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Found 11 papers, 6 papers with code
Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning
We first extend the application of dynamic pricing to a continuous pricing action space.
Model-Based Reconstruction for Simultaneous Multi-Slice T1 Mapping using Single-Shot Inversion-Recovery Radial FLASH
Validations of the proposed method are performed for a phantom and for the human brain and liver in six healthy adult subjects.
Medical Physics Image and Video Processing
Dynamic Pricing on E-commerce Platform with Deep Reinforcement Learning: A Field Experiment
Field experiment results suggest that DRCR is a more appropriate reward function than revenue, which is widely used by current literature.
Physics-based Reconstruction Methods for Magnetic Resonance Imaging
Conventional Magnetic Resonance Imaging (MRI) is hampered by long scan times and only qualitative image contrasts that prohibit a direct comparison between different systems.
Learning to Solve an Order Fulfillment Problem in Milliseconds with Edge-Feature-Embedded Graph Attention
Such a problem is computationally hard to address by exact mathematical programming methods.
WKGM: Weight-K-space Generative Model for Parallel Imaging Reconstruction
Deep learning based parallel imaging (PI) has made great progresses in recent years to accelerate magnetic resonance imaging (MRI).
SSL-QALAS: Self-Supervised Learning for Rapid Multiparameter Estimation in Quantitative MRI Using 3D-QALAS
Conclusion: The proposed SSL-QALAS method enabled rapid reconstruction of multiparametric maps from 3D-QALAS measurements without an external dictionary or labeled ground-truth training data.
Zero-DeepSub: Zero-Shot Deep Subspace Reconstruction for Rapid Multiparametric Quantitative MRI Using 3D-QALAS
Using an ISMRM/NIST system phantom, the accuracy and reproducibility of the T1 and T2 maps estimated using the proposed methods were evaluated by comparing them with reference techniques.
Generative Image Priors for MRI Reconstruction Trained from Magnitude-Only Images
Purpose: In this work, we present a workflow to construct generic and robust generative image priors from magnitude-only images.
Improved Multi-Shot Diffusion-Weighted MRI with Zero-Shot Self-Supervised Learning Reconstruction
In this study, we introduce a novel msEPI reconstruction approach called zero-MIRID (zero-shot self-supervised learning of Multi-shot Image Reconstruction for Improved Diffusion MRI).
Learning to Retrieve for Job Matching
Web-scale search systems typically tackle the scalability challenge with a two-step paradigm: retrieval and ranking.
