Lequan Yu
Tianjin University of Traditional Chinese Medicine(CN)Chinese University of Hong Kong(HK)University of Hong Kong(HK)
Publications by Year
Research Areas
Advanced Neural Network Applications, AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Medical Image Segmentation Techniques, Domain Adaptation and Few-Shot Learning
Most-Cited Works
- → Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks(2016)1,118 cited
- → Uncertainty-Aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation(2019)929 cited
- → VoxResNet: Deep voxelwise residual networks for brain segmentation from 3D MR images(2017)782 cited
- → Automatic Detection of Cerebral Microbleeds From MR Images via 3D Convolutional Neural Networks(2016)681 cited
- → PU-Net: Point Cloud Upsampling Network(2018)645 cited
- → 3D deeply supervised network for automated segmentation of volumetric medical images(2017)628 cited
- → Multilevel Contextual 3-D CNNs for False Positive Reduction in Pulmonary Nodule Detection