[j40]
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Ioana Hill, Marco Palombo, Mathieu D. Santin, Francesca Branzoli, Anne-Charlotte Philippe, Demian Wassermann, Marie-Stephane Aigrot, Bruno Stankoff, Anne Baron-Van Evercooren, Mehdi Felfli, Dominique Langui, Hui Zhang, Stéphane Lehéricy, Alexandra Petiet, Daniel C. Alexander, Olga Ciccarelli, Ivana Drobnjak:
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 224: 117425 (2021)
[j39]
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  - journals/neuroimage/PalomboIGNASZ21
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Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang:
Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835]. NeuroImage 226: 117612 (2021)
[j38]
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Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan C. Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling:
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021)
[j37]
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Andrada Ianus, Daniel C. Alexander, Hui Zhang, Marco Palombo:
Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage 241: 118424 (2021)
[j36]
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  - journals/neuroimage/KerkelaNCZGSPPZ21
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Leevi Kerkelä, Fabio Nery, Ross Callaghan, Fenglei Zhou, Noemi G. Gyori, Filip Szczepankiewicz, Marco Palombo, Geoff J. M. Parker, Hui Zhang, Matt G. Hall, Chris A. Clark:
Comparative analysis of signal models for microscopic fractional anisotropy estimation using q-space trajectory encoding. NeuroImage 242: 118445 (2021)
[j35]
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  - journals/neuroimage/ParkerVBSMTSCZ21
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Christopher S. Parker, Tom Veale, Martina Bocchetta, C. F. Slattery, Ian B. Malone, David L. Thomas, Jonathan M. Schott, David M. Cash, Hui Zhang:
Not all voxels are created equal: Reducing estimation bias in regional NODDI metrics using tissue-weighted means. NeuroImage 245: 118749 (2021)
2020
[j34]
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Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang:
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage 215: 116835 (2020)
[j33]
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Ross Callaghan, Daniel C. Alexander, Marco Palombo, Hui Zhang:
ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage 220: 117107 (2020)

2010 – 2019

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2019
[j32]
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  - journals/neuroimage/BatalleOMKDHHZA19
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Dafnis Batalle, Jonathan O'Muircheartaigh, Antonios Makropoulos, Christopher J. Kelly, Ralica Dimitrova, Emer J. Hughes, Joseph V. Hajnal, Hui Zhang, Daniel C. Alexander, A. David Edwards, Serena J. Counsell:
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. NeuroImage 185: 764-775 (2019)
[j31]
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Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage 188: 391-402 (2019)
[c39]
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Ross Callaghan, Daniel C. Alexander, Hui Zhang, Marco Palombo:
Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation. IPMI 2019: 429-440
2018
[j30]
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  - journals/neuroimage/Alfaro-AlmagroJ18
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Fidel Alfaro-Almagro, Mark Jenkinson, Neal K. Bangerter, Jesper L. R. Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N. Sotiropoulos, Saâd Jbabdi, Moisés Hernández-Fernández, Emmanuel Vallée, Diego Vidaurre, Matthew A. Webster, Paul McCarthy, Christopher Rorden, Alessandro Daducci, Daniel C. Alexander, Hui Zhang, Iulius Dragonu, Paul M. Matthews, Karla L. Miller, Stephen M. Smith:
Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank. NeuroImage 166: 400-424 (2018)
[j29]
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Jesper L. R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang, Jon Campbell:
Susceptibility-induced distortion that varies due to motion: Correction in diffusion MR without acquiring additional data. NeuroImage 171: 277-295 (2018)
[j28]
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Mark S. Graham, Ivana Drobnjak, Hui Zhang:
A supervised learning approach for diffusion MRI quality control with minimal training data. NeuroImage 178: 668-676 (2018)
[j27]
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Woojin Jung, Jin-Gu Lee, Hyeong-Geol Shin, Yoonho Nam, Hui Zhang, Se-Hong Oh, Jongho Lee:
Whole brain g-ratio mapping using myelin water imaging (MWI) and neurite orientation dispersion and density imaging (NODDI). NeuroImage 182: 379-388 (2018)
[j26]
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Hikaru Fukutomi, Matthew F. Glasser, Hui Zhang, Joonas A. A. Autio, Timothy S. Coalson, Tomohisa Okada, Kaori Togashi, David C. Van Essen, Takuya Hayashi:
