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20182023
most citedAnnotation-efficient deep learning for automatic medical image segmentation

313 citations · 719 across the 30 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

eess.IV2021

Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study

Longfei Li, Rui Yang, Xin Chen +5

Prostate Imaging Reporting and Data System (PI-RADS) based on multi-parametric MRI classiêes patients into 5 categories (PI-RADS 1-5) for routine clinical diagnosis guidance. Howev…

eess.IV2021

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

Zijie Chen, Cheng Li, Junjun He +5

Radiation therapy (RT) is widely employed in the clinic for the treatment of head and neck (HaN) cancers. An essential step of RT planning is the accurate segmentation of various o…

eess.IV2021

Group Shift Pointwise Convolution for Volumetric Medical Image Segmentation

Junjun He, Jin Ye, Cheng Li +5

Recent studies have witnessed the effectiveness of 3D convolutions on segmenting volumetric medical images. Compared with the 2D counterparts, 3D convolutions can capture the spati…

cs.CV2021★ 1 cited

Self-Supervised Learning for MRI Reconstruction with a Parallel Network Training Framework

Chen Hu, Cheng Li, Haifeng Wang +3

Image reconstruction from undersampled k-space data plays an important role in accelerating the acquisition of MR data, and a lot of deep learning-based methods have been exploited…

eess.IV2021★ 4 cited

Blind Image Quality Assessment for MRI with A Deep Three-dimensional content-adaptive Hyper-Network

Kehan Qi, Haoran Li, Chuyu Rong +4

Image Quality Assessment (IQA) is of great value in the workflow of Magnetic Resonance Imaging (MRI)-based analysis. Blind IQA (BIQA) methods are especially required since high-qua…