Wang, Yuanyuan

Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer

Zheng, X., Yao, Z., Huang, Y., Yu, Y., Wang, Y., Liu, Y., Mao, R., Li, F., Xiao, Y., Wang, Y., et al. (2020) · Nature Communications

Radiomics and Machine Learning in Medical ImagingUltrasound Imaging and Elastography

Cited by 607

Complement C1q-dependent excitatory and inhibitory synapse elimination by astrocytes and microglia in Alzheimer’s disease mouse models

Dejanovic, B., Wu, T., Tsai, M.-C., Graykowski, D., Gandham, V. D., Rose, C. M., Bakalarski, C. E., Ngu, H., Wang, Y., Pandey, S., et al. (2022) · Nature Aging

Neuroinflammation and Neurodegeneration MechanismsAlzheimer's disease research and treatments

Cited by 341

Segmentation of fetal left ventricle in echocardiographic sequences based on dynamic convolutional neural networks

Yu, L., Guo, Y., Wang, Y., Yu, J., & Chen, P. (2017) · IEEE Transactions on Biomedical Engineering

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 96

Automatic Detection of Standard Sagittal Plane in the First Trimester of Pregnancy Using 3-D Ultrasound Data

Nie, S., Yu, J., Chen, P., Wang, Y., & Zhang, J. Q. (2017) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesPrenatal Screening and Diagnostics

Cited by 42

Burden of symptoms associated with development of metastatic bone disease in patients with breast cancer

Cleeland, C., von Moos, R., Walker, M. S., Wang, Y., Gao, J., Chavez-MacGregor, M., Liede, A., Arellano, J., Balakumaran, A., & Qian, Y. (2016) · Supportive Care in Cancer

Cancer survivorship and careBone health and treatments

Cited by 41

A hierarchical model for automatic nuchal translucency detection from ultrasound images

Deng, Y., Wang, Y., Chen, P., & Yu, J. (2012) · Computers in Biology and Medicine

Medical Image Segmentation TechniquesPrenatal Screening and Diagnostics

Cited by 31

Towards an IoT-based upper limb rehabilitation assessment system

Jiang, Y., Qin, Y., Kim, I., & Wang, Y. (2017) · 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Stroke Rehabilitation and RecoveryContext-Aware Activity Recognition Systems

Cited by 26

TN‐USMA Net: Triple normalization‐based gastrointestinal stromal tumors classification on multicenter EUS images with ultrasound‐specific pretraining and meta attention

Liu, C., Qiao, M., Jiang, F., Guo, Y., Jin, Z., & Wang, Y. (2021) · Medical Physics

AI in cancer detectionGastrointestinal Tumor Research and Treatment

Cited by 22

Road Scene Multi-Object Detection Algorithm Based on CMS-YOLO

Lv, Z., Wang, R., Wang, Y., Zhou, F., & Guo, N. (2023) · IEEE Access

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 17

A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images

Chen, P., Chen, Y., Deng, Y., Wang, Y., He, P., Lv, X., & Yu, J. (2020) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 15

GMRLNet: A Graph-Based Manifold Regularization Learning Framework for Placental Insufficiency Diagnosis on Incomplete Multimodal Ultrasound Data

Jiao, J., Sun, H., Huang, Y., Xia, M., Qiao, M., Ren, Y., Wang, Y., & Guo, Y. (2023) · IEEE Transactions on Medical Imaging

Pregnancy and preeclampsia studiesArtificial Intelligence in Healthcare

Cited by 15

Multimodal fusion model for classifying placenta ultrasound imaging in pregnancies with hypertension disorders

Sun, H., Jiao, J., Ren, Y., Guo, Y., & Wang, Y. (2023) · Pregnancy Hypertension

Pregnancy and preeclampsia studiesArtificial Intelligence in Healthcare

Cited by 10

Ultrasound-based radiomics technology in fetal lung texture analysis prediction of neonatal respiratory morbidity

Du, Y., Jiao, J., Ji, C., Li, M., Guo, Y., Wang, Y., Zhou, J., & Ren, Y. (2022) · Scientific Reports

Radiomics and Machine Learning in Medical ImagingNeonatal Respiratory Health Research

Cited by 10

Model application to quantitatively evaluate placental features from ultrasound images with gestational diabetes

Sun, H., Jiao, J., Ren, Y., Guo, Y., & Wang, Y. (2022) · Journal of Clinical Ultrasound

Gestational Diabetes Research and ManagementArtificial Intelligence in Healthcare

Cited by 7