Neurite imaging reveals microstructural variations in human cerebral cortical gray matter. NeuroImage 182: 488-499 (2018)
[i1]
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  - journals/corr/abs-1806-07125
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Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal. CoRR abs/1806.07125 (2018)
2017
[j25]
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Dafnis Batalle, Emer J. Hughes, Hui Zhang, Jacques-Donald Tournier, Nora Tusor, Paul Aljabar, Luqman Wali, Daniel C. Alexander, Joseph V. Hajnal, Chiara Nosarti, A. David Edwards, Serena J. Counsell:
Early development of structural networks and the impact of prematurity on brain connectivity. NeuroImage 149: 379-392 (2017)
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Daniel C. Alexander, Darko Zikic, Aurobrata Ghosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dyrby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi:
Image quality transfer and applications in diffusion MRI. NeuroImage 152: 283-298 (2017)
[j23]
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Jesper L. R. Andersson, Mark S. Graham, Ivana Drobnjak, Hui Zhang, Nicola Filippini, Matteo Bastiani:
Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement. NeuroImage 152: 450-466 (2017)
[j22]
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Diliana Pecheva, Paul A. Yushkevich, Dafnis Batalle, Emer J. Hughes, Paul Aljabar, Julia Wurie, Joseph V. Hajnal, A. David Edwards, Daniel C. Alexander, Serena J. Counsell, Hui Zhang:
A tract-specific approach to assessing white matter in preterm infants. NeuroImage 157: 675-694 (2017)
[j21]
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Matteo Bastiani, Michiel Cottaar, Krikor Dikranian, Aurobrata Ghosh, Hui Zhang, Daniel C. Alexander, Tim E. J. Behrens, Saâd Jbabdi, Stamatios N. Sotiropoulos:
Improved tractography using asymmetric fibre orientation distributions. NeuroImage 158: 205-218 (2017)
2016
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Niall Colgan, Bernard Siow, James M. O'Callaghan, Ian F. Harrison, Jack A. Wells, Holly E. Holmes, Ozama Ismail, Simon Richardson, Daniel C. Alexander, Emily C. Collins, Elizabeth M. C. Fisher, Ross A. Johnson, Adam J. Schwarz, Zeshan Ahmed, Michael J. O'Neill, Tracey K. Murray, Hui Zhang, Mark F. Lythgoe:
Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease. NeuroImage 125: 739-744 (2016)
[j19]
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Mark S. Graham, Ivana Drobnjak, Hui Zhang:
Realistic simulation of artefacts in diffusion MRI for validating post-processing correction techniques. NeuroImage 125: 1079-1094 (2016)
[j18]
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Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang:
Bingham-NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI. NeuroImage 133: 207-223 (2016)
2015
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Alessandro Daducci, Erick Jorge Canales-Rodríguez, Hui Zhang, Tim B. Dyrby, Daniel C. Alexander, Jean-Philippe Thiran:
Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data. NeuroImage 105: 32-44 (2015)
[j16]
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Francesco Grussu, Torben Schneider, Hui Zhang, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott:
Neurite orientation dispersion and density imaging of the healthy cervical spinal cord in vivo. NeuroImage 111: 590-601 (2015)
[j15]
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Uran Ferizi, Torben Schneider, Thomas Witzel, Lawrence L. Wald, Hui Zhang, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
White matter compartment models for in vivo diffusion MRI at 300 mT/m. NeuroImage 118: 468-483 (2015)
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Mark S. Graham, Ivana Drobnjak, Hui Zhang:
A Simulation Framework for Quantitative Validation of Artefact Correction in Diffusion MRI. IPMI 2015: 638-649
2014
[j14]
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Nicolas Kunz, Hui Zhang, Lana Vasung, Kieran O'Brien, Yaniv Assaf, François Lazeyras, Daniel C. Alexander, Petra S. Hüppi:
Assessing white matter microstructure of the newborn with multi-shell diffusion MRI and biophysical compartment models. NeuroImage 96: 288-299 (2014)
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Daniel C. Alexander, Darko Zikic, Jiaying Zhang, Hui Zhang, Antonio Criminisi:
Image Quality Transfer via Random Forest Regression: Applications in Diffusion MRI. MICCAI (3) 2014: 225-232
[c36]
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Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang:
In vivo Estimation of Dispersion Anisotropy of Neurites Using Diffusion MRI. MICCAI (3) 2014: 241-248
2013
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Shiva Keihaninejad, Hui Zhang, Natalie S. Ryan, Ian B. Malone, Marc Modat, Manuel Jorge Cardoso, David M. Cash, Nick C. Fox, Sébastien Ourselin:
