HAUNet-3D: a Novel Hierarchical Attention 3D UNet for Lung Nodule Segmentation. - Fu Zhou; Fei Luo 004; Kafui Efio-Akolly; Ronald Bbosa; Wen Cai Huang; Jia Ni Zou; Yi-Ping Phoebe Chen; Feng Liu (BIBM, 2021)

CPAConv-POCO:a Continuous Position Adaptive Convolution based POCO for lung nodule 3D Reconstruction. - Ao Jiang; Feng Liu; Yun Zhang; Ruoshan Kong; Fei Luo 004; Wen Cai Huang; Jia Ni Zou (BIBM, 2023)

DR-ConvNeXt: A Dilated Residual Network based on ConvNeXt for Lung Nodule Features Prediction. - Zehao Qi; GuoWei Tao; Feng Liu; Hao Gui; Wen Cai Huang; Jia Ni Zou (BIBM, 2023)

ConvUNET: a Novel Depthwise Separable ConvNet for Lung Nodule Segmentation. - Xinkai Tang; Feng Liu; Ruoshan Kong; Fei Luo 004; Wen Cai Huang; Jia Ni Zou (BIBM, 2023)

DFNodule: a Novel Deformable Faster R-CNN for Lung Nodule Detection. - GuoWei Tao; Fu Zhou; Feng Liu; Hao Gui; Fei Luo 004; Wen Cai Huang; Jia Ni Zou; Yi-Ping Phoebe Chen (BIBM, 2023)

SCS-Voxel2Mesh: a Self-Calibrated Separable 3D Mesh Generation Network for Lung Nodule Spikes Classification and Malignancy Prediction. - Ronald Bbosa; Jia Ni Zou; Kafui Efio-Akolly; Yi-Ping Phoebe Chen; Wen Cai Huang; Feng Liu (BIBM, 2024)

Predicting Lung Nodule Growth from Follow-up CT Scans with Deep Isotropic Network. - Ruobing Wang; Zehao Qi; Shengjuan Guo; Jia Ni Zou; Feng Liu; Wen Cai Huang (BIBM, 2024)