most citedDeformation Driven Seq2Seq Longitudinal Tumor and Organs-at-Risk Prediction for Radiotherapy

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eess.IV2021

Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation

Jue Jiang, Sadegh Riyahi Alam, Ishita Chen +4

Despite the widespread availability of in-treatment room cone beam computed tomography (CBCT) imaging, due to the lack of reliable segmentation methods, CBCT is only used for gross…

eess.IV2020

Generalizable Cone Beam CT Esophagus Segmentation Using Physics-Based Data Augmentation

Sadegh R Alam, Tianfang Li, Pengpeng Zhang +2

Automated segmentation of esophagus is critical in image guided/adaptive radiotherapy of lung cancer to minimize radiation-induced toxicities such as acute esophagitis. We develope…