Synapse - Harini Veeraraghavan

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

Swin transformers are robust to distribution and concept drift in endoscopy-based longitudinal rectal cancer assessment

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

Predicting the hypoxic volume of head and neck tumors from fluorodeoxyglucose positron emission tomography images using artificial intelligence

Outcomes after radiation for oligoprogressive disease sites in patients with EGFR-mutant lung cancer treated with osimertinib

Deep learning-based automatic detection of B-cell neoplasms in clinical flow cytometry for diagnosis and monitoring of hematological diseases

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

Under-representation for female pelvis cancers in commercial auto-segmentation solutions and open-source imaging datasets

A dose accumulation error estimator for image-guided radiotherapy: Providing an interval on DVH curves