Yong Xia
Orcid: 0000-0001-9273-2847Affiliations:
- Northwestern Polytechnical University, Shaanxi Key Lab of Speech and Image Information Processing, Centre for Multidisciplinary Convergence Computing, Xi'an, China
- University of Sydney, Biomedical and Multimedia Information Technology Research Group, BMIT, Australia (2007 - 2013)
- Northwestern Polytechnical University, School of Computer Science and Engineering, Xi'an, China (PhD 2007)
According to our database1,
Yong Xia
authored at least 272 papers
between 2003 and 2024.
Collaborative distances:
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Bibliography
2024
Modeling annotator preference and stochastic annotation error for medical image segmentation.
Medical Image Anal., February, 2024
Medical Image Anal., January, 2024
IEEE Trans. Multim., 2024
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Disentangle First, Then Distill: A Unified Framework for Missing Modality Imputation and Alzheimer's Disease Diagnosis.
IEEE Trans. Medical Imaging, December, 2023
Pattern Recognit., December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Medical Image Anal., December, 2023
Comput. Biol. Medicine, December, 2023
Pattern Recognit., November, 2023
IEEE Trans. Medical Imaging, October, 2023
Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution.
IEEE Trans. Medical Imaging, September, 2023
Deformable medical image registration with global-local transformation network and region similarity constraint.
Comput. Medical Imaging Graph., September, 2023
Adaptive decoder-block selection with filter reweighting for medical image segmentation.
Biomed. Signal Process. Control., August, 2023
An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation.
IEEE J. Biomed. Health Informatics, July, 2023
Reconstruction-Driven Dynamic Refinement Based Unsupervised Domain Adaptation for Joint Optic Disc and Cup Segmentation.
IEEE J. Biomed. Health Informatics, July, 2023
AATSN: Anatomy Aware Tumor Segmentation Network for PET-CT volumes and images using a lightweight fusion-attention mechanism.
Comput. Biol. Medicine, May, 2023
Hyperspectral anomaly detection via weighted-sparsity-regularized tensor linear representation.
IET Image Process., March, 2023
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditions.
Expert Syst. Appl., March, 2023
BiT-MAC: Mortality prediction by bidirectional time and multi-feature attention coupled network on multivariate irregular time series.
Comput. Biol. Medicine, March, 2023
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images.
Comput. Biol. Medicine, March, 2023
Domain-ensemble learning with cross-domain mixup for thoracic disease classification in unseen domains.
Biomed. Signal Process. Control., March, 2023
Domain and Content Adaptive Convolution Based Multi-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2023
MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023
CoRR, 2023
SegRap2023: A Benchmark of Organs-at-Risk and Gross Tumor Volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.
CoRR, 2023
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts.
CoRR, 2023
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation.
CoRR, 2023
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning.
CoRR, 2023
SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings.
CoRR, 2023
Segment Together: A Versatile Paradigm for Semi-Supervised Medical Image Segmentation.
CoRR, 2023
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image Segmentation.
CoRR, 2023
Tackling the Incomplete Annotation Issue in Universal Lesion Detection Task By Exploratory Training.
CoRR, 2023
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT.
CoRR, 2023
SAM++: Enhancing Anatomic Matching using Semantic Information and Structural Inference.
CoRR, 2023
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
PLMVQA: Applying Pseudo Labels for Medical Visual Question Answering with Limited Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
UniSeg: A Prompt-Driven Universal Segmentation Model as Well as A Strong Representation Learner.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Multi-modal Pathological Pre-training via Masked Autoencoders for Breast Cancer Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Single-Cell Spatial Analysis of Histopathology Images for Survival Prediction via Graph Attention Network.
Proceedings of the Applications of Medical Artificial Intelligence, 2023
Devil is in Channels: Contrastive Single Domain Generalization for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Unpaired Cross-Modal Interaction Learning for COVID-19 Segmentation on Limited CT Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Treasure in Distribution: A Domain Randomization Based Multi-source Domain Generalization for 2D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Medical Imaging, 2022
SC2Net: A Novel Segmentation-Based Classification Network for Detection of COVID-19 in Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, 2022
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Image Process., 2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Pattern Recognit., 2022
Learning multi-scale synergic discriminative features for prostate image segmentation.
Pattern Recognit., 2022
Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Medical Image Anal., 2022
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.
Medical Image Anal., 2022
Deep U-Net architecture with curriculum learning for myocardial pathology segmentation in multi-sequence cardiac magnetic resonance images.
Knowl. Based Syst., 2022
CoRR, 2022
ProSFDA: Prompt Learning based Source-free Domain Adaptation for Medical Image Segmentation.
CoRR, 2022
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis Diagnosis.
CoRR, 2022
CoRR, 2022
Improving myocardial pathology segmentation with U-Net++ and EfficientSeg from multi-sequence cardiac magnetic resonance images.
Comput. Biol. Medicine, 2022
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
DeSD: Self-Supervised Learning with Deep Self-Distillation for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
$\mathrm {M^{2}F}$: A Multi-modal and Multi-task Fusion Network for Glioma Diagnosis and Prognosis.
