Search Results for author: Xinzi He

Found 4 papers, 3 papers with code

Neural Pre-Processing: A Learning Framework for End-to-end Brain MRI Pre-processing

1 code implementation21 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.

Reconstruction Skull Stripping +1

Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans

1 code implementation14 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.

Image Registration Medical Image Registration

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

1 code implementation28 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

SANet:Superpixel Attention Network for Skin Lesion Attributes Detection

no code implementations20 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.

Attribute General Classification +2

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