activity
20132023
most citedCompressed sensing and sparsity in photoacoustic tomography

67 citations · 96 across the 17 of their papers we have counts for

collaborators

20 papers

math.AP2023

Explicit inversion for variable-speed wave equations on bounded domains

Sunghwan Moon, Ihyeok Seo

We study the reconstruction of the initial pressure for the wave model \[ \partial_t^2 p(x,t)=c(x)Δ_{x}p(x,t)\qquad (x,t)\inΩ\times[0,\infty), \] posed on a bounded d…

math.AP2023

Reconstruction of the initial data from the trace of the solutions on an infinite time cylinder of damped wave equations

Seongyeon Kim, Sunghwan Moon, Ihyeok Seo

In this paper, we consider two types of damped wave equations: the weakly damped equation and the strongly damped equation. We recover the initial velocity from the trace of the so…

math.NA2023

Self-supervised learning for a nonlinear inverse problem with forward operator involving an unknown function arising in photoacoustic tomography

Gyeongha Hwang, Gihyeon Jeon, Sunghwan Moon

In this article, we are concerned with a nonlinear inverse problem with a forward operator involving an unknown function. The problem arises in diverse applications and is challeng…

math.NA2022

Singular value decomposition of the wave forward operator with radial variable coefficients

Minam Moon, Injo Hur, Sunghwan Moon

Photoacoustic tomography (PAT) is a novel and promising technology in hybrid medical imaging that involves generating acoustic waves in the object of interest by stimulating electr…

math.AP2022

Reconstruction of the initial function from the solution of the fractional wave equation measured in two geometric settings

Hyungyeong Jung, Sunghwan Moon

Photoacoustic tomography (PAT) is a novel and rapidly promising technique in the field of medical imaging, based on the generation of acoustic waves inside an object of interest by…

cs.LG2020

Error estimate for a universal function approximator of ReLU network with a local connection

Jae-Mo Kang, Sunghwan Moon

Neural networks have shown high successful performance in a wide range of tasks, but further studies are needed to improve its performance. We analyze the approximation error of th…