Dexing Kong
Zhejiang Normal University(CN)Zhejiang University(CN)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, AI in cancer detection, Advanced Neural Network Applications, MRI in cancer diagnosis
Most-Cited Works
- → A pre-trained convolutional neural network based method for thyroid nodule diagnosis(2016)263 cited
- → MTANet: Multi-Task Attention Network for Automatic Medical Image Segmentation and Classification(2023)123 cited
- → Use of diffusion kurtosis imaging and quantitative dynamic contrast‐enhanced MRI for the differentiation of breast tumors(2018)45 cited
- → MEF-UNet: An end-to-end ultrasound image segmentation algorithm based on multi-scale feature extraction and fusion(2024)45 cited
- → White matter impairment in type 2 diabetes mellitus with and without microvascular disease(2019)37 cited
- → Histogram analysis of diffusion kurtosis imaging based on whole‐volume images of breast lesions(2019)35 cited
- → Automatic segmentation of levator hiatus from ultrasound images using U-net with dense connections(2019)29 cited
- → Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation(2021)24 cited
- → A Semiautomated Deep Learning Approach for Pancreas Segmentation(2021)24 cited
- → Automatic liver segmentation using 3D convolutional neural networks with a hybrid loss function(2021)22 cited