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Found 4 papers, 1 papers with code
A Physics-based Generative Model to Synthesize Training Datasets for MRI-based Fat Quantification
Deep learning-based techniques have potential to optimize scan and post-processing times required for MRI-based fat quantification, but they are constrained by the lack of large training datasets.
Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction
Low-dose positron emission tomography (PET) image reconstruction methods have potential to significantly improve PET as an imaging modality.
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
Overall KiTS21 facilitated a significant advancement in the state of the art in kidney tumor segmentation, and provides useful insights that are applicable to the field of semantic segmentation as a whole.
Real-time Spatio-temporal Event Detection on Geotagged Social Media
First, to address the challenge related to the unknown spatial resolution of events, a quad-tree method is exploited in order to split the geographical space into multiscale regions based on the density of social media data.
