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Author

Gangwon Jeong

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3 papers indexed here

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Open access Jan 2026

Benchmarking deep learning-based reconstruction methods for photoacoustic computed tomography with clinically relevant synthetic datasets

A benchmarking framework is proposed that provides open-source, anatomically plausible synthetic datasets and evaluation strategies for DL-based acoustic inversion methods in PACT and enables systematic comparisons of DL-based acoustic inversion methods for 2D PACT.

Pan-Pan Chen, Seonyeong Park, Gangwon Jeong et al. · 2 citations
Open access Jan 2026

A Learning-based Framework for Spatial Impulse Response Compensation in 3D Photoacoustic Computed Tomography.

This study presents a framework for establishing a learned data-domain SIR compensation method that maps SIR-corrupted PACT measurement data to compensated data that would have been recorded by idealized point-like transducers, and demonstrates resolution improvement and robustness to noise variations, object complexit...

Kai-Yi Yang, Seonyeong Park, Gangwon Jeong et al. · 1 citation
Open access Jul 2026

A Learning-based Framework for Spatial Impulse Response Compensation in 3D Photoacoustic Computed Tomography.

Photoacoustic computed tomography (PACT) is an emerging imaging modality that combines the molecular contrast of optical absorption with the high spatial resolution of ultrasound detection. Utilizing ultrasound transducers with larger surface areas can improve detection sensitivity. However, when analytic reconstructio...

Kaiyi Yang, Seonyeong Park, Gangwon Jeong et al. · 0 citations

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