activity
20162023
most citedCE-Net: Context Encoder Network for 2D Medical Image Segmentation

2.3k citations · 7.6k across the 114 of their papers we have counts for

collaborators
Showing 2020Show all

17 papers · 1 filter

eess.IV2020★ 1 cited

Colonoscopy Polyp Detection: Domain Adaptation From Medical Report Images to Real-time Videos

Zhi-Qin Zhan, Huazhu Fu, Yan-Yao Yang +3

Automatic colorectal polyp detection in colonoscopy video is a fundamental task, which has received a lot of attention. Manually annotating polyp region in a large scale video data…

cs.LG2020★ 22 cited

Deep Partial Multi-View Learning

Changqing Zhang, Yajie Cui, Zongbo Han +3

Although multi-view learning has made signifificant progress over the past few decades, it is still challenging due to the diffificulty in modeling complex correlations among diffe…

eess.IV2020★ 5 cited

M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging

Xuelin Qian, Huazhu Fu, Weiya Shi +4

To counter the outbreak of COVID-19, the accurate diagnosis of suspected cases plays a crucial role in timely quarantine, medical treatment, and preventing the spread of the pandem…

cs.CV2020★ 7 cited

Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection

Ruijun Gao, Qing Guo, Felix Juefei-Xu +5

Co-salient object detection (CoSOD) has recently achieved significant progress and played a key role in retrieval-related tasks. However, it inevitably poses an entirely new safety…

eess.IV2020

NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal

Chongyi Li, Huazhu Fu, Runmin Cong +2

Retinal images have been widely used by clinicians for early diagnosis of ocular diseases. However, the quality of retinal images is often clinically unsatisfactory due to eye lesi…

eess.IV2020

Retinal Image Segmentation with a Structure-Texture Demixing Network

Shihao Zhang, Huazhu Fu, Yanwu Xu +2

Retinal image segmentation plays an important role in automatic disease diagnosis. This task is very challenging because the complex structure and texture information are mixed in…

eess.IV2020★ 16 cited

M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients

Tao Zhou, Huazhu Fu, Yu Zhang +4

Early and accurate prediction of overall survival (OS) time can help to obtain better treatment planning for brain tumor patients. Although many OS time prediction methods have bee…

eess.IV2020★ 111 cited

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

Deng-Ping Fan, Ge-Peng Ji, Tao Zhou +4

Colonoscopy is an effective technique for detecting colorectal polyps, which are highly related to colorectal cancer. In clinical practice, segmenting polyps from colonoscopy image…

eess.IV2020★ 14 cited

ROSE: A Retinal OCT-Angiography Vessel Segmentation Dataset and New Model

Yuhui Ma, Huaying Hao, Huazhu Fu +5

Optical Coherence Tomography Angiography (OCT-A) is a non-invasive imaging technique, and has been increasingly used to image the retinal vasculature at capillary level resolution.…

cs.CV2020★ 144 cited

Re-thinking Co-Salient Object Detection

Deng-Ping Fan, Tengpeng Li, Zheng Lin +5

In this paper, we conduct a comprehensive study on the co-salient object detection (CoSOD) problem for images. CoSOD is an emerging and rapidly growing extension of salient object…

cs.CV2020★ 5 cited

Open-Narrow-Synechiae Anterior Chamber Angle Classification in AS-OCT Sequences

Huaying Hao, Huazhu Fu, Yanwu Xu +5

Anterior chamber angle (ACA) classification is a key step in the diagnosis of angle-closure glaucoma in Anterior Segment Optical Coherence Tomography (AS-OCT). Existing automated a…

eess.IV2020★ 1 cited

Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT

Jinkui Hao, Huazhu Fu, Yanwu Xu +5

Precise characterization and analysis of iris shape from Anterior Segment OCT (AS-OCT) are of great importance in facilitating diagnosis of angle-closure-related diseases. Existing…

eess.IV2020★ 16 cited

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

Deng-Ping Fan, Tao Zhou, Ge-Peng Ji +5

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomo…

eess.IV2020★ 9 cited

Modeling and Enhancing Low-quality Retinal Fundus Images

Ziyi Shen, Huazhu Fu, Jianbing Shen +1

Retinal fundus images are widely used for the clinical screening and diagnosis of eye diseases. However, fundus images captured by operators with various levels of experience have…

cs.CV2020★ 9 cited

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

Huazhu Fu, Fei Li, Xu Sun +22

Angle closure glaucoma (ACG) is a more aggressive disease than open-angle glaucoma, where the abnormal anatomical structures of the anterior chamber angle (ACA) may cause an elevat…

eess.IV2020★ 11 cited

A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays

Chendi Rao, Jiezhang Cao, Runhao Zeng +4

Recently, deep neural networks (DNNs) have made great progress on automated diagnosis with chest X-rays images. However, DNNs are vulnerable to adversarial examples, which may caus…

cs.CV2020★ 5 cited

Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis

Tao Zhou, Huazhu Fu, Geng Chen +2

Magnetic resonance imaging (MRI) is a widely used neuroimaging technique that can provide images of different contrasts (i.e., modalities). Fusing this multi-modal data has proven…