Synapse - Jue Jiang

Multi-modality AI predictor of lung cancer immunotherapy treatment response of durable response (DR)

Activating mutations in the MET kinase domain co-occur with other driver oncogenes and mediate resistance to targeted therapy in NSCLC

Large language model trained on clinical oncology data predicts cancer progression

Quantifying uncertainty in lung cancer segmentation with foundation models applied to mixed-domain datasets

Benchmarking transferability of self-supervised pretraining for multi-organ segmentation on different modalities

DCATNet: Polyp segmentation with deformable convolution and contextual-aware attention network

Self-supervised learning improves robustness of deep learning lung tumor segmentation models to CT imaging differences

Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer

Enhancing Swin transformer with semantic attention for explainable prediction: A case study with lung cancer CT images

Deep learning improves registration accuracy for voxel-based radiotherapy outcomes modeling