88 citations · 533 across the 20 of their papers we have counts for
11 papers · 1 filter
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation
Ziyuan Zhao, Fangcheng Zhou, Zeng Zeng +2
Domain shift and label scarcity heavily limit deep learning applications to various medical image analysis tasks. Unsupervised domain adaptation (UDA) techniques have recently achi…
Adaptive Mean-Residue Loss for Robust Facial Age Estimation
Ziyuan Zhao, Peisheng Qian, Yubo Hou +1
Automated facial age estimation has diverse real-world applications in multimedia analysis, e.g., video surveillance, and human-computer interaction. However, due to the randomness…
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading
Peisheng Qian, Ziyuan Zhao, Cong Chen +2
Diabetic retinopathy (DR) is one of the most common eye conditions among diabetic patients. However, vision loss occurs primarily in the late stages of DR, and the symptoms of visu…
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation
Ziyuan Zhao, Zeyu Ma, Yanjie Liu +2
Accurate automatic liver and tumor segmentation plays a vital role in treatment planning and disease monitoring. Recently, deep convolutional neural network (DCNNs) has obtained tr…
Hierarchical Consistency Regularized Mean Teacher for Semi-supervised 3D Left Atrium Segmentation
Shumeng Li, Ziyuan Zhao, Kaixin Xu +2
Deep learning has achieved promising segmentation performance on 3D left atrium MR images. However, annotations for segmentation tasks are expensive, costly and difficult to obtain…
DSAL: Deeply Supervised Active Learning from Strong and Weak Labelers for Biomedical Image Segmentation
Ziyuan Zhao, Zeng Zeng, Kaixin Xu +2
Image segmentation is one of the most essential biomedical image processing problems for different imaging modalities, including microscopy and X-ray in the Internet-of-Medical-Thi…
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading
Ziyuan Zhao, Kartik Chopra, Zeng Zeng +1
Diabetes is one of the most common disease in individuals. \textit{Diabetic retinopathy} (DR) is a complication of diabetes, which could lead to blindness. Automatic DR grading bas…
Multi-Target Deep Learning for Algal Detection and Classification
Peisheng Qian, Ziyuan Zhao, Haobing Liu +6
Water quality has a direct impact on industry, agriculture, and public health. Algae species are common indicators of water quality. It is because algal communities are sensitive t…
Deeply Supervised Active Learning for Finger Bones Segmentation
Ziyuan Zhao, Xiaoyan Yang, Bharadwaj Veeravalli +1
Segmentation is a prerequisite yet challenging task for medical image analysis. In this paper, we introduce a novel deeply supervised active learning approach for finger bones segm…
BiRA-Net: Bilinear Attention Net for Diabetic Retinopathy Grading
Ziyuan Zhao, Kerui Zhang, Xuejie Hao +4
Diabetic retinopathy (DR) is a common retinal disease that leads to blindness. For diagnosis purposes, DR image grading aims to provide automatic DR grade classification, which is…
Semi-Supervised Self-Taught Deep Learning for Finger Bones Segmentation
Ziyuan Zhao, Xiaoman Zhang, Cen Chen +6
Segmentation stands at the forefront of many high-level vision tasks. In this study, we focus on segmenting finger bones within a newly introduced semi-supervised self-taught deep…