activity
20102020
most citedDeep Learning Diffuse Optical Tomography

123 citations · 140 across the 11 of their papers we have counts for

collaborators

14 papers

math-ph2020

Three-dimensional Elastic Scattering Coefficients and Enhancement of the Elastic Near Cloaking

Hongyu Liu, Wing Yan Tsui, Abdul Wahab +1

This paper is concerned with the elastic near cloaking for the Lamé system in three-dimensions using the notion of elastic scattering coefficients (ESC). Accordingly, the ESC of ar…

math.OC2018

A Mathematical Framework for Deep Learning in Elastic Source Imaging

Jaejun Yoo, Abdul Wahab, Jong Chul Ye

An inverse elastic source problem with sparse measurements is of concern. A generic mathematical framework is proposed which incorporates a low- dimensional manifold regularization…

math.NA2017

Topological Sensitivity Based Far-Field Detection of Elastic Inclusions

Tasawar Abbas, Shujaat Khan, Muhammad Sajid +2

The aim of this article is to present and rigorously analyze topological sensitivity based algorithms for detection of diametrically small inclusions in an isotropic homogeneous el…

cs.CV2017★ 123 cited

Deep Learning Diffuse Optical Tomography

Jaejun Yoo, Sohail Sabir, Duchang Heo +10

Diffuse optical tomography (DOT) has been investigated as an alternative imaging modality for breast cancer detection thanks to its excellent contrast to hemoglobin oxidization lev…

math.NA2016

A Joint Sparse Recovery Framework for Accurate Reconstruction of Inclusions in Elastic Media

Jaejun Yoo, Younghoon Jung, Mikyoung Lim +2

A robust algorithm is proposed to reconstruct the spatial support and the Lamé parameters of multiple inclusions in a homogeneous background elastic material using a few measuremen…

math.NA2016★ 7 cited

Detection of Electromagnetic Inclusions using Topological Sensitivity

Abdul Wahab, Tasawar Abbas, Naveed Ahmed +1

In this article a topological sensitivity framework for far field detection of a diametrically small electromagnetic inclusion is established. The cases of single and multiple meas…