| Learned proximal networks for quantitative susceptibility mapping KW Lai, M Aggarwal, P van Zijl, X Li, J Sulam Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 37 | 2020 |
| Deepsti: towards tensor reconstruction using fewer orientations in susceptibility tensor imaging Z Fang, KW Lai, P van Zijl, X Li, J Sulam Medical image analysis 87, 102829, 2023 | 5 | 2023 |
| General loss functions lead to (approximate) interpolation in high dimensions KW Lai, V Muthukumar arXiv preprint arXiv:2303.07475, 2023 | 5 | 2023 |
| Effect of motion, cortical orientation and spatial resolution on quantitative imaging of cortical R2* and magnetic susceptibility at 0.3 mm in-plane resolution at 7 T P van Gelderen, X Li, JA de Zwart, ES Beck, SV Okar, Y Huang, KW Lai, ... NeuroImage 270, 119992, 2023 | 4 | 2023 |
| Sharp analysis of out-of-distribution error for" importance-weighted" estimators in the overparameterized regime KW Lai, V Muthukumar arXiv preprint arXiv:2405.06546, 2024 | | 2024 |
| In vivo quantitative laminar R 2* and susceptibility imaging at 0.3 mm in-plane resolution J Liu, P van Gelderen, X Li, JA de Zwart, KW Lai, J Sulam, ES Beck, ... | | |
| Learned Proximal Convolutional Neural Network for Susceptibility Tensor Imaging KW Lai, J Sulam, M Aggarwal, P van Zijl, X Li | | |
| OG-DNN: Orientation-Grasp Deep Neural Network for Quantitative Susceptibility Mapping KW Lai, J Sulam, M Aggarwal, P van Zijl, X Li | | |
