Search Results for author: Yuemeng Li

Found 11 papers, 6 papers with code

Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation

no code implementations17 Nov 2023 Xiaoyang Chen, Hao Zheng, Yuemeng Li, Yuncong Ma, Liang Ma, Hongming Li, Yong Fan

A versatile medical image segmentation model applicable to imaging data collected with diverse equipment and protocols can facilitate model deployment and maintenance.

Image Segmentation Medical Image Segmentation +3

Medical Image Segmentation with Domain Adaptation: A Survey

2 code implementations3 Nov 2023 Yuemeng Li, Yong Fan

Our goal was to provide researchers with up-to-date references on the applications of domain adaptation in medical image segmentation studies.

Domain Adaptation Image Segmentation +3

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

1 code implementation6 Jul 2022 Yuemeng Li, Miguel Romanello Joaquim, Stephen Pickup, Hee Kwon Song, Rong Zhou, Yong Fan

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

Computational Efficiency Segmentation +1

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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