Bangti Jin

University College London

United Kingdom

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Articles (26)

Collaborators (5)

Yavar Kian

Professor (full)

University of Rouen

Kris Thielemans

Professor in Medical Imaging Physics

University College London

UNITED KINGDOM

Simon Arridge

University College London

UNITED KINGDOM

Imraj Singh

University College London

UNITED KINGDOM

Yikan Liu

准教授 / Associate Professor

Kyoto University

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Bangti Jin

Research Interests

Explore related searches

Contact this professor

Articles (26)

Collaborators (5)

Yavar Kian

Kris Thielemans

Simon Arridge

Imraj Singh

Yikan Liu

Make your next move.

Bangti Jin

Research Interests

Explore related searches

Contact this professor

Articles (26)

On an Inverse Problem of the Generalized Bathtub Model of Network Trip Flows

Direct Algorithms for Reconstructing Small Conductivity Inclusions in Subdiffusion

Solving inverse acoustic obstacle scattering problem from phaseless far-field measurement using deep neural network surrogates*

Stochastic Convergence Analysis of the Inverse Potential Problem

Point Source Identification in Subdiffusion from A Posteriori Internal Measurement

Regularity Analysis and High-Order Time Stepping Scheme for Quasilinear Subdiffusion

Solving elliptic optimal control problems via neural networks and optimality system

Iterative Direct Sampling Method for Elliptic Inverse Problems with Limited Cauchy Data

Adaptive approximations of inclusions in a semilinear elliptic problem related to cardiac electrophysiology

Identification of a Spatially-Dependent Variable Order in One-Dimensional Subdiffusion

Score-Based Generative Models for PET Image Reconstruction

Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks

Solving inverse obstacle scattering problem with latent surface representations

On the approximation of bi-Lipschitz maps by invertible neural networks

Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks

Numerical recovery of a time-dependent potential in subdiffusion *

An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction

Recovery of multiple parameters in subdiffusion from one lateral boundary measurement

Convergence rate analysis of Galerkin approximation of inverse potential problem

Unsupervised knowledge-transfer for learned image reconstruction*

Imaging conductivity from current density magnitude using neural networks*

An analysis of stochastic variance reduced gradient for linear inverse problems *

An Educated Warm Start for Deep Image Prior-Based Micro CT Reconstruction

Stochastic EM methods with variance reduction for penalised PET reconstructions

Conditional Variational Autoencoder for Learned Image Reconstruction

Recovering the potential and order in one-dimensional time-fractional diffusion with unknown initial condition and source *

Collaborators (5)

Yavar Kian

Kris Thielemans

Simon Arridge

Imraj Singh

Yikan Liu

Make your next move.