research
∙
06/16/2021
Deformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy
Purpose: Radiotherapy presents unique challenges and clinical requiremen...
share
research
∙
03/09/2021
Multitask 3D CBCT-to-CT Translation and Organs-at-Risk Segmentation Using Physics-Based Data Augmentation
Purpose: In current clinical practice, noisy and artifact-ridden weekly ...
research
∙
06/28/2020
Generalizable Cone Beam CT Esophagus Segmentation Using In Silico Data Augmentation
Lung cancer radiotherapy entails high quality planning computed tomograp...
research
∙
01/31/2019
Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets
Lack of large expert annotated MR datasets makes training deep learning ...
research
∙
01/29/2019