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