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ORCIDChi Zhang 0057
Person information
- affiliation: University of Minnesota, Center for Magnetic Resonance Research, Minneapolis, MN, USA
Other persons with the same name
- Chi Zhang — disambiguation page
- Chi Zhang 0001
![[0000-0002-6528-1427]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6528-1427")
— University of Science and Technology of China, School of Information Science and Technology, Hefei, China (and 1 more) - Chi Zhang 0002 — Dalian University of Technology, Dalian, China (and 1 more)
- Chi Zhang 0003 — Hokkaido University, Laboratory of Vehicle Robotics, Graduate School of Agriculture, Sapporo, Japan
- Chi Zhang 0004 — China University of Geosciences, Beijing, China
- Chi Zhang 0005 — Beijing University of Technology, School of Economics and Management, China (and 2 more)
- Chi Zhang 0006 — Prismo Systems, Santa Clara, CA, USA (and 2 more)
- Chi Zhang 0007 — Nanyang Technological University, Interdisciplinary Graduate School, Singapore
- Chi Zhang 0008 — China National Digital Switching System Engineering and Technological Research Center, Zhengzhou, China
- Chi Zhang 0009 — Experian DataLabs, San Diego, CA, USA (and 1 more)
- Chi Zhang 0010 — Peking University, College of Chemistry and Molecular Engineering, Beijing, China
- Chi Zhang 0011 — Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, Urumqi, China (and 1 more)
- Chi Zhang 0012 — JD.com Silicon Valley Research Center, Mountain View, CA, USA
- Chi Zhang 0013 — University of Nebraska-Lincoln, School of Biological Sciences, Lincoln, NE, USA
- Chi Zhang 0014 — Chinese Academy of Sciences, Ningbo Institute of Materials Technology and Engineering, Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology and Engineering, China (and 1 more)
- Chi Zhang 0015 — Jiangxi University of Finance and Economics, Software School, Nanchang, China
- Chi Zhang 0016 — University of California, Los Angeles, CA, USA
- Chi Zhang 0017 — University of California, Los Angeles, CA, USA (and 1 more)
- Chi Zhang 0018 — University of California at San Diego, San Diego, USA (and 1 more)
- Chi Zhang 0019 — Beijing University of Posts and Telecommunications, School of Computer Science, China
- Chi Zhang 0020 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, China
- Chi Zhang 0021 — Indiana University School of Medicine, Indianapolis, IN, USA (and 1 more)
- Chi Zhang 0022 — University of Southern California, Computer Science Department, Los Angeles, CA, USA
- Chi Zhang 0023 — Rochester Institute of Technology, NY, USA
- Chi Zhang 0024 — Technical University of Munich, Chair of Aerodynamics and Fluid Mechanics, Germany
- Chi Zhang 0025 — Beijing University of Posts and Telecommunications, Wireless Theories and Technologies Lab, China
- Chi Zhang 0026 — Megvii Technology, Beijing Research Institute, China
- Chi Zhang 0027 — Jiangxi University of Finance and Economics, School of Information Technology, Nanchang, China
- Chi Zhang 0028 — Kennesaw State University, Marietta, GA, USA
- Chi Zhang 0029 — University of Electronic Science and Technology of China, State Key Laboratory of Electronic Thin Films and Integrated Devices, Chengdu, China
- Chi Zhang 0030 — Hitachi America Ltd., Industrial AI Lab, Santa Clara, CA, USA
- Chi Zhang 0031 — University of Tennessee, Department of Electrical Engineering and Computer Science, Knoxville, TN, USA (and 1 more)
- Chi Zhang 0032 — Chinese Academy of Sciences, Institute of Automation, Research Center of Precision Sensing and Control, Beijing, China (and 1 more)
- Chi Zhang 0033 — Chinese Academy of Sciences, Institute of Vertebrate Paleontology and Paleoanthropology, Beijing, China
- Chi Zhang 0034 — University of Edinburgh, UK (and 1 more)
- Chi Zhang 0035 — Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Chi Zhang 0036 — Shenzhen University, College of Economics, China
- Chi Zhang 0037 — Nantong University, College of Geographic Science, China (and 1 more)
- Chi Zhang 0038 — Ohio State University, Department of Civil Environmental and Geodetic Engineering, Columbus, OH, USA
- Chi Zhang 0039 — Chongqing University, State Key Laboratory of Power Transmission Equipment & System Security and New Technology, China
- Chi Zhang 0040 — University of Gothenburg, Sweden (and 1 more)
- Chi Zhang 0041 — Google, Mountain View, CA, USA (and 1 more)
- Chi Zhang 0042 — University of Bath, Department of Electronic and Electrical Engineering, UK
- Chi Zhang 0043 — University of Science and Technology of China, LINKE Lab / CAS Key Laboratory of Wireless-Optical Communications, Hefei, China
- Chi Zhang 0044 — University of Science and Technology of China, National Engineering Laboratory for Brain-inspired Intelligence Technology and Application, Hefei, China
- Chi Zhang 0045 — National University of Defense and Technology, College of Electronic Science, Changsha, China
- Chi Zhang 0046 — Jiangsu University, School of Computer Science and Communication Engineering, Zhenjiang, China
- Chi Zhang 0047 — Harbin Engineering University, College of Information and Communication Engineering, China
- Chi Zhang 0048 — Zhengzhou University, School of Management Engineering, China
