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Medical Imaging | Radiation Oncology Deep cross-modality (MR-CT) educed distillation learning for cone beam CT lung tumor segmentation. April 27, 2021
Radiation Oncology | Radiology Cardio-pulmonary substructure segmentation of radiotherapy computed tomography images using convolutional neural networks for clinical outcomes analysis. January 18, 2021
Medical Physics | Radiation Oncology Technical Note: 3D localization of lung tumors on cone beam CT projections via a convolutional recurrent neural network. January 3, 2020
Deep Learning | Medical Imaging | Radiation Oncology Towards Predicting the Evolution of Lung Tumors During Radiotherapy Observed on a Longitudinal MR Imaging Study Via a Deep Learning Algorithm. August 14, 2019
Medical Imaging | Radiation Oncology Cross-modality (CT-MRI) prior augmented deep learning for robust lung tumor segmentation from small MR datasets. July 5, 2019
Medical Imaging | Radiation Oncology Segmenting lung tumors on longitudinal imaging studies via a patient-specific adaptive convolutional neural network. February 18, 2019
Oncology | Radiology Tumor-aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation. January 10, 2019