An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease. NeuroImage 72: 153-163 (2013)
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Paul A. Yushkevich, Hui Gary Zhang:
Deformable Modeling Using a 3D Boundary Representation with Quadratic Constraints on the Branching Structure of the Blum Skeleton. IPMI 2013: 280-291
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Matthew C. Rowe, Hui Gary Zhang, Neil Oxtoby, Daniel C. Alexander:
Beyond Crossing Fibers: Tractography Exploiting Sub-voxel Fibre Dispersion and Neighbourhood Structure. IPMI 2013: 402-413
[c33]
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Uran Ferizi, Torben Schneider, Eleftheria Panagiotaki, Gemma L. Nedjati-Gilani, Hui Gary Zhang, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
Ranking diffusion-MRI models with in-vivo human brain data. ISBI 2013: 676-679
[c32]
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Mark Lyksborg, Tim Bjørn Dyrby, Per Soelberg Sørensen, Morten Blinkenberg, Hartwig Roman Siebner, Daniel C. Alexander, Rasmus Larsen, Hui Zhang:
Tract-oriented statistical group comparison of diffusion in sheet-like white matter. ISBI 2013: 1288-1291
[c31]
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Alexandra Tobisch, Peter F. Neher, Matthew C. Rowe, Klaus H. Maier-Hein, Hui Zhang:
Model-Based Super-Resolution of Diffusion MRI. CDMRI/MMBC@MICCAI 2013: 25-34
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Holger Roth, Jamie McClelland, Thomas Hampshire, Darren Boone, Yipeng Hu, Marc Modat, Hui Zhang, Sébastien Ourselin, Steve Halligan, David J. Hawkes:
Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension. Abdominal Imaging 2013: 29-38
[c29]
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Uran Ferizi, Torben Schneider, Maira Tariq, Claudia A. M. Wheeler-Kingshott, Hui Gary Zhang, Daniel C. Alexander:
The Importance of Being Dispersed: A Ranking of Diffusion MRI Models for Fibre Dispersion Using In Vivo Human Brain Data. MICCAI (1) 2013: 74-81
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Nagesh Adluru, Hui Zhang, Do P. M. Tromp, Andrew L. Alexander:
Effects of DTI spatial normalization on white matter tract reconstructions. Medical Imaging: Image Processing 2013: 86690A
2012
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Nagesh Adluru, Hui Zhang, Andrew S. Fox, Steven E. Shelton, Chad M. Ennis, Anne M. Bartosic, Jonathan A. Oler, Do P. M. Tromp, Elizabeth Zakszewski, James C. Gee, Ned H. Kalin, Andrew L. Alexander:
A diffusion tensor brain template for Rhesus Macaques. NeuroImage 59(1): 306-318 (2012)
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Hui Zhang, Torben Schneider, Claudia A. M. Wheeler-Kingshott, Daniel C. Alexander:
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain. NeuroImage 61(4): 1000-1016 (2012)
2011
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Yi Wang, Aditya Gupta, Zhexing Liu, Hui Zhang, Maria L. Escolar, John H. Gilmore, Sylvain Gouttard, Pierre Fillard, Eric A. Maltbie, Guido Gerig, Martin Styner:
DTI registration in atlas based fiber analysis of infantile Krabbe disease. NeuroImage 55(4): 1577-1586 (2011)
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Hui Zhang, Penny L. Hubbard, Geoffrey J. M. Parker, Daniel C. Alexander:
Axon diameter mapping in the presence of orientation dispersion with diffusion MRI. NeuroImage 56(3): 1301-1315 (2011)
[c27]
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Hui Zhang, Tim B. Dyrby, Daniel C. Alexander:
Axon Diameter Mapping in Crossing Fibers with Diffusion MRI. MICCAI (2) 2011: 82-89
[c26]
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Gemma Louise Morgan, Hui Zhang, Brandon J. Whitcher, Daniel C. Alexander:
A Bayesian framework for modelling the regional variation of white matter microstructure. MIUA 2011: 93-98
2010
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Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich:
A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features. Medical Image Anal. 14(5): 666-673 (2010)
[c25]
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Eleftheria Panagiotaki, Matt G. Hall, Hui Zhang, Bernard Siow, Mark F. Lythgoe, Daniel C. Alexander:
High-Fidelity Meshes from Tissue Samples for Diffusion MRI Simulations. MICCAI (2) 2010: 404-411
[c24]
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Hui Zhang, Daniel C. Alexander:
Axon Diameter Mapping in the Presence of Orientation Dispersion with Diffusion MRI. MICCAI (1) 2010: 640-647
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Hui Zhang, Paul A. Yushkevich, Daniel Rueckert, James C. Gee:
A Computational White Matter Atlas for Aging with Surface-Based Representation of Fasciculi. WBIR 2010: 83-90

2000 – 2009

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What is the meaning of the colors in the publication lists?

