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  1. No Access

    Chapter and Conference Paper

    TransBridge: A Lightweight Transformer for Left Ventricle Segmentation in Echocardiography

    Echocardiography is an essential diagnostic method to assess cardiac functions. However, manually labelling the left ventricle region on echocardiography images is time-consuming and subject to observer bias. ...

    Kaizhong Deng, Yanda Meng, Dongxu Gao, Joshua Bridge in Simplifying Medical Ultrasound (2021)

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    Chapter and Conference Paper

    Shape-Aware Weakly/Semi-Supervised Optic Disc and Cup Segmentation with Regional/Marginal Consistency

    Glaucoma is a chronic eye disease that permanently impairs vision. Vertical cup to disc ratio (vCDR) is essential for glaucoma screening. Thus, accurately segmenting the optic disc (OD) and optic cup (OC) from co...

    Yanda Meng, Xu Chen, Hongrun Zhang in Medical Image Computing and Computer Assis… (2022)

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    Chapter and Conference Paper

    NerveFormer: A Cross-Sample Aggregation Network for Corneal Nerve Segmentation

    The segmentation of corneal nerves in corneal confocal microscopy (CCM) is of great to the quantification of clinical parameters in the diagnosis of eye-related diseases and systematic diseases. Existing work...

    Jiayu Chen, Lei Mou, Shaodong Ma, Huazhu Fu in Medical Image Computing and Computer Assis… (2022)

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    Chapter and Conference Paper

    Polar-Net: A Clinical-Friendly Model for Alzheimer’s Disease Detection in OCTA Images

    Optical Coherence Tomography Angiography (OCTA) is a promising tool for detecting Alzheimer’s disease (AD) by imaging the retinal microvasculature. Ophthalmologists commonly use region-based analysis, such as ...

    Shouyue Liu, **kui Hao, Yanwu Xu, Huazhu Fu in Medical Image Computing and Computer Assis… (2023)

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    Chapter and Conference Paper

    Automatically Segment the Left Atrium and Scars from LGE-MRIs Using a Boundary-Focused nnU-Net

    Atrial fibrillation (AF) is the most common cardiac arrhythmia. Accurate segmentation of the left atrial (LA) and LA scars can provide valuable information to predict treatment outcomes in AF. In this paper, w...

    Yuchen Zhang, Yanda Meng, Yalin Zheng in Left Atrial and Scar Quantification and Se… (2023)

  6. No Access

    Chapter and Conference Paper

    Weakly/Semi-supervised Left Ventricle Segmentation in 2D Echocardiography with Uncertain Region-Aware Contrastive Learning

    Segmentation of the left ventricle in 2D echocardiography is essential for cardiac function measures, such as ejection fraction. Fully-supervised algorithms have been used in the past to segment the left ventr...

    Yanda Meng, Yuchen Zhang, Jianyang **e in Pattern Recognition and Computer Vision (2024)