Search Results for author: Mengjie Shi

Found 4 papers, 2 papers with code

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket

1 code implementation5 Aug 2023 Yuwen Wang, Shunyu Liu, KaiXuan Chen, Tongtian Zhu, Ji Qiao, Mengjie Shi, Yuanyu Wan, Mingli Song

Graph Lottery Ticket (GLT), a combination of core subgraph and sparse subnetwork, has been proposed to mitigate the computational cost of deep Graph Neural Networks (GNNs) on large input graphs while preserving original performance.

Learning-based sound speed estimation and aberration correction in linear-array photoacoustic imaging

1 code implementation19 Jun 2023 Mengjie Shi, Tom Vercauteren, Wenfeng Xia

This framework achieved a root mean square error of 10. 2 m/s and 15. 2 m/s for SoS estimation on digital and physical phantoms, respectively and structural similarity index measures of up to 0. 86 for PA reconstructions as compared to the conventional approach of 0. 69.

Image Reconstruction SSIM +1

Spatiotemporal singular value decomposition for denoising in photoacoustic imaging with low-energy excitation light source

no code implementations9 Jul 2022 Mengjie Shi, Tom Vercauteren, Wenfeng Xia

However, PA signals generated with these light sources are readily degraded by noise due to the low optical fluence, leading to decreased signal-to-noise ratio (SNR) in PA images.

Denoising

Improving needle visibility in LED-based photoacoustic imaging using deep learning with semi-synthetic datasets

no code implementations15 Nov 2021 Mengjie Shi, Tianrui Zhao, Simeon J. West, Adrien E. Desjardins, Tom Vercauteren, Wenfeng Xia

Photoacoustic imaging has shown great potential for guiding minimally invasive procedures by accurate identification of critical tissue targets and invasive medical devices (such as metallic needles).

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