Search Results - "Tian, Qiyuan"

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  1. 1

    Learning the Image Processing Pipeline by Haomiao Jiang, Qiyuan Tian, Farrell, Joyce, Wandell, Brian A.

    Published in IEEE transactions on image processing (01-10-2017)
    “…Many creative ideas are being proposed for image sensor designs, and these may be useful in applications ranging from consumer photography to computer vision…”
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    Journal Article
  2. 2

    Double diffusion encoding MRI for the clinic by Yang, Grant, Tian, Qiyuan, Leuze, Christoph, Wintermark, Max, McNab, Jennifer A.

    Published in Magnetic resonance in medicine (01-08-2018)
    “…Purpose The purpose of this study is to develop double diffusion encoding (DDE) MRI methods for clinical use. Microscopic diffusion anisotropy measurements…”
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  3. 3

    Resting-state “physiological networks” by Chen, Jingyuan E., Lewis, Laura D., Chang, Catie, Tian, Qiyuan, Fultz, Nina E., Ohringer, Ned A., Rosen, Bruce R., Polimeni, Jonathan R.

    Published in NeuroImage (Orlando, Fla.) (01-06-2020)
    “…Slow changes in systemic brain physiology can elicit large fluctuations in fMRI time series, which manifest as structured spatial patterns of temporal…”
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  4. 4

    DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning by Tian, Qiyuan, Bilgic, Berkin, Fan, Qiuyun, Liao, Congyu, Ngamsombat, Chanon, Hu, Yuxin, Witzel, Thomas, Setsompop, Kawin, Polimeni, Jonathan R., Huang, Susie Y.

    Published in NeuroImage (Orlando, Fla.) (01-10-2020)
    “…Diffusion tensor magnetic resonance imaging (DTI) is unsurpassed in its ability to map tissue microstructure and structural connectivity in the living human…”
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  5. 5

    Bundle-specific tractogram distribution estimation using higher-order streamline differential equation by Feng, Yuanjing, Xie, Lei, Wang, Jingqiang, Tian, Qiyuan, He, Jianzhong, Zeng, Qingrun, Gao, Fei

    Published in NeuroImage (Orlando, Fla.) (01-09-2024)
    “…Streamline tractography locally traces peak directions extracted from fiber orientation distribution (FOD) functions, lacking global information about the…”
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  6. 6

    Wiring and Molecular Features of Prefrontal Ensembles Representing Distinct Experiences by Ye, Li, Allen, William E., Thompson, Kimberly R., Tian, Qiyuan, Hsueh, Brian, Ramakrishnan, Charu, Wang, Ai-Chi, Jennings, Joshua H., Adhikari, Avishek, Halpern, Casey H., Witten, Ilana B., Barth, Alison L., Luo, Liqun, McNab, Jennifer A., Deisseroth, Karl

    Published in Cell (16-06-2016)
    “…A major challenge in understanding the cellular diversity of the brain has been linking activity during behavior with standard cellular typology. For example,…”
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  7. 7

    Multimodal image registration and connectivity analysis for integration of connectomic data from microscopy to MRI by Goubran, Maged, Leuze, Christoph, Hsueh, Brian, Aswendt, Markus, Ye, Li, Tian, Qiyuan, Cheng, Michelle Y., Crow, Ailey, Steinberg, Gary K., McNab, Jennifer A., Deisseroth, Karl, Zeineh, Michael

    Published in Nature communications (03-12-2019)
    “…3D histology, slice-based connectivity atlases, and diffusion MRI are common techniques to map brain wiring. While there are many modality-specific tools to…”
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    SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI by Tian, Qiyuan, Li, Ziyu, Fan, Qiuyun, Polimeni, Jonathan R., Bilgic, Berkin, Salat, David H., Huang, Susie Y.

    Published in NeuroImage (Orlando, Fla.) (01-06-2022)
    “…Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white…”
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  10. 10

    Dissecting whole-brain conduction delays through MRI microstructural measures by Mancini, Matteo, Tian, Qiyuan, Fan, Qiuyun, Cercignani, Mara, Huang, Susie Y.

    Published in Brain Structure and Function (01-11-2021)
    “…Network models based on structural connectivity have been increasingly used as the blueprint for large-scale simulations of the human brain. As the nodes of…”
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  11. 11

    Axon diameter index estimation independent of fiber orientation distribution using high-gradient diffusion MRI by Fan, Qiuyun, Nummenmaa, Aapo, Witzel, Thomas, Ohringer, Ned, Tian, Qiyuan, Setsompop, Kawin, Klawiter, Eric C., Rosen, Bruce R., Wald, Lawrence L., Huang, Susie Y.

