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Found 5 papers, 0 papers with code
CT Synthesis with Conditional Diffusion Models for Abdominal Lymph Node Segmentation
To address these problems, we present a pipeline that integrates the conditional diffusion model for lymph node generation and the nnU-Net model for lymph node segmentation to improve the segmentation performance of abdominal lymph nodes through synthesizing a diversity of realistic abdominal lymph node data.
Adaptive Modulation for Wobbling UAV Air-to-Ground Links in Millimeter-wave Bands
Based on the designed detectors, we propose an adaptive modulation scheme to maximize the average transmission rate under imperfect CSI by optimizing the data transmission time subject to the maximum tolerable BEP.
Consistent Depth Prediction under Various Illuminations using Dilated Cross Attention
In this paper, we aim to solve the problem of consistent depth prediction in complex scenes under various illumination conditions.
Impact of Rotary-Wing UAV Wobbling on Millimeter-wave Air-to-Ground Wireless Channel
Our contributions of this paper lie in: i) modeling the wobbling process of a hovering RW UAV; ii) developing an analytical model to derive the channel temporal autocorrelation function (ACF) for the millimeter-wave RW UAV A2G link in a closed-form expression; and iii) investigating how RW UAV wobbling impacts the Doppler effect on the millimeter-wave RW UAV A2G link.
Multi-Scale Progressive Fusion Learning for Depth Map Super-Resolution
Next, we propose a step-wise fusion strategy to restore the HR depth map.
