Transformer Network for Significant Stenosis Detection in CCTA of Coronary Arteries

1 code implementation • 7 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.

The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods

no code implementations • 7 Apr 2021 • Vivek Singh Bawa, Gurkirt Singh, Francis KapingA, Inna Skarga-Bandurova, Elettra Oleari, Alice Leporini, Carmela Landolfo, Pengfei Zhao, Xi Xiang, Gongning Luo, Kuanquan Wang, Liangzhi Li, Bowen Wang, Shang Zhao, Li Li, Armando Stabile, Francesco Setti, Riccardo Muradore, Fabio Cuzzolin

For an autonomous robotic system, monitoring surgeon actions and assisting the main surgeon during a procedure can be very challenging.

Action Detection

Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge

no code implementations • 22 Jun 2020 • Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Victor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen yang, Lei LI

In addition, the paired MS-CMR images could enable algorithms to combine the complementary information from the other sequences for the segmentation of LGE CMR.

Cardiac Segmentation

An Automatic Cardiac Segmentation Framework based on Multi-sequence MR Image

1 code implementation • 12 Sep 2019 • Yashu Liu, Wei Wang, Kuanquan Wang, Chengqin Ye, Gongning Luo

A CNN segmentation model was trained based on the augmented training data by leave-one-out strategy.

Cardiac Segmentation Semantic Segmentation

Multi-step Cascaded Networks for Brain Tumor Segmentation

1 code implementation • 16 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 +1

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

no code implementations • 10 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 Self-Learning

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

1 code implementation • 9 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).