2 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 1 cited
General Loss Functions Lead to (Approximate) Interpolation in High Dimensions
Kuo-Wei Lai, Vidya Muthukumar
We provide a unified framework that applies to a general family of convex losses across binary and multiclass settings in the overparameterized regime to approximately characterize…
eess.IV2022★ 1 cited
DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging
Zhenghan Fang, Kuo-Wei Lai, Peter van Zijl +2
Susceptibility tensor imaging (STI) is an emerging magnetic resonance imaging technique that characterizes the anisotropic tissue magnetic susceptibility with a second-order tensor…
eess.IV2020★ 2 cited
Learned Proximal Networks for Quantitative Susceptibility Mapping
Kuo-Wei Lai, Manisha Aggarwal, Peter van Zijl +2
Quantitative Susceptibility Mapping (QSM) estimates tissue magnetic susceptibility distributions from Magnetic Resonance (MR) phase measurements by solving an ill-posed dipole inve…