Baiying Lei
Shenzhen University(CN)Shenzhen University Health Science Center(CN)
Publications by Year
Research Areas
AI in cancer detection, Brain Tumor Detection and Classification, Functional Brain Connectivity Studies, Retinal Imaging and Analysis, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Deep Learning in Medical Ultrasound Analysis: A Review(2019)759 cited
- → FAT-Net: Feature adaptive transformers for automated skin lesion segmentation(2021)525 cited
- → Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning(2015)277 cited
- → Skin lesion segmentation via generative adversarial networks with dual discriminators(2020)273 cited
- → Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM(2019)273 cited
- → Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review(2019)265 cited
- → Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features