    Published in NeuroImage (Orlando, Fla.) (15-11-2020)
    “…Axon diameter mapping using high-gradient diffusion MRI has generated great interest as a noninvasive tool for studying trends in axonal size in the human…”
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  12. 12
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    Improved cortical surface reconstruction using sub-millimeter resolution MPRAGE by image denoising by Tian, Qiyuan, Zaretskaya, Natalia, Fan, Qiuyun, Ngamsombat, Chanon, Bilgic, Berkin, Polimeni, Jonathan R., Huang, Susie Y.

    Published in NeuroImage (Orlando, Fla.) (01-06-2021)
    “…•Denoised sub-millimeter isotropic MPRAGE images using DnCNN, BM4D and AONLM.•Systematically quantified image and cortical surface quality improvement by…”
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  14. 14

    Highly accelerated multishot echo planar imaging through synergistic machine learning and joint reconstruction by Bilgic, Berkin, Chatnuntawech, Itthi, Manhard, Mary Kate, Tian, Qiyuan, Liao, Congyu, Iyer, Siddharth S., Cauley, Stephen F., Huang, Susie Y., Polimeni, Jonathan R., Wald, Lawrence L., Setsompop, Kawin

    Published in Magnetic resonance in medicine (01-10-2019)
    “…Purpose To introduce a combined machine learning (ML)‐ and physics‐based image reconstruction framework that enables navigator‐free, highly accelerated…”
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  15. 15

    Enhanced the mechanical and dielectric properties of bismaleimide composites modified by graphene oxide grafting with maleic anhydride by Chen, Yufei, Tian, Qiyuan, Zhao, Hui, Teng, Chengjun

    “…MAH-GO was prepared by grafting maleic anhydride (MAH) on the surface of graphene oxide (GO). The polymer matrix (MBAE) was synthesized by modifying…”
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  16. 16

    High-fidelity mesoscale in-vivo diffusion MRI through gSlider-BUDA and circular EPI with S-LORAKS reconstruction by Liao, Congyu, Yarach, Uten, Cao, Xiaozhi, Iyer, Siddharth Srinivasan, Wang, Nan, Kim, Tae Hyung, Tian, Qiyuan, Bilgic, Berkin, Kerr, Adam B., Setsompop, Kawin

    Published in NeuroImage (Orlando, Fla.) (15-07-2023)
    “…•We developed complementary 2D partial Fourier and circular-BUDA-EPI to achieve high-resolution diffusion MRI with reduced TE.•We utilized phase constrained…”
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  17. 17

    In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution by Wang, Fuyixue, Dong, Zijing, Tian, Qiyuan, Liao, Congyu, Fan, Qiuyun, Hoge, W. Scott, Keil, Boris, Polimeni, Jonathan R., Wald, Lawrence L., Huang, Susie Y., Setsompop, Kawin

    Published in Scientific data (29-04-2021)
    “…We present a whole-brain in vivo diffusion MRI (dMRI) dataset acquired at 760 μm isotropic resolution and sampled at 1260 q-space points across 9 two-hour…”
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    Scan-rescan repeatability of axonal imaging metrics using high-gradient diffusion MRI and statistical implications for study design by Fan, Qiuyun, Polackal, Maya N., Tian, Qiyuan, Ngamsombat, Chanon, Nummenmaa, Aapo, Witzel, Thomas, Klawiter, Eric C., Huang, Susie Y.

    Published in NeuroImage (Orlando, Fla.) (15-10-2021)
    “…Axon diameter mapping using diffusion MRI in the living human brain has attracted growing interests with the increasing availability of high gradient strength…”
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  20. 20

    Estimating axial diffusivity in the NODDI model by Howard, Amy FD, Cottaar, Michiel, Drakesmith, Mark, Fan, Qiuyun, Huang, Susie Y., Jones, Derek K., Lange, Frederik J., Mollink, Jeroen, Rudrapatna, Suryanarayana Umesh, Tian, Qiyuan, Miller, Karla L, Jbabdi, Saad

    Published in NeuroImage (Orlando, Fla.) (15-11-2022)
    “…•Demonstrate how NODDI outputs change when the assumed axial diffusivity is modified.•Combine high b-value data (to isolate intra-axonal signal) with dispersed…”
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