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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Blog Post number 1
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portfolio
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publications
Accelerated convolutional operator learning
Published in Preprint, 2019
This paper is about the accelerating the CDL and CAOL
Recommended citation: Xiyu Zhang*, Haowei Xiang*, Il Yong Chun, Mert Pilanci, and Jeffrey A. Fessler, Preprint
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SPECT/CT scatter estimation using a deep convolutional neural network: implementation in Y-90 imaging
Published in 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)., 2019
Recommended citation: Xiang, Haowei, et al. "SPECT/CT scatter estimation using a deep convolutional neural network: implementation in Y-90 imaging." 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE, 2019.
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A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions
Published in European journal of nuclear medicine and molecular imaging, 2020
Recommended citation: Xiang, Haowei, et al. "A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions." European journal of nuclear medicine and molecular imaging 47 (2020): 2956-2967.
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Model-based Image Reconstruction in Looping-star MRI
Published in ISMRM, 2022
Recommended citation: Xiang, Haowei, Jeffrey A. Fessler, and Douglas C. Noll. "Model-based Image Reconstruction in Looping-star MRI." 2022 ISMRM
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Spatial-temporal reconstruction using UNFOLD in looping-star silent fMRI
Published in ISMRM, 2023
Recommended citation: Xiang, Haowei, Jeìrey A. Fessler, and Douglas C. Noll. "Spatial-temporal reconstructionusing UNFOLD in looping-star silent fMRI." Proceedings of the 32th Annual Meeting of the ISMRM. Vol. 2534. 2023.
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Model‐based reconstruction for looping‐star MRI
Published in MRM, 2024
Recommended citation: Xiang, Haowei, Jeffrey A. Fessler, and Douglas C. Noll. "Model‐based reconstruction for looping‐star MRI." Magnetic Resonance in Medicine (2024).
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Joint optimization of multi-echo reconstruction and quantitative map estimation in Looping Star
Published in ISMRM, 2024
Recommended citation: H. Xiang, I. K. Onder, A. H. Mehta, J. A. Fessler, and D. C. Noll. “Joint optimization of multi-echo reconstruction and quantitative map estimation in Looping Star”. In: Proceedings of the 33th Annual Meeting of the ISMRM. Vol. 0630. 2024
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talks
teaching
Teaching Assistant
Graduate Course: Matrix Methods for Signal Processing, Data Analysis and Machine Learning, University of Michigan, EECS, 2020
Teaching Assistant
Graduate Course: Medical Imaging Systems, University of Michigan, EECS, 2022
Teaching Assistant
Graduate course: EECS501 Probability and Random Process, University of Michigan, EECS, 2023