Publications

Journal Publications

  1. Hu Y, Xu Y, Tian Q, Chen F, Shi X, Moran C, Daniel B, Hargreaves B, “RUN-UP: accelerated multi-shot diffusion-weighted MRI Reconstruction using an Unrolled Network with U-Net as Priors”, Magn Reson Med. DOI: 10.1002/MRM.28446.

  2. Tian Q, Bilgic B, Fan Q, Liao C, Ngamsombat C, Hu Y, Witzel T, Setsompop K, Polimeni JR, Huang SY. “DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning,” NeuroImage. 2020 Jun 3:117017.

  3. Hu Y, Wang X, Tian Q, Yang G, Daniel B, McNab J, Hargreaves B. “Multi-shot diffusion-weighted MRI reconstruction with magnitude-based spatial-angular locally low-rank regularization (SPA-LLR),” Magn Reson Med. 2020;83:1596–1607.

  4. Hu Y, Levine E, Tian Q, Moran C, Wang X, Taviani V, Vasanawala S, McNab J, Daniel B, Hargreaves B. “Motion‐robust reconstruction of multishot diffusion‐weighted images without phase estimation through locally low‐rank regularization,” Magn Reson Med. 2019;81:1181–1190.

  5. Yuan J, Hu Y, Menini A, Sandino C, Sandberg J, Sheth V, Alley M, Lustig M, Hargreaves B, Vasanawala S, “Near-silent distortionless DWI using magnetization-prepared RUFIS,” Magn Reson Med. 2020;84:170–181.

  6. Guo H, Wang G, Huang L, Hu Y, Yuan C, Li R, Zhao X, “A Robust and Accurate Two-Step Auto-Labeling Conditional Iterative Closest Points (TACICP) Algorithm for Three-Dimensional Multi-Modal Carotid Image Registration,” PloS one, 11(2), e0148783.

Preprints

  1. Hu Y, Ikeda D, Pittman S, Samarawickrama D, Guidon A, Shimakawa A, Rosenberg J, Chen S, Okamoto S, Daniel B, Hargreaves B, Moran C, Diffusion-weighted MRI of the Breast with Multiplexed Sensitivity Encoding (MUSE) and Shot Locally Low-Rank (shot-LLR) Reconstructions", (under review)

Conference Proceedings

  1. Hu Y, Tian Q, Xu Y, Lee P, Daniel B, Hargreaves B, “Weighted-nuclear-norm minimization for low-rank approximation – application to multi- shot diffusion-weighted MRI reconstruction,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Sydney, Australia; 2020, p.3447.

  2. Hu Y*, Lee P*, Hargreaves B. “An EPI Sampling Trajectory with ACS Lines in Each Shot,” International Society of Magnetic Resonance in Medicine Workshop on Data Sampling & Image Reconstruction. Arizonia, USA; 2020.

  3. Hu Y, Shi X, Tian Q, Guo H, Deng M, Yu M, Moran C, Yang G, McNab J, Daniel B, Hargreaves B, “Reconstruction of multi-shot diffusion-weighted MRI using unrolled network with U-nets as priors,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Montreal, Canada; 2019, p.0465. [Power Pitch]

  4. Hu Y, Tian Q, Yang G, McNab J, Daniel B, Hargreaves B, “A nonlinear model for DTI reconstruction with locally low-rank regularization,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Montreal, Canada; 2019, p.0234. [Power Pitch]

  5. Hu Y, Guidon A, Estkowski L, Daniel B, Hargreaves B, Moran C, “Multi-shot DWI with multiplexed sensitivity encoding (MUSE) versus single-shot DWI in the breast,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Montreal, Canada; 2019, p.0604. [Power Pitch]

  6. Yuan J, Hu Y, Menini A, Sandino C, Sandberg J, Alley M, Lustig M, Hargreaves B, Vasanawala S, “Silent Distortionless DWI,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Montreal, Canada; 2019, p.3489.

  7. Tian Q, Ngamsombat C, Bilgic B, Fan Q, Hu Y, McNab J, Witzel T, Setsompop K, Polimeni J, Huang S, “Creating a diffusion tractography-based atlas of human thalamic ventral intermediate nucleus aided by deep learning,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Montreal, Canada; 2019, p.0796.

  8. Tian Q, Bilgic B, Fan Q, Ngamsombat C, Liao C, Hu Y, Witzel T, Setsompop K, Polimeni J, Huang S, “Six-direction diffusion tensor MRI using a convolutional neural network,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Montreal, Canada; 2019, p.4422.

