Shaode Yu (0000-0002-3412-2159)

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Shaode Yu joined Communication University of China as a Lecturer in 09/2020. He obtained his B.S. and M.S. degree from Beijing Normal University, and his PhD degree from University of Chinese Academy of Sciences. He used to be a research associate and assitant professor at Shenzhen Institutes of Advanced Technology, a visting scholar at Wayne State University, and a post-doctoral fellow at University of Texas Southwestern Medical Center. His research interests include machine learning, biomedical engineering and image analysis.

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Communication University of China: Beijing, BJ, CN

2020-09-04 to present | Lecturer (School of Information and Communication Engineering)

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Shaode Yu

https://orcid.org/0000-0002-3412-2159

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Employment (5)

Communication University of China: Beijing, BJ, CN

University of Texas: Dallas, TX, US

Shenzhen Institutes of Advanced Technology: Shenzhen, GD, CN

Shenzhen Institutes of Advanced Technology: Shenzhen, GD, CN

Huawei Technologies Co Ltd: Shenzhen, Guangdong, CN

Education and qualifications (3)

University of Chinese Academy of Sciences: Shenzhen, GD, CN

Beijing Normal University: Beijing, BJ, CN

Beijing Normal University: Beijing, BJ, CN

Works (50 of 56)

Three-Dimensional Automated Breast Ultrasound (ABUS) Tumor Classification Using a 2D-Input Network: Soft Voting or Hard Voting?

Effectiveness of nnU-Net on three-dimensional automated breast ultrasound (ABUS) lesion segmentation

Review of Phonocardiogram Signal Analysis: Insights from the PhysioNet/CinC Challenge 2016 Database

Speech Emotion Recognition Using Dual-Stream Representation and Cross-Attention Fusion

No-reference image sharpness assessment via elastic net based mid-level feature selection

Eclipse web service application programming interface

Contrastive Learning Penalized Cross-Entropy with Diversity Contrastive Search Decoding for Diagnostic Report Generation of Reduced Token Repetition

A Real-life Chinese Dishes Recognition System Evolved from Full Training to Transfer Learning and Domain Adaptation

A hybrid indicator for realistic blurred image quality assessment

No-reference video quality assessment based on modeling temporal-memory effects

Self-supervised CT super-resolution with hybrid model

Salient Region Guided Blind Image Sharpness Assessment

matFR: a MATLAB toolbox for feature ranking

Robustness study of noisy annotation in deep learning based medical image segmentation

Altered global synchronizations in patients with Parkinson's disease: A resting-state fMRI study

Intermittent theta-burst stimulation reverses the after-effects of contralateral virtual lesion on the suprahyoid muscle cortex: Evidence from dynamic functional connectivity analysis

Scatter correction for a clinical cone-beam CT system using an optimized stationary beam blocker in a single scan

Transferring deep neural networks for the differentiation of mammographic breast lesions

A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis

A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images

Can Signal-to-Noise Ratio Perform as a Baseline Indicator for Medical Image Quality Assessment

Comparison of activation functions in a shallow convolutional neural network for natural image sharpness assessment

Using signal-to-noise ratio to connect the quality assessment of natural and medical images

Investigation on the Neural Mechanism of Hypnosis-Based Respiratory Control Using Functional MRI

Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination

Alterations of the amplitude of low-frequency fluctuation in healthy subjects with theta-burst stimulation of the cortex of the suprahyoid muscles

Automatic Segmentation of Ultrasound Tomography Image

Breast mass lesion classification in mammograms by transfer learning

CNN-GRNN for image sharpness assessment

Erratum to “Automatic Segmentation of Ultrasound Tomography Image”

Evaluation of no-reference models to assess image sharpness

Evaluation of realistic blurring image quality by using a shallow convolutional neural network

Iterative image-domain ring artifact removal in cone-beam CT

Efficient Segmentation of a Breast in B-Mode Ultrasound Tomography Using Three-Dimensional GrabCut (GC3D)

A shallow convolutional neural network for blind image sharpness assessment

A novel design of ultrafast micro-CT system based on carbon nanotube: A feasibility study in phantom

Decreased subcortical and increased cortical degree centrality in a nonclinical college student sample with subclinical depressive symptoms: A resting-state fMRI study

Edge preservation ratio for image sharpness assessment

Estimating fetal brain motion with total-variation-based magnetic resonance image registration

Explicit vascular reconstruction based on adjacent vector projection

Improved grabCut for human brain computerized tomography image segmentation

Real-time patient table removal in CT images

Signal correlation measure in multi-echo T<inf>2</inf>∗-w MR images

Increased interhemispheric functional connectivity in college students with non-clinical depressive symptoms in resting state

Linear-fitting-based similarity coefficient map for tissue dissimilarity analysis in T <inf>2</inf> 2-w magnetic resonance imaging

Applications of edge preservation ratio in image processing

Feasibility study of signal similarity measurements for improving morphological evaluation of human brain with images from multi-echo T2-star weighted MR sequences

An edge-directed interpolation method for fetal spine MR images

Automatic mapping extraction from multiecho T2-star weighted magnetic resonance images for improving morphological evaluations in human brain

Feature and Contrast Enhancement of Mammographic Image Based on Multiscale Analysis and Morphology

Peer review (4 reviews for 3 publications/grants)