Biomedical Engineering | Radiation Oncology Comparison of deep-learning multimodality data fusion strategies in mandibular osteoradionecrosis NTCP modelling using clinical variables and radiation dose distribution volumes. October 2, 2024
Cardiology | Radiology Addressing Deep Learning Model Calibration Using Evidential Neural Networks And Uncertainty-Aware Training. September 10, 2024
Oncology | Radiology Effect of synthetic CT on dose-derived toxicity predictors for MR-only prostate radiotherapy. July 1, 2024
Radiology | Speech Therapy Real-time speech MRI datasets with corresponding articulator ground-truth segmentations. December 2, 2023
Critical Care Medicine | Respiratory Medicine Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit. July 1, 2023
Cardiology | Radiology Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. June 16, 2023
Cardiology | Radiology Exploring interpretability in deep learning prediction of successful ablation therapy for atrial fibrillation. March 31, 2023
Radiology | Speech-Language Pathology A segmentation-informed deep learning framework to register dynamic two-dimensional magnetic resonance images of the vocal tract during speech. February 6, 2023
Cardiology | Electrophysiology Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices. November 12, 2022
Cardiology | Radiology A multimodal deep learning model for cardiac resynchronisation therapy response prediction. April 29, 2022
Cardiology | Radiology Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation. April 25, 2022
Radiology | Speech-Language Pathology Deep-learning-based segmentation of the vocal tract and articulators in real-time magnetic resonance images of speech. November 16, 2020