1 code implementation • 21 Mar 2023 • Xinzi He, Alan Wang, Mert R. Sabuncu
Head MRI pre-processing involves converting raw images to an intensity-normalized, skull-stripped brain in a standard coordinate space.
Ranked #1 on Reconstruction on PPMI
1 code implementation • 14 Jun 2021 • Xinzi He, Jia Guo, Xuzhe Zhang, Hanwen Bi, Sarah Gerard, David Kaczka, Amin Motahari, Eric Hoffman, Joseph Reinhardt, R. Graham Barr, Elsa Angelini, Andrew Laine
We introduce a recursive refinement network (RRN) for unsupervised medical image registration, to extract multi-scale features, construct normalized local cost correlation volume and recursively refine volumetric deformation vector fields.
Ranked #1 on Image Registration on DIR-LAB COPDgene
1 code implementation • 28 May 2021 • Xuzhe Zhang, Xinzi He, Jia Guo, Nabil Ettehadi, Natalie Aw, David Semanek, Jonathan Posner, Andrew Laine, Yun Wang
Magnetic resonance imaging (MRI) noninvasively provides critical information about how human brain structures develop across stages of life.
Generative Adversarial Network Vocal Bursts Intensity Prediction
no code implementations • 20 Oct 2019 • Xinzi He, Baiying Lei, Tianfu Wang
We introduce a superpixel average pooling to reformulate the superpixel classification problem as a superpixel segmentation problem and a SAMis utilized to focus on discriminative superpixel regions and feature channels.