2.3k citations · 2.7k across the 30 of their papers we have counts for
30 papers
HadBalance: A Plug-and-Play Unified Global Geometric Prior Framework for Generalizable Biomedical Segmentation
Zhuangzhi Gao, Feixiang Zhou, He Zhao +11
Precise biomedical image segmentation is crucial for clinical diagnosis. Geometric cues (e.g., boundary, shape, and topology) can improve structural consistency, yet most are task-…
Disentangled Fine-Grained Prototype Learning for Incomplete Image-Tabular Classification
Feixiang Zhou, Jianyang Xie, Zhuangzhi Gao +10
The missing-modality problem poses a significant challenge in image-tabular multimodal learning across a wide range of multimedia applications, including product understanding, rec…
Leveraging Persistence Image to Enhance Robustness and Performance in Curvilinear Structure Segmentation
Zhuangzhi Gao, Feixiang Zhou, He Zhao +8
Segmenting curvilinear structures in medical images is essential for analyzing morphological patterns in clinical applications. Integrating topological properties, such as connecti…
Clinician-Friendly Foundation Models for Ophthalmic Image Diagnostics without Fine-Tuning or Technical Barriers
Meng Wang, Tian Lin, Qingshan Hou +69
Artificial intelligence (AI) shows remarkable potential in medical imaging diagnostics, yet most current models require retraining when applied across different clinical settings,…
MIFNet: Learning Modality-Invariant Features for Generalizable Multimodal Image Matching
Yepeng Liu, Zhichao Sun, Baosheng Yu +4
Many keypoint detection and description methods have been proposed for image matching or registration. While these methods demonstrate promising performance for single-modality ima…
Beyond the Eye: A Relational Model for Early Dementia Detection Using Retinal OCTA Images
Shouyue Liu, Ziyi Zhang, Yuanyuan Gu +7
Early detection of dementia, such as Alzheimer's disease (AD) or mild cognitive impairment (MCI), is essential to enable timely intervention and potential treatment. Accurate detec…
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
Qinkai Yu, Jianyang Xie, Anh Nguyen +6
Diabetic retinopathy (DR) is a complication of diabetes and usually takes decades to reach sight-threatening levels. Accurate and robust detection of DR severity is critical for th…
DSCA: A Digital Subtraction Angiography Sequence Dataset and Spatio-Temporal Model for Cerebral Artery Segmentation
Jiong Zhang, Qihang Xie, Lei Mou +6
Cerebrovascular diseases (CVDs) remain a leading cause of global disability and mortality. Digital Subtraction Angiography (DSA) sequences, recognized as the gold standard for diag…
Polar-Net: A Clinical-Friendly Model for Alzheimer's Disease Detection in OCTA Images
Shouyue Liu, Jinkui Hao, Yanwu Xu +7
Optical Coherence Tomography Angiography (OCTA) is a promising tool for detecting Alzheimer's disease (AD) by imaging the retinal microvasculature. Ophthalmologists commonly use re…
Retinal Structure Detection in OCTA Image via Voting-based Multi-task Learning
Jinkui Hao, Ting Shen, Xueli Zhu +7
Automated detection of retinal structures, such as retinal vessels (RV), the foveal avascular zone (FAZ), and retinal vascular junctions (RVJ), are of great importance for understa…
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality Augmentation
Amrest Chinkamol, Vetit Kanjaras, Phattarapong Sawangjai +5
While there have been increased researches using deep learning techniques for the extraction of vascular structure from the 2D en face OCTA, for such approach, it is known that the…
Sparse-based Domain Adaptation Network for OCTA Image Super-Resolution Reconstruction
Huaying Hao, Cong Xu, Dan Zhang +4
Retinal Optical Coherence Tomography Angiography (OCTA) with high-resolution is important for the quantification and analysis of retinal vasculature. However, the resolution of OCT…
Structure-consistent Restoration Network for Cataract Fundus Image Enhancement
Heng Li, Haofeng Liu, Huazhu Fu +5
Fundus photography is a routine examination in clinics to diagnose and monitor ocular diseases. However, for cataract patients, the fundus image always suffers quality degradation…
An Annotation-free Restoration Network for Cataractous Fundus Images
Heng Li, Haofeng Liu, Yan Hu +4
Cataracts are the leading cause of vision loss worldwide. Restoration algorithms are developed to improve the readability of cataract fundus images in order to increase the certain…
Spatial-context-aware deep neural network for multi-class image classification
Jialu Zhang, Qian Zhang, Jianfeng Ren +2
Multi-label image classification is a fundamental but challenging task in computer vision. Over the past few decades, solutions exploring relationships between semantic labels have…
Explainable Diabetic Retinopathy Detection and Retinal Image Generation
Yuhao Niu, Lin Gu, Yitian Zhao +1
Though deep learning has shown successful performance in classifying the label and severity stage of certain diseases, most of them give few explanations on how to make predictions…
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification
Jiansheng Fang, Yanwu Xu, Yitian Zhao +3
Chest X-rays are the most commonly available and affordable radiological examination for screening thoracic diseases. According to the domain knowledge of screening chest X-rays, t…
3D Vessel Reconstruction in OCT-Angiography via Depth Map Estimation
Shuai Yu, Jianyang Xie, Jinkui Hao +5
Optical Coherence Tomography Angiography (OCTA) has been increasingly used in the management of eye and systemic diseases in recent years. Manual or automatic analysis of blood ves…
CS2-Net: Deep Learning Segmentation of Curvilinear Structures in Medical Imaging
Lei Mou, Yitian Zhao, Huazhu Fu +9
Automated detection of curvilinear structures, e.g., blood vessels or nerve fibres, from medical and biomedical images is a crucial early step in automatic image interpretation ass…
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.…
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…
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…
Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning
Huihong Zhang, Jianlong Yang, Kang Zhou +6
The choroid provides oxygen and nourishment to the outer retina thus is related to the pathology of various ocular diseases. Optical coherence tomography (OCT) is advantageous in v…
Sparse-GAN: Sparsity-constrained Generative Adversarial Network for Anomaly Detection in Retinal OCT Image
Kang Zhou, Shenghua Gao, Jun Cheng +6
With the development of convolutional neural network, deep learning has shown its success for retinal disease detection from optical coherence tomography (OCT) images. However, dee…