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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7516-5
Abstract: Face analysis has been a hot research field in computer vision for decades. The dataset is of vital importance for modern machine learning methods. The paper proposes a flexible CG (Computer Graphics) rendering pipe-line for… read more here.
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Published in 2019 at "Medical Image Analysis"
DOI: 10.1016/j.media.2019.03.007
Abstract: &NA; In many medical image analysis applications, only a limited amount of training data is available due to the costs of image acquisition and the large manual annotation effort required from experts. Training recent state‐of‐the‐art… read more here.
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-58103-6
Abstract: The various speech sounds of a language are obtained by varying the shape and position of the articulators surrounding the vocal tract. Analyzing their variations is crucial for understanding speech production, diagnosing speech disorders and… read more here.
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Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2739822
Abstract: Recently, a local binary patterns-based initialization scheme for robust cascaded pose regression was proposed, which selects the most correlated shapes with the estimated face from training set as the initial shapes. Nevertheless, due to the… read more here.
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Published in 2017 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2016.2597270
Abstract: Accurate localization of anatomical landmarks is an important step in medical imaging, as it provides useful prior information for subsequent image analysis and acquisition methods. It is particularly useful for initialization of automatic image analysis… read more here.
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Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3222730
Abstract: Automatic anatomical landmark localization has made great strides by leveraging deep learning methods in recent years. The ability to quantify the uncertainty of these predictions is a vital component needed for these methods to be… read more here.
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Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3247543
Abstract: Knee segmentation and landmark localization from 3D MRI are two significant tasks for diagnosis and treatment of knee diseases. With the development of deep learning, Convolutional Neural Network (CNN) based methods have become the mainstream.… read more here.
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Published in 2020 at "Computer Graphics Forum"
DOI: 10.1111/cgf.13895
Abstract: Recent methods for 2D facial landmark localization perform well on close‐to‐frontal faces, but 2D landmarks are insufficient to represent 3D structure of a facial shape. For applications that require better accuracy, such as facial motion… read more here.