Search Results for author: Yuemeng Li

Found 8 papers, 3 papers with code

Learning Apparent Diffusion Coefficient Maps from Undersampled Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model in Conjunction with a Monoexponential Model

no code implementations6 Jul 2022 Yuemeng Li, Hee Kwon Song, Miguel Romanello Joaquim, Stephen Pickup, Rong Zhou, Yong Fan

Purpose: To accelerate radially sampled diffusion weighted spin-echo (Rad-DW-SE) acquisition method for generating high quality of apparent diffusion coefficient (ADC) maps.

Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging

no code implementations2 Jun 2020 Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan

Deep learning in k-space has demonstrated great potential for image reconstruction from undersampled k-space data in fast magnetic resonance imaging (MRI).

Image Reconstruction

ACEnet: Anatomical Context-Encoding Network for Neuroanatomy Segmentation

1 code implementation13 Feb 2020 Yuemeng Li, Hongming Li, Yong Fan

However, existing 2D deep learning methods are not equipped to effectively capture 3D spatial contextual information that is needed to achieve accurate brain structure segmentation.

Skull Stripping

Context-endcoding for neural network based skull stripping in magnetic resonance imaging

no code implementations23 Oct 2019 Zhen Liu, Borui Xiao, Yuemeng Li, Yong Fan

Skull stripping is usually the first step for most brain analysisprocess in magnetic resonance images.

Skull Stripping

Feature-Fused Context-Encoding Network for Neuroanatomy Segmentation

no code implementations7 May 2019 Yuemeng Li, Hangfan Liu, Hongming Li, Yong Fan

In this way, the network is guaranteed to be aware of the class-dependent feature maps to facilitate the segmentation.

A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities

1 code implementation3 Jul 2018 Bo Zhou, Yuemeng Li, Jiangcong Wang

We present a weakly supervised deep learning model for classifying thoracic diseases and identifying abnormalities in chest radiography.

Classification General Classification

On Spectral Analysis of Directed Signed Graphs

no code implementations23 Dec 2016 Yuemeng Li, Xintao Wu, Aidong Lu

It has been shown that the adjacency eigenspace of a network contains key information of its underlying structure.

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