Search Results for author: Ying Yang

Found 8 papers, 2 papers with code

Model-based iterative reconstruction for spectral-domain optical coherence tomography

no code implementations2 Aug 2021 Jonathan H. Mason, Yvonne Reinwald, Ying Yang, Sarah Waters, Alicia El Haj, Pierre O. Bagnaninchi

Spectral domain optical coherence tomography (OCT) offers high resolution multidimensional imaging, but generally suffers from defocussing, intensity falloff and shot noise, causing artifacts and image degradation along the imaging depth.

Simultaneous reconstruction and displacement estimation for spectral-domain optical coherence elastography

no code implementations2 Aug 2021 Jonathan H. Mason, Yvonne Reinwald, Ying Yang, Sarah Waters, Alicia El Haj, Pierre O. Bagnaninchi

Optical coherence elastography allows the characterization of the mechanical properties of tissues, and can be performed through estimating local displacement maps from subsequent acquisitions of a sample under different loads.


Unsupervised Spatial-spectral Network Learning for Hyperspectral Compressive Snapshot Reconstruction

no code implementations18 Dec 2020 Yubao Sun, Ying Yang, Qingshan Liu, Mohan Kankanhalli

Hyperspectral compressive imaging takes advantage of compressive sensing theory to achieve coded aperture snapshot measurement without temporal scanning, and the entire three-dimensional spatial-spectral data is captured by a two-dimensional projection during a single integration period.

Compressive Sensing

A new 2D auxetic CN2 nanostructure with high energy density and mechanical strength

no code implementations14 Dec 2020 Qun Wei, Ying Yang, Alexander Gavrilov, Xihong Peng

The modulus in the zigzag direction is predicted to be 340 N/m, stiffer than h-BN and penta-CN2 sheets and comparable to graphene.

Band Gap Materials Science Computational Physics

High-order structure preserving graph neural network for few-shot learning

1 code implementation29 May 2020 Guangfeng Lin, Ying Yang, Yindi Fan, Xiaobing Kang, Kaiyang Liao, Fan Zhao

Most existing methods try to model the similarity relationship of the samples in the intra tasks, and generalize the model to identify the new categories.

Few-Shot Learning

An application of cascaded 3D fully convolutional networks for medical image segmentation

1 code implementation14 Mar 2018 Holger R. Roth, Hirohisa ODA, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku MORI

In this work, we show that a multi-class 3D FCN trained on manually labeled CT scans of several anatomical structures (ranging from the large organs to thin vessels) can achieve competitive segmentation results, while avoiding the need for handcrafting features or training class-specific models.

3D Medical Imaging Segmentation

A state-space model of cross-region dynamic connectivity in MEG/EEG

no code implementations NeurIPS 2016 Ying Yang, Elissa Aminoff, Michael Tarr, Kass E. Robert

The model treats the mean activity in individual ROIs as the state variable, and describes non-stationary dynamic dependence across ROIs using time-varying auto-regression.


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