2009
[c22]
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Hui Zhang, Suyash P. Awate, Sandhitsu R. Das, John H. Woo, Elias R. Melhem, James C. Gee, Paul A. Yushkevich:
A Tract-Specific Framework for White Matter Morphometry Combining Macroscopic and Microscopic Tract Features. MICCAI (1) 2009: 141-149
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Hui Zhang, Paul A. Yushkevich, Daniel Rueckert, James C. Gee:
Tensor-Based Morphometry of Fibrous Structures with Application to Human Brain White Matter. MICCAI (1) 2009: 466-473
2008
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Paul A. Yushkevich, Hui Zhang, Tony J. Simon, James C. Gee:
Structure-specific statistical mapping of white matter tracts. NeuroImage 41(2): 448-461 (2008)
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Jeffrey T. Duda, Brian B. Avants, Junghoon Kim, Hui Zhang, Sunil Patel, John Whyte, James C. Gee:
Multivariate analysis of thalamo-cortical connectivity loss in TBI. CVPR Workshops 2008: 1-8
[c19]
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Alonso Ramirez-Manzanares, Hui Zhang, Mariano Rivera, James C. Gee:
Robust regularization for the estimation of intra-voxel axon fiber orientations. CVPR Workshops 2008: 1-8
[c18]
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Suyash P. Awate, Hui Zhang, Tony J. Simon, James C. Gee:
Multivariate segmentation of brain tissues by fusion of MRI and DTI data. ISBI 2008: 213-216
[c17]
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Hui Zhang, Paul A. Yushkevich, Tony J. Simon, James C. Gee:
Surface-based modeling of white matter fasciculi with orientation encoding. ISBI 2008: 708-711
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Philip A. Cook, Hui Zhang, Suyash P. Awate, James C. Gee:
Atlas-guided probabilistic diffusion-tensor fiber tractography. ISBI 2008: 951-954
2007
[j6]
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Paul A. Yushkevich, John A. Detre, Dawn Mechanic-Hamilton, María A. Fernández-Seara, Kathy Z. Tang, Angela Hoang, Marc Korczykowski, Hui Zhang, James C. Gee:
Hippocampus-specific fMRI group activation analysis using the continuous medial representation. NeuroImage 35(4): 1516-1530 (2007)
[j5]
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Hui Sun, Paul A. Yushkevich, Hui Zhang, Philip A. Cook, Jeffrey T. Duda, Tony J. Simon, James C. Gee:
Shape-Based Normalization of the Corpus Callosum for DTI Connectivity Analysis. IEEE Trans. Medical Imaging 26(9): 1166-1178 (2007)
[j4]
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Suyash P. Awate, Hui Zhang, James C. Gee:
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis: With Applications to DTI-Tract Extraction. IEEE Trans. Medical Imaging 26(11): 1525-1536 (2007)
[j3]
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Hui Zhang, Brian B. Avants, Paul A. Yushkevich, John H. Woo, Sumei Wang, L. F. McCluskey, L. B. Elman, Elias R. Melhem, James C. Gee:
High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral Sclerosis. IEEE Trans. Medical Imaging 26(11): 1585-1597 (2007)
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Paul A. Yushkevich, Hui Zhang, Tony J. Simon, James C. Gee:
Structure-Specific Statistical Mapping of White Matter Tracts using the Continuous Medial Representation. ICCV 2007: 1-8
[c14]
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Hui Zhang, Paul A. Yushkevich, Daniel Rueckert, James C. Gee:
Unbiased White Matter Atlas Construction Using Diffusion Tensor Images. MICCAI (2) 2007: 211-218
[c13]
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Suyash P. Awate, Hui Zhang, James C. Gee:
Fuzzy Nonparametric DTI Segmentation for Robust Cingulum-Tract Extraction. MICCAI (1) 2007: 294-301
