2024
Predicting Lung Nodule Growth from Follow-up CT Scans with Deep Isotropic Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

PN-Quant: An Automated Pulmonary Nodule Quantification Method for Full-Size CT Scans.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

SCS-Voxel2Mesh: a Self-Calibrated Separable 3D Mesh Generation Network for Lung Nodule Spikes Classification and Malignancy Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
DFNodule: a Novel Deformable Faster R-CNN for Lung Nodule Detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

ConvUNET: a Novel Depthwise Separable ConvNet for Lung Nodule Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

DR-ConvNeXt: A Dilated Residual Network based on ConvNeXt for Lung Nodule Features Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

CPAConv-POCO:a Continuous Position Adaptive Convolution based POCO for lung nodule 3D Reconstruction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2021
HAUNet-3D: a Novel Hierarchical Attention 3D UNet for Lung Nodule Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021