  9. Bilgic B, Liao C, Manhard K, Tian Q, Chatnuntawech I, Iyer S, Cauley S, Feiweier T, Giri S, Hu Y, Huang S, Polimeni J, Wald L, Setsompop K, “Robust high-quality multi-shot EPI with low-rank prior and machine learning,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Montreal, Canada; 2019, p.1250.

  10. Tian Q, Bilgic B, Fan Q, Ngamsombat C, Ohringer N, Hu Y, Witzel T, Setsompop K, Wald L, Polimeni J, Huang S. “Improving cortical surface reconstruction using super-resolution sub-millimeter structural MRI data synthesized with a convolutional neural network,” ISMRM Workshop 2018 on Machine Learning, Capital Hilton, Washington, D.C., USA.

  11. Tian Q, Bilgic B, Fan Q, Ngamsombat C, Ohringer N, Hu Y, Witzel T, Setsompop K, Wald L, Polimeni J, Huang S. “Diffusion MRI tractography of tremor circuits using subject-specific brain regions of interest segmented by a convolutional neural network,” ISMRM Workshop 2018 on Machine Learning, Capital Hilton, Washington, D.C., USA.

  12. Hu Y, Wang X, Levine E, Tian Q, Taviani V, Ong F, Vasanawala S, McNab J, Daniel B, Hargreaves B. “Multishot high-resolution brain diffusion-weighted imaging using phase regularized reconstruction,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Paris, France; 2018, p.0750. [Power Pitch]

  13. Hu Y, Levine E, Moran C, Taviani V, Vasanawala S, Daniel B, Hargreaves B. “High-Resolution Multishot Diffusion-Weighted Body and Breast MRI using Locally Low-rank regularization,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Paris, France; 2018, p.0992. [Power Pitch]

  14. Lee P, Yoon D, Shi X, Levine E, Hu Y, Hargreaves B. “Reformattable MAVRIC-SL Using Robust Principal Component Analysis and Variable Density Complementary Poisson Disc Sampling,” In Proceedings of the Joint Annual Meeting ISMRM-ESMRMB. Paris, France; 2018, p.2686.

  15. Hu Y, Taviani V, Daniel B, Hargreaves B. “Independent band-specific correction for B0 and B1 inhomogeneities in multiband 2D RF pulses,” In Proceedings of the 25th Annual Meeting ISMRM. Honolulu, Hawai’i, USA; 2017. p.3852.

  16. Wang F, Dong Z, Chen F, Hu Y, Ning J, Huang F, Chen H. “Variable Density CAIPIRINHA for Highly Accelerated Volumetric Dynamic Contrast-Enhanced Imaging of Liver,” In Proceedings of the 25th Annual Meeting ISMRM. Honolulu, Hawai’i, USA; 2017. p.3209.

  17. Hu Y, Zhang T, Ying K, Pauly J, “Generalized Direct Virtual Coil (DVC) with SPIRiT kernel for arbitrary sampling pattern,” In Proceedings of the 23rd Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2015. p.2425.

  18. Hu Y, Chen S, Chen B, Yang J, Wei X, Wang S, K. Ying, “Direct Virtual Coil (DVC) for bone tumor temperature mapping,” In Proceedings of the 23rd Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2015. p.4058.

  19. Wang F, Dong Z, Hu Y, Chen F, Chen S, Chen B, Yang J, Wei X, Wang S, Ying K, “Dynamic 3D MR Thermometry using Controlled Aliasing in Volumetric Parallel Imaging (2D CAIPIRINHA) for MR-guided Microwave ablation of bone tumor,” In Proceedings of the 23rd Annual Meeting of ISMRM, Toronto, Ontario, Canada, 2015. p.1650.

  20. Hu Y, Chen F, Zhu D, Peng C, Wang S and Ying K, “Comparison of GRAPPA, SPIRiT and ESPIRiT for the Acceleration of Model-based PRF Temperature Mapping,” In Proceedings of the 22nd Annual Meeting of ISMRM, Milan, Italy, 2014. p.2355.

Patents and Provisions

  1. Hu Y, Hargreaves B, “RUN-UP: multi-shot diffusion-weighted MRI Reconstruction using Unrolled Network with U-Net as Priors”, Stanford Docket S19-459.

  2. Hu Y, Hargreaves B, “A nonlinear model for diffusion-weighted MRI reconstruction with magnitude-basedlocally low-rank regularization”, Stanford Docket S19-104.

  3. Hu Y, Levine E, Hargreaves B, Daniel B, “Motion robust reconstruction of multi-shot diffusion-weighted images without phaseestimation via locally low-rank regularization”, Stanford Docket S18-170.