Search Results for author: Kuo-Wei Lai

Found 3 papers, 1 papers with code

General Loss Functions Lead to (Approximate) Interpolation in High Dimensions

no code implementations13 Mar 2023 Kuo-Wei Lai, Vidya Muthukumar

We provide a unified framework, applicable to a general family of convex losses and across binary and multiclass settings in the overparameterized regime, to approximately characterize the implicit bias of gradient descent in closed form.

Vocal Bursts Intensity Prediction

DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging

no code implementations9 Sep 2022 Zhenghan Fang, Kuo-Wei Lai, Peter van Zijl, Xu Li, Jeremias Sulam

Experimental results using both simulation and in vivo human data demonstrate great improvement over state-of-the-art algorithms in terms of the reconstructed tensor image, principal eigenvector maps and tractography results, while allowing for tensor reconstruction with MR phase measured at much less than six different orientations.

Image Reconstruction

Learned Proximal Networks for Quantitative Susceptibility Mapping

1 code implementation11 Aug 2020 Kuo-Wei Lai, Manisha Aggarwal, Peter van Zijl, Xu Li, Jeremias Sulam

More importantly, this framework is believed to be the first deep learning QSM approach that can naturally handle an arbitrary number of phase input measurements without the need for any ad-hoc rotation or re-training.

Image Reconstruction

Cannot find the paper you are looking for? You can Submit a new open access paper.