Search Results - "Yan, Zhuangzhi"
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A Combined Deep-Learning and Lattice Boltzmann Model for Segmentation of the Hippocampus in MRI
Published in Sensors (Basel, Switzerland) (28-06-2020)“…Segmentation of the hippocampus (HC) in magnetic resonance imaging (MRI) is an essential step for diagnosis and monitoring of several clinical situations such…”
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Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer’s dementia
Published in European journal of nuclear medicine and molecular imaging (01-11-2020)“…Purpose Positron emission tomography (PET) with 18 F-fluorodeoxyglucose (FDG) reveals altered cerebral metabolism in individuals with mild cognitive impairment…”
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Predicting Alzheimer Disease From Mild Cognitive Impairment With a Deep Belief Network Based on 18F-FDG-PET Images
Published in Molecular imaging (2019)“…Objective: Accurate diagnosis of early Alzheimer disease (AD) plays a critical role in preventing the progression of memory impairment. We aimed to develop a…”
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BMNet: A New Region-Based Metric Learning Method for Early Alzheimer's Disease Identification With FDG-PET Images
Published in Frontiers in neuroscience (24-02-2022)“…18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) reveals altered brain metabolism in individuals with mild cognitive impairment (MCI) and…”
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Classification of microcalcification clusters in digital breast tomosynthesis using ensemble convolutional neural network
Published in Biomedical engineering online (28-07-2021)“…The classification of benign and malignant microcalcification clusters (MCs) is an important task for computer-aided diagnosis (CAD) of digital breast…”
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TongueCaps: An Improved Capsule Network Model for Multi-Classification of Tongue Color
Published in Diagnostics (Basel) (08-03-2022)“…Tongue color is an important part of tongue diagnosis. The change of tongue color is affected by pathological state of body, blood rheology, and other factors…”
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Use of Overlapping Group LASSO Sparse Deep Belief Network to Discriminate Parkinson's Disease and Normal Control
Published in Frontiers in neuroscience (29-04-2019)“…As a medical imaging technology which can show the metabolism of the brain, 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) is of great value…”
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Janus nanocarriers for magnetically targeted and hyperthermia-enhanced curcumin therapy of liver cancer
Published in RSC advances (01-01-2018)“…Curcumin is regarded as a promising chemotherapeutic agent due to its anti-cancer activity and excellent biosafety. Nevertheless, the poor bioavailability and…”
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A Novel Metabolic Connectome Method to Predict Progression to Mild Cognitive Impairment
Published in Behavioural neurology (18-08-2020)“…Objective. Glucose-based positron emission tomography (PET) imaging has been widely used to predict the progression of mild cognitive impairment (MCI) into…”
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Development of a Machine Learning Model to Discriminate Mild Cognitive Impairment Subjects from Normal Controls in Community Screening
Published in Brain sciences (28-08-2022)“…Background: Mild cognitive impairment (MCI) is a transitional stage between normal aging and probable Alzheimer’s disease. It is of great value to screen for…”
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Radiomics-Guided Deep Learning Networks Classify Differential Diagnosis of Parkinsonism
Published in Brain sciences (04-07-2024)“…The differential diagnosis between atypical Parkinsonian syndromes may be challenging and critical. We aimed to proposed a radiomics-guided deep learning (DL)…”
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A novel individual-level morphological brain networks constructing method and its evaluation in PET and MR images
Published in Heliyon (01-12-2017)“…Mapping the human brain is one of the great scientific challenges of the 21st century. Brain network analysis is an effective technique based on graph theory…”
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Performance Evaluation of a Priori Information on Reconstruction of Fluorescence Molecular Tomography
Published in IEEE access (2015)“…Fluorescence molecular tomography (FMT) plays an important role in in vivo small animal imaging. However, due to the diffusive nature of photon propagation in…”
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Gabor-based anisotropic diffusion with lattice Boltzmann method for medical ultrasound despeckling
Published in Mathematical biosciences and engineering : MBE (01-01-2019)“…Medical ultrasound images are corrupted by speckle noise, and despeckling methods are required to effectively and efficiently reduce speckle noise while…”
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Novel lattice Boltzmann method based on integrated edge and region information for medical image segmentation
Published in Bio-medical materials and engineering (2014)“…The lattice Boltzmann (LB) method is a mesoscopic method based on kinetic theory and statistical mechanics. The main advantage of the LB method is parallel…”
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Improved Imaging Performance in Super-Resolution Localization Microscopy by YALL1 Method
Published in IEEE access (01-01-2018)“…In super-resolution localization microscopy, e.g., stochastic optical reconstruction microscopy or photoactivated localization microscopy, a long acquisition…”
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A Mobile Monitoring System of Blood Pressure for Underserved in China by Information and Communication Technology Service
Published in IEEE transactions on information technology in biomedicine (01-05-2010)“…High blood pressure (BP, hypertension) is a leading chronic condition in China and has become the main risk factor for many high-risk diseases, such as heart…”
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Decision Supporting Model for One-year Conversion Probability from MCI to AD using CNN and SVM
Published in 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01-07-2018)“…Prediction of Alzheimer's disease (AD) from Mild Cognitive Impairment (MCI) has become popular in recent years. Especially, deep learning technique has been…”
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Conference Proceeding Journal Article -
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Improved detection performance in blood cell count by an attention-guided deep learning method
Published in OSA continuum (15-02-2021)“…Blood cell count plays an important role in the field of clinical medical diagnosis. To effectively automate the counting of blood cells, recently, the…”
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A novel Blood Pressure estimation method combing Pulse Wave Transit Time model and neural network model
Published in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (01-07-2017)“…Blood Pressure (BP) measurement can assist doctors to assess patients' cardiovascular status and diagnose heart diseases. Pulse Wave Transit Time (PWTT) model…”
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Conference Proceeding Journal Article