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Guang-Zhong Yang
Imperial College London
995Publications
55H-index
14.9kCitations
Publications 995
Newest
Published on Jun 4, 2019in Annual Review of Biomedical Engineering 8.79
Jocelyne Troccaz33
Estimated H-index: 33
(Centre national de la recherche scientifique),
Giulio Dagnino7
Estimated H-index: 7
(Imperial College London),
Guang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Medical robotics is poised to transform all aspects of medicine—from surgical intervention to targeted therapy, rehabilitation, and hospital automation. A key area is the development of robots for minimally invasive interventions. This review provides a detailed analysis of the evolution of interventional robots and discusses how the integration of imaging, sensing, and robotics can influence the patient care pathway toward precision intervention and patient-specific treatment. It outlines how c...
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Published on Jun 1, 2019
Jocelyne Troccaz33
Estimated H-index: 33
,
Giulio Dagnino7
Estimated H-index: 7
,
Guang-Zhong Yang55
Estimated H-index: 55
Published on Jun 1, 2019in Radiology 7.47
Nan Zhang5
Estimated H-index: 5
,
Guang-Zhong Yang55
Estimated H-index: 55
+ 8 AuthorsZhanming Fan12
Estimated H-index: 12
Deep learning on nonenhanced cardiac MRI data can detect the presence and extent of chronic myocardial infarction. This approach may have potential to reduce use of gadolinium contrast administration.
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Published on Apr 15, 2019in Journal of medical imaging
Lei Zhang3
Estimated H-index: 3
(University of Lincoln),
Guang-Zhong Yang55
Estimated H-index: 55
(Imperial College London),
Xujiong Ye14
Estimated H-index: 14
(University of Lincoln)
Segmentation of skin lesions is an important step in computer-aided diagnosis of melanoma; it is also a very challenging task due to fuzzy lesion boundaries and heterogeneous lesion textures. We present a fully automatic method for skin lesion segmentation based on deep fully convolutional networks (FCNs). We investigate a shallow encoding network to model clinically valuable prior knowledge, in which spatial filters simulating simple cell receptive fields function in the primary visual cortex (...
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Laura Ros-Freixedes (Imperial College London), Anzhu Gao (Imperial College London)+ 2 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Purpose A laser-profiled continuum robot (CR) with a series of interlocking joints has been developed in our center to reach deeper areas of the airways. However, it deflects with constant curvature, which thus increases the difficulty of entering specific bronchi without relying on the tissue reaction forces. This paper aims to propose an optimization framework to find the best design parameters for nonconstant curvature CRs to reach distal targets while attempting to avoid the collision with t...
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Published on Apr 4, 2019in Sensors 2.48
Bruno Gil , Salzitsa Anastasova7
Estimated H-index: 7
,
Guang Z. Yang
Wearable biomedical technology has gained much support lately as devices have become more affordable to the general public and they can easily interact with mobile phones and other platforms. The feasibility and accuracy of the data generated by these devices so as to replace the standard medical methods in use today is still under scrutiny. In this paper, we present an ear-worn device to measure cardiovascular and sweat parameters during physical exercise. ECG bipolar recordings capture the ele...
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Published on Apr 1, 2019 in International Conference on Robotics and Automation
Mali Shen (Imperial College London), Yun Gu6
Estimated H-index: 6
(Imperial College London)
+ 1 AuthorsGuang-Zhong Yang55
Estimated H-index: 55
(Imperial College London)
Endobronchial intervention is increasingly used as a minimally invasive means of lung intervention. Vision-based localization approaches are often sensitive to image artifacts in bronchoscopic videos. In this letter, a robust navigation system based on a context-aware depth recovery approach for monocular video images is presented. To handle the artifacts, a conditional generative adversarial learning framework is proposed for reliable depth recovery. The accuracy of depth estimation and camera ...
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