output
20122024
most citedMDU-Net: Multi-scale Densely Connected U-Net for biomedical image segmentation

188 citations

Showing 2020Show all

6 papers · 1 filter

eess.IV2020★ 9 cited

Myocardial Segmentation of Cardiac MRI Sequences with Temporal Consistency for Coronary Artery Disease Diagnosis

Yutian Chen, Xiaowei Xu, Dewen Zeng +6

Coronary artery disease (CAD) is the most common cause of death globally, and its diagnosis is usually based on manual myocardial segmentation of Magnetic Resonance Imaging (MRI) s…

eess.IV2020★ 1 cited

Do Noises Bother Human and Neural Networks In the Same Way? A Medical Image Analysis Perspective

Shao-Cheng Wen, Yu-Jen Chen, Zihao Liu +7

Deep learning had already demonstrated its power in medical images, including denoising, classification, segmentation, etc. All these applications are proposed to automatically ana…

cs.CV2020★ 1 cited

TENet: Triple Excitation Network for Video Salient Object Detection

Sucheng Ren, Chu Han, Xin Yang +2

In this paper, we propose a simple yet effective approach, named Triple Excitation Network, to reinforce the training of video salient object detection (VSOD) from three aspects, s…

eess.IV2020★ 1 cited

Towards Cardiac Intervention Assistance: Hardware-aware Neural Architecture Exploration for Real-Time 3D Cardiac Cine MRI Segmentation

Dewen Zeng, Weiwen Jiang, Tianchen Wang +6

Real-time cardiac magnetic resonance imaging (MRI) plays an increasingly important role in guiding various cardiac interventions. In order to provide better visual assistance, the…

eess.IV2020

ICA-UNet: ICA Inspired Statistical UNet for Real-time 3D Cardiac Cine MRI Segmentation

Tianchen Wang, Xiaowei Xu, Jinjun Xiong +5

Real-time cine magnetic resonance imaging (MRI) plays an increasingly important role in various cardiac interventions. In order to enable fast and accurate visual assistance, the t…

cs.CV2020★ 2 cited

BUNET: Blind Medical Image Segmentation Based on Secure UNET

Song Bian, Xiaowei Xu, Weiwen Jiang +2

The strict security requirements placed on medical records by various privacy regulations become major obstacles in the age of big data. To ensure efficient machine learning as a s…