Jul 2, 2020 · In this work, we systematically extend 3D CNNs to 4D spatio-temporal CNNs to evaluate the impact of additional temporal information for marker object tracking.

Sep 17, 2020 · In this work, we systematically extend 3D CNNs to 4D spatio-temporal data processing and evaluate whether a stream of OCT volumes improves object position ...

Jul 2, 2020 · This approach employed 3D CNNs on a single volumetric image, allowing to turn arbitrary small objects into a marker for pose estimation. However ...

Across various architectures, the results demonstrate that using a stream of OCT volumes and employing 4D spatio-temporal convolutions leads to a 30% lower ...

Oct 22, 2024 · Methods We investigate whether using a temporal stream of OCT image volumes can improve deep learning-based motion estimation performance. For ...

Across various architectures, our results demonstrate that using a stream of OCT volumes and employing 4D spatio-temporal convolutions leads to a 30% lower ...

We propose 4D spatio-temporal deep learning for end-to-end motion forecasting and estimation using a stream of OCT volumes. We design and evaluate five ...

In this work, we extend the problem of deep learning-based force estimation to 4D spatio-temporal data with streams of 3D OCT volumes.

Apr 21, 2020 · We investigate whether using a temporal stream of OCT image volumes can improve deep learning-based motion estimation performance. For this ...

4D spatio-temporal deep learning for OCT-based motion estimation is proposed and it is found that using 4D information for the model input improves ...