activity
20202024
most citedLong-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

20 citations · 50 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024★ 1 cited

Illumination Histogram Consistency Metric for Quantitative Assessment of Video Sequences

Long Chen, Mobarakol Islam, Matt Clarkson +1

The advances in deep generative models have greatly accelerate the process of video procession such as video enhancement and synthesis. Learning spatio-temporal video models requir…

cs.CV2024★ 1 cited

An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion

Sharib Ali, Yamid Espinel, Yueming Jin +17

Augmented reality for laparoscopic liver resection is a visualisation mode that allows a surgeon to localise tumours and vessels embedded within the liver by projecting them on top…

eess.IV2023★ 20 cited

Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

Qi Li, Ziyi Shen, Qian Li +5

Objective: Reconstructing freehand ultrasound in 3D without any external tracker has been a long-standing challenge in ultrasound-assisted procedures. We aim to define new ways of…

cs.CV2023★ 1 cited

Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction

Qi Li, Ziyi Shen, Qian Li +5

Three-dimensional (3D) freehand ultrasound (US) reconstruction without using any additional external tracking device has seen recent advances with deep neural networks (DNNs). In t…

eess.IV2022★ 14 cited

Trackerless freehand ultrasound with sequence modelling and auxiliary transformation over past and future frames

Qi Li, Ziyi Shen, Qian Li +5

Three-dimensional (3D) freehand ultrasound (US) reconstruction without a tracker can be advantageous over its two-dimensional or tracked counterparts in many clinical applications.…

cs.CV2020★ 13 cited

Intraoperative Liver Surface Completion with Graph Convolutional VAE

Simone Foti, Bongjin Koo, Thomas Dowrick +5

In this work we propose a method based on geometric deep learning to predict the complete surface of the liver, given a partial point cloud of the organ obtained during the surgica…