- Chi Zhang 0049 — Peking University, Academy for Advanced Interdisciplinary Studies, Beijing, China
- Chi Zhang 0050 — Southeast University, School of Electrical Engineering, Nanjing, China
- Chi Zhang 0051 — University of Oslo, Department of Biostatistics, Domus Medica, Norway
- Chi Zhang 0052 — Nanjing University of Posts and Telecommunications, School of Economics, China
- Chi Zhang 0053 — Shanghai Customs College, Graduate School, China
- Chi Zhang 0054 — Dalian University of Technology, School of Software Technology, China
- Chi Zhang 0055 — COMAC Beijing Aircraft Technology Research Institute, China
- Chi Zhang 0056 — Xidian University, National Key Laboratory of Antennas and Microwave Technology, Xi'an, China
- Chi Zhang 0058 — Bournemouth University, UK
- Chi Zhang 0059 — Columbia University, USA
- Chi Zhang 0060 — Harbin Engineering University, Harbin, China
- Chi Zhang 0061 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, China
- Chi Zhang 0062 — Guangxi University, School of Mechanical Engineering, Center on Nanoenergy Research, School of Physical Science and Technology, China (and 1 more)
- Chi Zhang 0063 — Beijing Institute of Technology, Beijing Laboratory of Intelligent Information Technology, School of Computer Science, China (and 2 more)
- Chi Zhang 0064 — Nanyang Technological University, School of Computer Engineering, Singapore
- Chi Zhang 0065 — Boston University, USA
- Chi Zhang 0066 — University of Science and Technology Beijing, School of Automation and Electrical Engineering, China
- Chi Zhang 0067 — Tencent PCG, China
- Chi Zhang 0068 — Keebo, Inc., Ann Arbor, MI, USA (and 1 more)
- Chi Zhang 0069 — Xiaomi Technology, Beijing, China (and 1 more)
- Chi Zhang 0070 — Princeton University, Department of Computer Science, NJ, USA
- Chi Zhang 0071 — Purdue University, Lafayette, IN, USA (and 2 more)
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2020 – today
- 2024
[c11]Chi Zhang, Mehmet Akçakaya:
Uncertainty-Guided Physics-Driven Deep Learning Reconstruction via Cyclic Measurement Consistency. ICASSP 2024: 13441-13445- [c10]Hongyi Gu, Chi Zhang, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya:
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI. ISBI 2024: 1-5 - [c9]Chi Zhang, Omer Burak Demirel, Mehmet Akçakaya:
Cycle-Consistent Self-Supervised Learning for Improved Highly-Accelerated MRI Reconstruction. ISBI 2024: 1-5 - 2023
- [c8]Ömer Burak Demirel, Chi Zhang, Burhaneddin Yaman, Merve Gülle, Chetan Shenoy, Tim Leiner, Peter Kellman, Mehmet Akçakaya:
High-fidelity Database-free Deep Learning Reconstruction for Real-time Cine Cardiac MRI. EMBC 2023: 1-4 - [i3]Hongyi Gu, Chi Zhang, Zidan Yu, Christoph Rettenmeier, V. Andrew Stenger, Mehmet Akçakaya:
Non-Cartesian Self-Supervised Physics-Driven Deep Learning Reconstruction for Highly-Accelerated Multi-Echo Spiral fMRI. CoRR abs/2312.05707 (2023) - 2022
- [j2]Chi Zhang, Steen Moeller, Omer Burak Demirel, Kâmil Ugurbil, Mehmet Akçakaya:
Residual RAKI: A hybrid linear and non-linear approach for scan-specific k-space deep learning. NeuroImage 256: 119248 (2022) - [c7]Chi Zhang, Davide Piccini, Ömer Burak Demirel, Gabriele Bonanno, Burhaneddin Yaman, Matthias Stuber, Steen Moeller, Mehmet Akçakaya:
Distributed Memory-Efficient Physics-Guided Deep Learning Reconstruction for Large-Scale 3d Non-Cartesian MRI. ISBI 2022: 1-5 - 2021
- [c6]Zilin Deng, Burhaneddin Yaman, Chi Zhang, Steen Moeller, Mehmet Akçakaya:
Efficient Training of 3D Unrolled Neural Networks for MRI Reconstruction Using Small Databases. ACSCC 2021: 886-889 - [c5]Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya:
Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations. ACSCC 2021: 895-899 - [i2]Chi Zhang, Jinghan Jia, Burhaneddin Yaman, Steen Moeller, Sijia Liu, Mingyi Hong, Mehmet Akçakaya:
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations. CoRR abs/2102.13066 (2021) - 2020
- [j1]Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya:
Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues. IEEE Signal Process. Mag. 37(1): 128-140 (2020) - [c4]Seyed Amir Hossein Hosseini, Burhaneddin Yaman, Chi Zhang, Kâmil Ugurbil, Steen Moeller, Mehmet Akçakaya:
Scan-Specific Accelerated Mri Reconstruction Using Recurrent Neural Networks In A Regularized Self-Consistent Framework. ISBI Workshops 2020: 1-4
2010 – 2019
- 2019
- [c3]Chi Zhang, Seyed Amir Hossein Hosseini, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya:
Scan-Specific Residual Convolutional Neural Networks for Fast MRI Using Residual RAKI. ACSSC 2019: 1476-1480 - [i1]Florian Knoll, Kerstin Hammernik, Chi Zhang, Steen Moeller, Thomas Pock, Daniel K. Sodickson, Mehmet Akçakaya:
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction. CoRR abs/1904.01112 (2019) - 2018
- [c2]Chi Zhang, Steen Moeller, Sebastian Weingärtner, Kâmil Ugurbil, Mehmet Akçakaya:
Accelerated Simultaneous Multi-Slice MRI using Subject-Specific Convolutional Neural Networks. ACSSC 2018: 1636-1640 - [c1]Chi Zhang, Sebastian Weingärtner, Steen Moeller, Kâmil Ugurbil, Mehmet Akçakaya:
Fast GPU Implementation of a Scan-Specific Deep Learning Reconstruction for Accelerated Magnetic Resonance Imaging. EIT 2018: 399-403
Coauthor Index
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