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20172025
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

Showing eess.IVShow all

8 papers · 1 filter

eess.IV2025★ 2 cited

Pathology-Guided AI System for Accurate Segmentation and Diagnosis of Cervical Spondylosis

Qi Zhang, Xiuyuan Chen, Ziyi He +4

Cervical spondylosis, a complex and prevalent condition, demands precise and efficient diagnostic techniques for accurate assessment. While MRI offers detailed visualization of cer…

eess.IV2024★ 1 cited

Toward Zero-Shot Learning for Visual Dehazing of Urological Surgical Robots

Renkai Wu, Xianjin Wang, Pengchen Liang +3

Robot-assisted surgery has profoundly influenced current forms of minimally invasive surgery. However, in transurethral suburethral urological surgical robots, they need to work in…

eess.IV2024★ 33 cited

Prototype Learning Guided Hybrid Network for Breast Tumor Segmentation in DCE-MRI

Lei Zhou, Yuzhong Zhang, Jiadong Zhang +8

Automated breast tumor segmentation on the basis of dynamic contrast-enhancement magnetic resonance imaging (DCE-MRI) has shown great promise in clinical practice, particularly for…

eess.IV2024★ 169 cited

UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation

Renkai Wu, Yinghao Liu, Pengchen Liang +1

Traditionally for improving the segmentation performance of models, most approaches prefer to use adding more complex modules. And this is not suitable for the medical field, espec…

eess.IV2023★ 26 cited

MR Elastography with Optimization-Based Phase Unwrapping and Traveling Wave Expansion-based Neural Network (TWENN)

Shengyuan Ma, Runke Wang, Suhao Qiu +7

Magnetic Resonance Elastography (MRE) can characterize biomechanical properties of soft tissue for disease diagnosis and treatment planning. However, complicated wavefields acquire…

eess.IV2020★ 267 cited

Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning

Hengyuan Kang, Liming Xia, Fuhua Yan +8

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, compute…

eess.IV2019★ 4 cited

The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN

Wenjun Yan, Yuanyuan Wang, Shengjia Gu +4

Convolutional neural network (CNN), in particular the Unet, is a powerful method for medical image segmentation. To date Unet has demonstrated state-of-art performance in many comp…

eess.IV2019★ 7 cited

Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction

Hongjiang Wei, Steven Cao, Yuyao Zhang +4

Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic susceptibility from MRI gradient-echo phase signal and typically requires several processing step…