Search Results - "Zhou, Jiliu"
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3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis
Published in IEEE transactions on medical imaging (01-06-2019)“…Positron emission tomography (PET) has been substantially used recently. To minimize the potential health risk caused by the tracer radiation inherent to PET…”
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Low-dose CT denoising with convolutional neural network
Published in 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (01-04-2017)“…To reduce the potential radiation risk, low-dose CT has attracted much attention. However, simply lowering the radiation dose will lead to significant…”
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Conference Proceeding -
3
How to balance the bioinformatics data: pseudo-negative sampling
Published in BMC bioinformatics (24-12-2019)“…Imbalanced datasets are commonly encountered in bioinformatics classification problems, that is, the number of negative samples is much larger than that of…”
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LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes
Published in IEEE journal of selected topics in applied earth observations and remote sensing (2022)“…Pansharpening in remote sensing image aims at acquiring a high-resolution multispectral (HRMS) image directly by fusing a low-resolution multispectral (LRMS)…”
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5
Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations
Published in NeuroImage (Orlando, Fla.) (15-05-2017)“…Functional MRI has proven to be effective in detecting neural activity in brain cortices on the basis of blood oxygenation level dependent (BOLD) contrast, but…”
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6
Fractional-order quantum particle swarm optimization
Published in PloS one (20-06-2019)“…Motivated by the concepts of quantum mechanics and particle swarm optimization (PSO), quantum-behaved particle swarm optimization (QPSO) was developed to…”
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Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut
Published in Experimental and therapeutic medicine (01-09-2018)“…Accurate and reliable segmentation of nasopharyngeal carcinoma (NPC) in medical images is an import task for clinical applications, including radiotherapy…”
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Multi-criteria decision making based on trust and reputation in supply chain
Published in International journal of production economics (01-01-2014)“…Decision making is a core problem in Supply Chains. A large number of studies in literature have reported various decision making techniques based on…”
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Extreme Low-Resolution Activity Recognition Using a Super-Resolution-Oriented Generative Adversarial Network
Published in Micromachines (Basel) (08-06-2021)“…Activity recognition is a fundamental and crucial task in computer vision. Impressive results have been achieved for activity recognition in high-resolution…”
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10
Fusing multi-scale information in convolution network for MR image super-resolution reconstruction
Published in Biomedical engineering online (25-08-2018)“…Magnetic resonance (MR) images are usually limited by low spatial resolution, which leads to errors in post-processing procedures. Recently, learning-based…”
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11
Identification of the normal and abnormal heart sounds using wavelet-time entropy features based on OMS-WPD
Published in Future generation computer systems (01-07-2014)Get full text
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12
Fractional differential approach to detecting textural features of digital image and its fractional differential filter implementation
Published in Science China. Information sciences (01-09-2008)“…This paper mainly discusses fractional differential approach to detecting textural features of digital image and its fractional differential filter. Firstly,…”
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13
DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation
Published in IET image processing (01-01-2022)“…Radiation therapy is the standard treatment for early stage Nasopharyngeal cancer (NPC). Thus, accurate delineation of target volumes at risk in NPC is…”
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14
Functions of Learning Rate in Adaptive Reward Learning
Published in Frontiers in human neuroscience (06-12-2017)“…As a crucial cognitive function, learning applies prediction error (the discrepancy between the prediction from learning and the world state) to adjust…”
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15
Theory of fractional covariance matrix and its applications in PCA and 2D-PCA
Published in Expert systems with applications (01-10-2013)“…•We extend fractional covariance matrix (FCM) to fractional order forms by the given new definition.•We propose two new techniques of dimensionality reduction…”
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16
ICANet: a simple cascade linear convolution network for face recognition
Published in EURASIP journal on image and video processing (27-06-2018)“…Recently, deep convolutional networks have demonstrated their capability of improving the discriminative power compared with other machine learning method, but…”
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17
Fractional partial differential equation denoising models for texture image
Published in Science China. Information sciences (01-07-2014)“…In this paper,a set of fractional partial differential equations based on fractional total variation and fractional steepest descent approach are proposed to…”
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18
Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation
Published in 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (18-04-2023)“…Semi-supervised learning (SSL) has been a popular technique to resolve the annotation scarcity problem in image segmentation. Recently, contrastive learning…”
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Conference Proceeding -
19
Promoting fast MR imaging pipeline by full-stack AI
Published in iScience (19-01-2024)“…Magnetic resonance imaging (MRI) is a widely used imaging modality in clinics for medical disease diagnosis, staging, and follow-up. Deep learning has been…”
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Accurate Sparse-Projection Image Reconstruction via Nonlocal TV Regularization
Published in TheScientificWorld (01-01-2014)“…Sparse-projection image reconstruction is a useful approach to lower the radiation dose; however, the incompleteness of projection data will cause degeneration…”
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