4 papers
Enhanced Portable Ultra Low-Field Diffusion Tensor Imaging with Bayesian Artifact Correction and Deep Learning-Based Super-Resolution
Mark D. Olchanyi, Annabel Sorby-Adams, John Kirsch +7
Portable, ultra-low-field (ULF) magnetic resonance imaging has the potential to expand access to neuroimaging but currently suffers from coarse spatial and angular resolutions and…
TV-based Deep 3D Self Super-Resolution for fMRI
Fernando Pérez-Bueno, Hongwei Bran Li, Matthew S. Rosen +3
While functional Magnetic Resonance Imaging (fMRI) offers valuable insights into cognitive processes, its inherent spatial limitations pose challenges for detailed analysis of the…
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation
Livia Rodrigues, Martina Bocchetta, Oula Puonti +6
The hypothalamus is a small structure located in the center of the brain and is involved in significant functions such as sleeping, temperature, and appetite control. Various neuro…
Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere
Hongwei Bran Li, Cheng Ouyang, Tamaz Amiranashvili +3
Self-supervised contrastive learning has predominantly adopted deterministic methods, which are not suited for environments characterized by uncertainty and noise. This paper intro…