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Oncology | Radiology HRU-Net: A high-resolution convolutional neural network for esophageal cancer radiotherapy target segmentation. April 22, 2024
Medical Imaging | Radiation Oncology A deep learning model for translating CT to ventilation imaging: analysis of accuracy and impact on functional avoidance radiotherapy planning. March 27, 2024
Radiation Oncology | Radiology CT synthesis from MR images using frequency attention conditional generative adversarial network. January 29, 2024
Medical Imaging | Radiology Quaternion Cross-modality Spatial Learning for Multi-modal Medical Image Segmentation. December 25, 2023
Neurology | Radiology Dual contrast attention-guided multi-frequency fusion for multi-contrast MRI super-resolution. November 9, 2023
Ophthalmology Deep Learning-Based Model for Automatic Assessment of Anterior Angle Chamber in Ultrasound Biomicroscopy. September 20, 2023
Oncology | Radiology Breast cancer diagnosis from contrast-enhanced mammography using multi-feature fusion neural network. August 23, 2023
Oncology | Radiology Deep learning-based combination of [18F]-FDG PET and CT images for producing pulmonary perfusion image. June 30, 2023
Medical Imaging | Radiation Oncology Patient-specific Daily Updated Deep Learning Auto-Segmentation for MRI-Guided Adaptive Radiotherapy. November 14, 2022