Synapse - Jue Jiang

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

Evaluation of CT-based AI segmentation on ethos hypersight CBCT for head and neck radiotherapy

Robustness of pretrained transformers on lung cancer segmentation with computed tomography scans

Comparison of deep learning network and ants on the registration of MR to PET CT for head and neck cancer patients