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

188 citations

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9 papers · 1 filter

eess.IV2024★ 2 cited

MPBD-LSTM: A Predictive Model for Colorectal Liver Metastases Using Time Series Multi-phase Contrast-Enhanced CT Scans

Xueyang Li, Han Xiao, Weixiang Weng +2

Colorectal cancer is a prevalent form of cancer, and many patients develop colorectal cancer liver metastasis (CRLM) as a result. Early detection of CRLM is critical for improving…

eess.IV2022★ 125 cited

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

Lingwei Meng, Di Dong, Xin Chen +5

Objective: Radiomics, an emerging tool for medical image analysis, is potential towards precisely characterizing gastric cancer (GC). Whether using one-slice 2D annotation or whole…

eess.IV2021

EchoCP: An Echocardiography Dataset in Contrast Transthoracic Echocardiography for Patent Foramen Ovale Diagnosis

Tianchen Wang, Zhihe Li, Meiping Huang +6

Patent foramen ovale (PFO) is a potential separation between the septum, primum and septum secundum located in the anterosuperior portion of the atrial septum. PFO is one of the ma…

eess.IV2021★ 3 cited

Pyramid U-Net for Retinal Vessel Segmentation

Jiawei Zhang, Yanchun Zhang, Xiaowei Xu

Retinal blood vessel can assist doctors in diagnosis of eye-related diseases such as diabetes and hypertension, and its segmentation is particularly important for automatic retinal…

eess.IV2021★ 1 cited

ImageCHD: A 3D Computed Tomography Image Dataset for Classification of Congenital Heart Disease

Xiaowei Xu, Tianchen Wang, Jian Zhuang +6

Congenital heart disease (CHD) is the most common type of birth defect, which occurs 1 in every 110 births in the United States. CHD usually comes with severe variations in heart s…

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…

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…