Ni, Dong

Deep Learning in Medical Ultrasound Analysis: A Review

Liu, S., Wang, Y., Yang, X., Lei, B., Liu, L., Li, S. X., Ni, D., & Wang, T. (2019) · Engineering

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 798

Computer-aided diagnosis with deep learning architecture: applications to breast lesions in US images and pulmonary nodules in CT scans

Cheng, J.-Z., Ni, D., Chou, Y.-H., Qin, J., Tiu, C.-M., Chang, Y.-C., Huang, C.-S., Shen, D., & Chen, C.-M. (2016) · Scientific Reports

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 755

Segment anything model for medical images?

Huang, Y., Yang, X., Liu, L., Zhou, H., Chang, A., Zhou, X., Chen, R., Yu, J., Chen, J., Chen, C., et al. (2024) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 536

Standard Plane Localization in Fetal Ultrasound via Domain Transferred Deep Neural Networks

Chen, H., Ni, D., Qin, J., Li, S., Yang, X., Wang, T., & Heng, P. A. (2015) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 379

FUIQA: Fetal Ultrasound Image Quality Assessment with Deep Convolutional Networks

Wu, L., Cheng, J.-Z., Li, S., Lei, B., Wang, T., & Ni, D. (2017) · IEEE Transactions on Cybernetics

Image and Video Quality AssessmentMedical Image Segmentation Techniques

Cited by 242

Automatic Fetal Ultrasound Standard Plane Detection Using Knowledge Transferred Recurrent Neural Networks

Chen, H., Dou, Q., Ni, D., Cheng, J.-Z., Qin, J., Li, S., & Heng, P.-A. (2015) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 180

Ultrasound Standard Plane Detection Using a Composite Neural Network Framework

Chen, H., Wu, L., Dou, Q., Qin, J., Li, S., Cheng, J.-Z., Ni, D., & Heng, P.-A. (2017) · IEEE Transactions on Cybernetics

Medical Image Segmentation TechniquesPrenatal Screening and Diagnostics

Cited by 164

Multi-task learning for quality assessment of fetal head ultrasound images

Lin, Z., Li, S., Ni, D., Liao, Y., Wen, H., Du, J., Chen, S., Wang, T., & Lei, B. (2019) · Medical Image Analysis

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 129

Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting

Li, J., Wang, Y., Lei, B., Cheng, J.-Z., Qin, J., Wang, T., Li, S., & Ni, D. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 120

Towards automated semantic segmentation in prenatal volumetric ultrasound

Yang, X., Yu, L., Li, S., Wen, H., Luo, D., Bian, C., Qin, J., Ni, D., & Heng, P.-A. (2019) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 115

A Deep Convolutional Neural Network-Based Framework for Automatic Fetal Facial Standard Plane Recognition

Yu, Z., Tan, E.-L., Ni, D., Qin, J., Chen, S., Li, S., Lei, B., & Wang, T. (2018) · IEEE Journal of Biomedical and Health Informatics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 109

Standard Plane Localization in Ultrasound by Radial Component Model and Selective Search

Ni, D., Yang, X., Chen, X., Chin, C.-T., Chen, S., Heng, P. A., Li, S., Qin, J., & Wang, T. (2014) · Ultrasound in Medicine & Biology

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 65

Towards Automatic Semantic Segmentation in Volumetric Ultrasound

Yang, X., Yu, L., Li, S., Wang, X., Wang, N., Qin, J., Ni, D., & Heng, P.-A. (2017) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 61

Automatic Recognition of Fetal Facial Standard Plane in Ultrasound Image via Fisher Vector

Lei, B., Tan, E.-L., Chen, S., Zhuo, L., Li, S., Ni, D., & Wang, T. (2015) · PLOS ONE

Medical Image Segmentation TechniquesImage Retrieval and Classification Techniques

Cited by 43

Selective Search and Sequential Detection for Standard Plane Localization in Ultrasound

Ni, D., Li, T., Yang, X., Qin, J., Li, S., Chin, C.-T., Ouyang, S., Wang, T., & Chen, S. (2013) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 33

Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound

Yang, X., Dou, H., Huang, R., Xue, W., Huang, Y., Qian, J., Zhang, Y., Luo, H., Guo, H., Wang, T., et al. (2021) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 32

Discriminative Learning for Automatic Staging of Placental Maturity via Multi-layer Fisher Vector

Lei, B., Yao, Y., Chen, S., Li, S., Li, W., Ni, D., & Wang, T. (2015) · Scientific Reports

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 28

Fetal facial standard plane recognition via very deep convolutional networks

Yu, Z., Ni, D., Chen, S., Li, S., Wang, T., & Lei, B. (2016) · 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 22

Automatic staging of placental maturity based on dense descriptor

Li, X., Yao, Y., Ni, D., Chen, S., Li, S., Lei, B., & Wang, T. (2014) · Bio-Medical Materials and Engineering

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 12

Automatic grading of placental maturity based on LIOP and fisher vector

Lei, B., Li, X., Yao, Y., Li, S., Chen, S., Zhou, Y., Ni, D., & Wang, T. (2014) · 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Image Retrieval and Classification TechniquesMedical Image Segmentation Techniques

Cited by 8

Automatic placental maturity grading via hybrid learning

Lei, B., Tan, E.-L., Chen, S., Li, W., Ni, D., Yao, Y., & Wang, T. (2017) · Neurocomputing

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 5

Hybrid descriptor for placental maturity grading

Lei, B., Jiang, F., Zhou, F., Ni, D., Yao, Y., Chen, S., & Wang, T. (2020) · Multimedia Tools and Applications

Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques

Cited by 3

Automatic Placental Maturity Grading via Deep Convolutional Networks

Lei, B., Jiang, F., Yao, Y., Li, W., Chen, S., Ni, D., & Wang, T. (2022) · Recent Advances in Information, Communications and Signal Processing

Artificial Intelligence in HealthcareMedical Image Segmentation Techniques

Cited by 0