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Found 8 papers, 3 papers with code
Morphological-consistent Diffusion Network for Ultrasound Coronal Image Enhancement
Ultrasound curve angle (UCA) measurement provides a radiation-free and reliable evaluation for scoliosis based on ultrasound imaging.
Encoding Urban Ecologies: Automated Building Archetype Generation through Self-Supervised Learning for Energy Modeling
As the global population and urbanization expand, the building sector has emerged as the predominant energy consumer and carbon emission contributor.
Jenga Stacking Based on 6D Pose Estimation for Architectural Form Finding Process
This paper includes a review of current state of the art 6d pose estimation methods, as well as a discussion of which pose estimation method should be used in two types of architectural design scenarios.
Can Machine Learning Uncover Insights into Vehicle Travel Demand from Our Built Environment?
In this paper, we propose a machine learning-based approach to address the lack of ability for designers to optimize urban land use planning from the perspective of vehicle travel demand.
MARL: Multi-scale Archetype Representation Learning for Urban Building Energy Modeling
Building archetypes, representative models of building stock, are crucial for precise energy simulations in Urban Building Energy Modeling.
Robust 6DoF Pose Estimation Against Depth Noise and a Comprehensive Evaluation on a Mobile Dataset
In this paper, we extensively investigate the robustness of existing RGBD-based 6DoF pose estimation methods against varying levels of depth sensor noise.
Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise
In this paper, we propose a robust bone feature segmentation method based on the U-net structure for ultrasound spine Volume Projection Imaging (VPI) images.
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images
Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been annotated at voxel-level by a human-machine hybrid algorithm (https://osf. io/nqjyw/, https://osf. io/t98fz/).
