Bangti Jin
University College London
H-index: 46
Europe-United Kingdom
Top articles of Bangti Jin
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Investigating intensity normalisation for pet reconstruction with supervised deep learning | Imraj Singh Alexander Denker Bangti Jin Kris Thielemans Simon Arridge | 2024/1/1 | |
Inverse Coefficient Problem for One-Dimensional Subdiffusion with Data on Disjoint Sets in Time | arXiv preprint arXiv:2403.11599 | Siyu Cen Bangti Jin Yavar Kian Eric Soccorsi Rachid Zarouf | 2024/3/18 |
On the approximation of bi-Lipschitz maps by invertible neural networks | Neural Networks | Bangti Jin Zehui Zhou Jun Zou | 2024/2/24 |
Early Stopping of Untrained Convolutional Neural Networks | arXiv preprint arXiv:2402.04610 | Tim Jahn Bangti Jin | 2024/2/7 |
Svd-dip: Overcoming the overfitting problem in dip-based ct reconstruction | Marco Nittscher Michael Falk Lameter Riccardo Barbano Johannes Leuschner Bangti Jin | 2024/1/23 | |
An adaptive phase-field method for structural topology optimization | Journal of Computational Physics | Bangti Jin Jing Li Yifeng Xu Shengfeng Zhu | 2024/6/1 |
MR-blob: Coordinate-Transformed Blobs for Parallel MRI Reconstruction | Zeljko Kereta Alexander Denker Riccardo Barbano Bangti Jin Kris Thielemans | 2024 | |
Conductivity Imaging from Internal Measurements with Mixed Least-Squares Deep Neural Networks | SIAM Journal on Imaging Sciences | Bangti Jin Xiyao Li Qimeng Quan Zhi Zhou | 2024/3/31 |
3D PET-DIP reconstruction with relative difference prior using a SIRF-based objective | Imraj Singh Riccardo Barbano Zeljko Kereta Bangti Jin Kris Thielemans | 2023/11/1 | |
Numerical treatment and analysis of time-fractional evolution equations | Bangti Jin Zhi Zhou | 2023/2/26 | |
Steerable conditional diffusion for out-of-distribution adaptation in imaging inverse problems | arXiv preprint arXiv:2308.14409 | Riccardo Barbano Alexander Denker Hyungjin Chung Tae Hoon Roh Simon Arrdige | 2023/8/28 |
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based Approaches | arXiv preprint arXiv:2310.18636 | Derick Nganyu Tanyu Jianfeng Ning Andreas Hauptmann Bangti Jin Peter Maass | 2023/10/28 |
Numerical recovery of a time-dependent potential in subdiffusion | Inverse Problems | Bangti Jin Kwancheol Shin Zhi Zhou | 2023/12/28 |
Hybrid neural-network FEM approximation of diffusion coefficient in elliptic and parabolic Problems | arXiv preprint arXiv:2302.10773 | Siyu Cen Bangti Jin Qimeng Quan Zhi Zhou | 2023/2/21 |
Score-based generative models for PET image reconstruction | arXiv preprint arXiv:2308.14190 | Imraj RD Singh Alexander Denker Riccardo Barbano Željko Kereta Bangti Jin | 2023/8/27 |
Solving Poisson Problems in Polygonal Domains with Singularity Enriched Physics Informed Neural Networks | arXiv preprint arXiv:2308.16429 | Tianhao Hu Bangti Jin Zhi Zhou | 2023/8/31 |
Learning Coarse Propagators in Parareal Algorithm | arXiv preprint arXiv:2311.15320 | Bangti Jin Qingle Lin Zhi Zhou | 2023/11/26 |
Image Reconstruction via Deep Image Prior Subspaces | Transactions on Machine Learning Research (1/2024) | Riccardo Barbano Javier Antorán Johannes Leuschner José Miguel Hernández-Lobato Željko Kereta | 2023/2/20 |
Solving Elliptic Optimal Control Problems using Physics Informed Neural Networks | arXiv preprint arXiv:2308.11925 | Bangti Jin Ramesh Sau Luowei Yin Zhi Zhou | 2023/8/23 |
Inverse problems for subdiffusion from observation at an unknown terminal time | SIAM Journal on Applied Mathematics | Bangti Jin Yavar Kian Zhi Zhou | 2023/8/31 |
Co-Authors
