output
20182026
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2021Show all

5 papers · 1 filter

eess.IV2021★ 8 cited

Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images

Chen Zhao, Shi Shi, Zhuo He +5

Background. Functional assessment of right ventricle (RV) using gated myocardial perfusion single-photon emission computed tomography (MPS) heavily relies on the precise extraction…

cs.CV2021★ 1 cited

Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction

Mingyuan Luo, Xin Yang, Xiaoqiong Huang +6

3D ultrasound (US) is widely used for its rich diagnostic information. However, it is criticized for its limited field of view. 3D freehand US reconstruction is promising in addres…

eess.IV2021★ 1 cited

Joint Landmark and Structure Learning for Automatic Evaluation of Developmental Dysplasia of the Hip

Xindi Hu, Limin Wang, Xin Yang +9

The ultrasound (US) screening of the infant hip is vital for the early diagnosis of developmental dysplasia of the hip (DDH). The US diagnosis of DDH refers to measuring alpha and…

eess.IV2021★ 6 cited

Task Transformer Network for Joint MRI Reconstruction and Super-Resolution

Chun-Mei Feng, Yunlu Yan, Huazhu Fu +2

The core problem of Magnetic Resonance Imaging (MRI) is the trade off between acceleration and image quality. Image reconstruction and super-resolution are two crucial techniques i…

physics.med-ph2021★ 15 cited

A method using deep learning to discover new predictors of CRT response from mechanical dyssynchrony on gated SPECT MPI

Zhuo He, Xinwei Zhang, Chen Zhao +5

Background. Studies have shown that the conventional left ventricular mechanical dyssynchrony (LVMD) parameters have their own statistical limitations. The purpose of this study is…