Wave-equation migration velocity analysis applied to medical ultrasound corrects sound speed aberrations, improving point target resolution from 1.22 mm to 0.32 mm and lesion contrast from 3.05 dB to 4.39 dB in phantom experiments.
Title resolution pending
3 Pith papers cite this work. Polarity classification is still indexing.
representative citing papers
GATO is a new batched GPU trajectory optimization solver that achieves real-time MPC throughput with 18-21x speedups over CPU baselines for tens to low-hundreds of simultaneous solves.
An approximate but tractable scheduler for multi-cell MU-MIMO with carrier aggregation and joint transmission maximizes throughput under QoS constraints by leveraging eigen-based zero-forcing beamforming and massive MIMO asymptotics.
citing papers explorer
-
Wave-Equation Migration Velocity Analysis for Multistatic Synthetic Aperture Ultrasound
Wave-equation migration velocity analysis applied to medical ultrasound corrects sound speed aberrations, improving point target resolution from 1.22 mm to 0.32 mm and lesion contrast from 3.05 dB to 4.39 dB in phantom experiments.
-
GATO: GPU-Accelerated and Batched Trajectory Optimization for Scalable Edge Model Predictive Control
GATO is a new batched GPU trajectory optimization solver that achieves real-time MPC throughput with 18-21x speedups over CPU baselines for tens to low-hundreds of simultaneous solves.
-
QoS-Constrained Scheduling in Multi-Cell Multi-User MIMO Networks
An approximate but tractable scheduler for multi-cell MU-MIMO with carrier aggregation and joint transmission maximizes throughput under QoS constraints by leveraging eigen-based zero-forcing beamforming and massive MIMO asymptotics.