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Found 6 papers, 2 papers with code
Path and Bone-Contour Regularized Unpaired MRI-to-CT Translation
To enhance the accuracy of translated bone structures, we introduce a trainable neural network to generate bone contours from MRI and implement mechanisms to directly and indirectly encourage the model to focus on bone contours and their adjacent regions.
DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI
To do so, we design an evidence-based ensemble learning framework for uncertainty-aware parcellation to leverage the multiple dMRI parameters derived from diffusion MRI.
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction
Magnetic Resonance Imaging (MRI) is a widely used imaging technique, however it has the limitation of long scanning time.
DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography
The retinogeniculate pathway (RGVP) is responsible for carrying visual information from the retina to the lateral geniculate nucleus.
3D Shapes Local Geometry Codes Learning with SDF
We propose Local Geometry Code Learning (LGCL), a model that improves the original DeepSDF results by learning from a local shape geometry of the full 3D shape.
Index Selection for NoSQL Database with Deep Reinforcement Learning
We propose a new approach of NoSQL database index selection.
