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Found 7 papers, 1 papers with code
Echocardiography video synthesis from end diastolic semantic map via diffusion model
Denoising Diffusion Probabilistic Models (DDPMs) have demonstrated significant achievements in various image and video generation tasks, including the domain of medical imaging.
Echocardiography Segmentation Using Neural ODE-based Diffeomorphic Registration Field
In particular, we consider the registration field vector field between frames as a continuous trajectory ODE.
F2SD: A dataset for end-to-end group detection algorithms
To address this, we develop a new, large-scale dataset of simulated images for F-formation detection, called F-formation Simulation Dataset (F2SD).
ViWOZ: A Multi-Domain Task-Oriented Dialogue Systems Dataset For Low-resource Language
To address this problem, we proposed ViWOZ, a fully-annotated Vietnamese task-oriented dialogue dataset.
Simultaneous face detection and 360 degree headpose estimation
To increase the ability to predict the head direction of the model, we change there presentation of the human face from the Euler angle to vectors of the Rotation matrix.
UET-Headpose: A sensor-based top-view head pose dataset
Besides using the UET-Headpose dataset and other head pose datasets, we also introduce the full-range model called FSANet-Wide, which significantly outperforms head pose estimation results by the UET-Headpose dataset, especially on top-view images.
Fully Automated Machine Learning Pipeline for Echocardiogram Segmentation
With the help of the segmentation deep learning model, the assessment of the left ventricle becomes more accessible and accurate.
