Ed X. Wu
University of Hong Kong
AnatomyPhysicsInternal medicineDiffusion (business)Biomedical engineeringPathologyMagnetic resonance imagingDiffusion MRIArtificial intelligencePsychologyNeuroscienceChemistryMaterials scienceIn vivoWhite matterComputer scienceNuclear magnetic resonanceResting state fMRIMedicineBiology
574Publications
55H-index
7,897Citations
Publications 577
Newest
#1Yue ZhangH-Index: 7
#2Pinyuan ZhongH-Index: 1
Last. Xiaoying TangH-Index: 15
view all 9 authors...
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#1Linfang Xiao (HKU: University of Hong Kong)H-Index: 4
#2Yilong Liu (HKU: University of Hong Kong)H-Index: 7
Last. Ed X. Wu (HKU: University of Hong Kong)H-Index: 55
view all 8 authors...
PURPOSE: To provide a complex-valued deep learning approach for partial Fourier (PF) reconstruction of complex MR images. METHODS: Conventional PF reconstruction methods, such as projection onto convex sets (POCS), uses low-resolution image phase information from the central symmetrically sampled k-space for image reconstruction. However, this smooth phase constraint undermines the phase estimation accuracy in presence of rapid local phase variations, causing image artifacts and limiting the ext...
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#2Andy Wai Kan Yeung (HKU: University of Hong Kong)H-Index: 18
The anterior insula and rolandic operculum are key regions for flavour perception in the human brain; however, it is unclear how taste and congruent retronasal smell are perceived as flavours. The multisensory integration required for sour flavour perception has rarely been studied; therefore, we investigated the brain responses to taste and smell in the sour flavour-processing network in 35 young healthy adults. We aimed to characterise the brain response to three stimulations applied in the or...
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#1Francis A. M. Manno (CityU: City University of Hong Kong)H-Index: 10
#2Ziqi An (Southern Medical University)
Last. Condon Lau (CityU: City University of Hong Kong)H-Index: 15
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Conductive hearing loss (CHL) results in attenuation of air conducted sound reaching the inner ear. How a change in air conducted sound alters the auditory system resulting in cortical alterations is not well understood. Here, we have assessed structural and functional magnetic resonance imaging (MRI) in an adult (P60) rat model of short-term conductive hearing loss (1 week). Diffusion tensor imaging (DTI) revealed fractional anisotropy (FA) and axial diffusivity alterations after hearing loss t...
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#1Alex T. L. Leong (HKU: University of Hong Kong)H-Index: 5
#2Xunda Wang (HKU: University of Hong Kong)H-Index: 3
Last. Ed X. Wu (HKU: University of Hong Kong)H-Index: 55
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Brain possesses a complex spatiotemporal architecture for efficient information processing and computing. However, it remains unknown how neural signal propagates to its intended targets brain-wide. Using optogenetics and functional MRI, we arbitrarily initiated various discrete neural activity pulse trains with different temporal patterns and revealed their distinct long-range propagation targets within the well-defined, topographically organized somatosensory thalamo-cortical circuit. We furth...
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#1Zheyuan Yi (HKU: University of Hong Kong)H-Index: 2
#2Yilong Liu (HKU: University of Hong Kong)H-Index: 7
Last. Ed X. Wu (HKU: University of Hong Kong)H-Index: 55
view all 8 authors...
PURPOSE To jointly reconstruct highly undersampled multicontrast two-dimensional (2D) datasets through a low-rank Hankel tensor completion framework. METHODS A multicontrast Hankel tensor completion (MC-HTC) framework is proposed to exploit the shareable information in multicontrast datasets with respect to their highly correlated image structure, common spatial support, and shared coil sensitivity for joint reconstruction. This is achieved by first organizing multicontrast k-space datasets into...
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#1Lei Wang (HKU: University of Hong Kong)H-Index: 3
#2Ed X. Wu (HKU: University of Hong Kong)H-Index: 55
Last. Fei Chen (Southern University of Science and Technology)H-Index: 18
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OBJECTIVE Auditory attention in complex scenarios can be decoded by electroencephalography (EEG)-based cortical speech-envelope tracking. The relative root-mean-square (RMS) intensity is a valuable cue for the decomposition of speech into distinct characteristic segments. To improve auditory attention decoding (AAD) performance, this work proposed a novel segmented AAD approach to decode target speech envelopes from different RMS-level-based speech segments. APPROACH Speech was decomposed into h...
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#4Yifan Chen (University of Electronic Science and Technology of China)H-Index: 18
Stroke is a serious manifestation of various cerebrovascular diseases and one of the most dangerous diseases in the world today. Volume quantification and location detection of chronic stroke lesions provide vital biomarkers for stroke rehabilitation. Recently, deep learning has seen a rapid growth, with a great potential in segmenting medical images. In this work, unlike most deep learning-based segmentation methods utilizing only magnetic resonance (MR) images as the input, we propose and vali...
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#1Yilong Liu (HKU: University of Hong Kong)H-Index: 7
#2Zheyuan Yi (HKU: University of Hong Kong)H-Index: 2
Last. Ed X. Wu (HKU: University of Hong Kong)H-Index: 55
view all 8 authors...
PURPOSE To provide joint calibrationless parallel imaging reconstruction of highly accelerated multislice 2D MR k-space data. METHODS Adjacent image slices in multislice MR data have similar coil sensitivity maps, spatial support, and image content. Such similarities can be utilized to improve image quality by reconstructing multiple slices jointly with low-rank tensor completion. Specifically, the multichannel k-space data from multiple slices are constructed into a block-wise Hankel tensor and...
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#4Yifan Chen (University of Electronic Science and Technology of China)H-Index: 18
Abstract In this paper, we propose and validate a deep learning framework that incorporates both multi-atlas registration and level-set for segmenting pancreas from CT volume images. The proposed segmentation pipeline consists of three stages, namely coarse, fine, and refine stages. Firstly, a coarse segmentation is obtained through multi-atlas based 3D diffeomorphic registration and fusion. After that, to learn the connection feature, a 3D patch-based convolutional neural network (CNN) and thre...
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