[c12]
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Brian B. Avants, Jeffrey T. Duda, Hui Zhang, James C. Gee:
Multivariate Normalization with Symmetric Diffeomorphisms for Multivariate Studies. MICCAI (1) 2007: 359-366
[c11]
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Hui Sun, Paul A. Yushkevich, Hui Zhang, Philip A. Cook, Jeffrey T. Duda, Tony J. Simon, James C. Gee:
Evaluation of Shape-Based Normalization in the Corpus Callosum for White Matter Connectivity Analysis. MICCAI (2) 2007: 777-784
2006
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Hui Zhang, Paul A. Yushkevich, Daniel C. Alexander, James C. Gee:
Deformable registration of diffusion tensor MR images with explicit orientation optimization. Medical Image Anal. 10(5): 764-785 (2006)
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Paul A. Yushkevich, Hui Zhang, James C. Gee:
Continuous Medial Representation for Anatomical Structures. IEEE Trans. Medical Imaging 25(12): 1547-1564 (2006)
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Hui Sun, Paul A. Yushkevich, Hui Zhang, James C. Gee, Tony J. Simon:
Efficient Generation of Shape-Based Reference Frames for the Corpus Callosum for DTI-based Connectivity Analysis. CVPR Workshops 2006: 87
[c9]
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Paul A. Yushkevich, John A. Detre, Kathy Z. Tang, Angela Hoang, Dawn Mechanic-Hamilton, María A. Fernández-Seara, Marc Korczykowski, Hui Zhang, James C. Gee:
Hippocampus-Specific fMRI Group Activation Analysis with Continuous M-Reps. MICCAI (2) 2006: 284-291
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Paul A. Yushkevich, Brian B. Avants, Lydia Ng, Michael Hawrylycz, Pablo D. Burstein, Hui Zhang, James C. Gee:
3D Mouse Brain Reconstruction from Histology Using a Coarse-to-Fine Approach. WBIR 2006: 230-237
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James C. Gee, Hui Zhang, Abraham Dubb, Brian B. Avants, Paul A. Yushkevich, Jeffrey T. Duda:
Anatomy-Based Visualizations of Diffusion Tensor Images of Brain White Matter. Visualization and Processing of Tensor Fields 2006: 155-163
2005
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Paul A. Yushkevich, Hui Zhang, James C. Gee:
Parametric Medial Shape Representation in 3-D via the Poisson Partial Differential Equation with Non-linear Boundary Conditions. IPMI 2005: 162-173
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Philip A. Cook, Hui Zhang, Brian B. Avants, Paul A. Yushkevich, Daniel C. Alexander, James C. Gee, Olga Ciccarelli, Alan J. Thompson:
An Automated Approach to Connectivity-Based Partitioning of Brain Structures. MICCAI 2005: 164-171
[c5]
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Hui Zhang, Paul A. Yushkevich, James C. Gee:
Deformable Registration of Diffusion Tensor MR Images with Explicit Orientation Optimization. MICCAI 2005: 172-179
[c4]
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Paul A. Yushkevich, Hui Zhang, James C. Gee:
Statistical Modeling of Shape and Appearance Using the Continuous Medial Representation. MICCAI (2) 2005: 725-732
2004
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Hui Zhang, Paul A. Yushkevich, James C. Gee:
Registration of Diffusion Tensor Images. CVPR (1) 2004: 842-847
[c2]
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Hui Zhang, Paul A. Yushkevich, James C. Gee:
Towards Diffusion Profile Image Registration. ISBI 2004: 324-327
2003
[c1]
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Punam K. Saha, Hui Zhang, Jayaram K. Udupa, James C. Gee:
Tensor scale-based image registration. Medical Imaging: Image Processing 2003

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