Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization

Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualization

Airborne optical sectioning, an effective aerial synthetic aperture imaging technique for revealing artifacts occluded by forests, requires precise measurements of drone poses. In this article we present a new approach for reducing pose estimation errors beyond the possibilities of conventional Perspective-n-Point solutions by considering the underlying optimization as a focusing problem. We present an efficient image integration technique, which also reduces the parameter search space to achieve realistic processing times, and improves the quality of resulting synthetic integral images.

用于3D医学图像分割与可视化的Transformer-卷积网络多孔径融合（MFTC-Net）

Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization

本研究提出MFTC-Net，通过3D融合块整合Swin Transformers与卷积块输出，结合图像块原始分辨率与金字塔表示，在Synapse数据集上以约4000万参数实现89.73的Dice得分，提升了3D医学图像分割性能。

MedVA：一种用于医学体数据可视化的端到端神经符号智能体系统

MedVA: An End-to-End Neuro-Symbolic Agentic System for Medical Volume Visualization

MedVA是用于医学体数据可视化的端到端神经符号智能体系统，通过三个互补智能体解决MLLM推理在ROI识别和可视化优化中的不足，实验和用户研究验证了其有效性。

Polarimetric SAR Image Smoothing with Stochastic Distances

Polarimetric Synthetic Aperture Radar (PolSAR) images are establishing as an important source of information in remote sensing applications. The most complete format this type of imaging produces consists of complex-valued Hermitian matrices in every image coordinate and, as such, their visualization is challenging. They also suffer from speckle noise which reduces the signal-to-noise ratio. Smoothing techniques have been proposed in the literature aiming at preserving different features and, analogously, projections from the cone of Hermitian positive matrices to different color representatio…

合成孔径雷达图像异常检测（SARIAD）算法的基准测试套件

Benchmarking Suite for Synthetic Aperture Radar Imagery Anomaly Detection (SARIAD) Algorithms

针对SAR图像异常检测缺乏开发和基准测试方法的问题，该研究引入SARIAD基准测试套件，结合Anomalib库提供算法、数据集、指标及可视化功能，支持SAR图像异常检测方法的开发与评估。

用于维持治疗器械尖端持续可见性的心内超声心动图操控引导

Guidance for Intra-cardiac Echocardiography Manipulation to Maintain Continuous Therapy Device Tip Visibility

本文提出一种AI驱动跟踪模型，通过估计ICE成像平面内治疗器械尖端的入射角和通过点，结合混合数据集与超声基础模型，实现心内超声心动图的机器人操控引导，以维持器械尖端持续可见性并减少操作员负担。