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20042026
most citedJoint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

5.3k citations

Showing 2021 · eess.IVShow all

8 papers · 2 filters

eess.IV2021★ 9 cited

Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism

Minghan Fu, Yanhua Duan, Zhaoping Cheng +4

Reducing the radiation exposure for patients in Total-body CT scans has attracted extensive attention in the medical imaging community. Given the fact that low radiation dose may r…

eess.IV2021★ 2 cited

A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction

Bowen Hu, Baiying Lei, Yanyan Shen +2

Fusing medical images and the corresponding 3D shape representation can provide complementary information and microstructure details to improve the operational performance and accu…

eess.IV2021★ 2 cited

3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image

Bowen Hu, Baiying Lei, Shuqiang Wang +4

3D shape reconstruction is essential in the navigation of minimally-invasive and auto robot-guided surgeries whose operating environments are indirect and narrow, and there have be…

eess.IV2021★ 1.3k cited

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas +55

International challenges have become the de facto standard for comparative assessment of image analysis algorithms given a specific task. Segmentation is so far the most widely inv…

eess.IV2021★ 233 cited

Global Guidance Network for Breast Lesion Segmentation in Ultrasound Images

Cheng Xue, Lei Zhu, Huazhu Fu +4

Automatic breast lesion segmentation in ultrasound helps to diagnose breast cancer, which is one of the dreadful diseases that affect women globally. Segmenting breast regions accu…

eess.IV2021★ 1 cited

Deep Manifold Learning for Dynamic MR Imaging

Ziwen Ke, Zhuo-Xu Cui, Wenqi Huang +8

Purpose: To develop a deep learning method on a nonlinear manifold to explore the temporal redundancy of dynamic signals to reconstruct cardiac MRI data from highly undersampled me…