Search Results for author: Gongning Luo

Found 13 papers, 8 papers with code

Unsupervised Decomposition Networks for Bias Field Correction in MR Image

1 code implementation30 Jul 2023 Dong Liang, Xingyu Qiu, Kuanquan Wang, Gongning Luo, Wei Wang, Yashu Liu

Many retrospective algorithms were developed to facilitate the bias correction, to which the deep learning-based methods outperformed.

Image Segmentation Segmentation +1

Position-prior Clustering-based Self-attention Module for Knee Cartilage Segmentation

1 code implementation21 Jun 2022 Dong Liang, Jun Liu, Kuanquan Wang, Gongning Luo, Wei Wang, Shuo Li

The morphological changes in knee cartilage (especially femoral and tibial cartilages) are closely related to the progression of knee osteoarthritis, which is expressed by magnetic resonance (MR) images and assessed on the cartilage segmentation results.

Clustering Segmentation

Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries

1 code implementation7 Jul 2021 Xinghua Ma, Gongning Luo, Wei Wang, Kuanquan Wang

However, the complexity of coronary artery plaques that cause CAD makes the automatic detection of coronary artery stenosis in Coronary CT angiography (CCTA) a difficult task.

Multi-step Cascaded Networks for Brain Tumor Segmentation

1 code implementation16 Aug 2019 Xiangyu Li, Gongning Luo, Kuanquan Wang

Automatic brain tumor segmentation method plays an extremely important role in the whole process of brain tumor diagnosis and treatment.

Brain Tumor Segmentation Data Augmentation +2

VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-voxel Discrimination

no code implementations10 Jun 2018 Suyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li

And cGAN advantageously fuses substantial 3D spatial context information from 3D echocardiography by self-learning structured loss; 2) For the first time, it embeds the atlas into an end-to-end optimization framework, which uses 3D LV atlas as a powerful prior knowledge to improve the inference speed, address the lower contrast and the limited annotation problems of 3D echocardiography; 3) It combines traditional discrimination loss and the new proposed consistent constraint, which further improves the generalization of the proposed framework.

Left Ventricle Segmentation Segmentation +1

Multi-views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images

1 code implementation9 Apr 2018 Gongning Luo, Suyu Dong, Kuanquan Wang, WangMeng Zuo, Shaodong Cao, Henggui Zhang

Methods: In this paper, we propose a direct volumes prediction method based on the end-to-end deep convolutional neural networks (CNN).

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