A multi-contrast self-supervised MRI reconstruction framework with end-to-end learned k-space partitioning produces higher-fidelity images than single-contrast self-supervised baselines on two public datasets.
Adaptive Scheduling MAC Protocol in Underwater Acoustic Broadcast Communications for AUV Formation
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
ROS-DESERT middleware enables depth-adaptive AUV coordination for improved acoustic connectivity, with sea trials showing packet reception gains at 1 km range but not at shorter distances.
citing papers explorer
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Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning
A multi-contrast self-supervised MRI reconstruction framework with end-to-end learned k-space partitioning produces higher-fidelity images than single-contrast self-supervised baselines on two public datasets.
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Sea Trial Validation of the ROS-DESERT Middleware with Autonomous Underwater Vehicles
ROS-DESERT middleware enables depth-adaptive AUV coordination for improved acoustic connectivity, with sea trials showing packet reception gains at 1 km range but not at shorter distances.