Proceedings of the Multiscale Multimodal Medical Imaging - Third International Workshop, 2022
Proceedings of the Left Atrial and Scar Quantification and Segmentation - First Challenge, 2022
Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022
Domain Specific Convolution and High Frequency Reconstruction Based Unsupervised Domain Adaptation for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Hybrid Graph Transformer for Tissue Microstructure Estimation with Undersampled Diffusion MRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Disentangle Then Calibrate: Selective Treasure Sharing for Generalized Rare Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier.
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
IEEE Trans. Medical Imaging, 2021
Deep Reinforcement Learning for Weakly-Supervised Lymph Node Segmentation in CT Images.
IEEE J. Biomed. Health Informatics, 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Pattern Recognit., 2021
Triple attention learning for classification of 14 thoracic diseases using chest radiography.
Medical Image Anal., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
CoRR, 2021
Modeling Human Preference and Stochastic Error for Medical Image Segmentation with Multiple Annotators.
CoRR, 2021
Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation.
CoRR, 2021
Domain and Content Adaptive Convolution for Domain Generalization in Medical Image Segmentation.
CoRR, 2021
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.
CoRR, 2021
Multiscale attention guided U-Net architecture for cardiac segmentation in short-axis MRI images.
Comput. Methods Programs Biomed., 2021
Bidirectional cross-modality unsupervised domain adaptation using generative adversarial networks for cardiac image segmentation.
Comput. Biol. Medicine, 2021
Biomed. Signal Process. Control., 2021
A deep learning approach to segmentation of nasopharyngeal carcinoma using computed tomography.
Biomed. Signal Process. Control., 2021
Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Consistent Segmentation of Longitudinal Brain MR Images with Spatio-Temporal Constrained Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Predicting Symptoms from Multiphasic MRI via Multi-instance Attention Learning for Hepatocellular Carcinoma Grading.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021
Collaborative Image Synthesis and Disease Diagnosis for Classification of Neurodegenerative Disorders with Incomplete Multi-modal Neuroimages.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach.
Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 2021
CDLRS: Collaborative Deep Learning Model with Joint Regression and Segmentation for Automatic Fovea Localization.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
SMILE: Sparse-Attention based Multiple Instance Contrastive Learning for Glioma Sub-Type Classification Using Pathological Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
BiCMTS: Bidirectional Coupled Multivariate Learning of Irregular Time Series with Missing Values.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and Classification.
IEEE Trans. Medical Imaging, 2020
Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages.
IEEE Trans. Medical Imaging, 2020
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images.
IEEE Trans. Medical Imaging, 2020
Thorax-Net: An Attention Regularized Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
IEEE J. Biomed. Health Informatics, 2020
Neural Networks, 2020
Neurocomputing, 2020
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task.
CoRR, 2020
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach.
CoRR, 2020
CoRR, 2020
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation.
CoRR, 2020
COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020
EfficientSeg: A Simple But Efficient Solution to Myocardial Pathology Segmentation Challenge.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
Segmentation then Prediction: A Multi-task Solution to Brain Tumor Segmentation and Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
H<sup>2</sup>NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
IEEE Trans. Medical Imaging, 2019
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT.
IEEE Trans. Medical Imaging, 2019
Foreground Fisher Vector: Encoding Class-Relevant Foreground to Improve Image Classification.
IEEE Trans. Image Process., 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
M<sup>3</sup>Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation.
Pattern Recognit., 2019
Neural Process. Lett., 2019
Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT.
Medical Image Anal., 2019
Affective image classification by jointly using interpretable art features and semantic annotations.
J. Vis. Commun. Image Represent., 2019
EMS-Net: Ensemble of Multiscale Convolutional Neural Networks for Classification of Breast Cancer Histology Images.
Neurocomputing, 2019
Semi- and Weakly Supervised Directional Bootstrapping Model for Automated Skin Lesion Segmentation.
CoRR, 2019
CSA-DE/EDA: a Novel Bio-inspired Algorithm for Function Optimization and Segmentation of Brain MR Images.
Cogn. Comput., 2019
GA-SVM based feature selection and parameter optimization in hospitalization expense modeling.
Appl. Soft Comput., 2019
2D and 3D Vascular Structures Enhancement Via Improved Vesselness Filter and Vessel Enhancing Diffusion.
IEEE Access, 2019
DAEimp: Denoising Autoencoder-Based Imputation of Sleep Heart Health Study for Identification of Cardiovascular Diseases.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019
An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Disease-Image Specific Generative Adversarial Network for Brain Disease Diagnosis with Incomplete Multi-modal Neuroimages.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Discriminative-Region-Aware Residual Network for Adolescent Brain Structure and Cognitive Development Analysis.
Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Memory Network-Based Quality Normalization of Magnetic Resonance Images for Brain Segmentation.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
Three-Dimensional Coronary Artery Centerline Extraction and Cross Sectional Lumen Quantification from CT Angiography Images.
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Improving Brain Tumor Segmentation in Multi-sequence MR Images Using Cross-Sequence MR Image Generation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
MSA-Net: Multiscale Spatial Attention Network for the Classification of Breast Histology Images.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019
Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019
2018
Classification of Medical Images in the Biomedical Literature by Jointly Using Deep and Handcrafted Visual Features.
IEEE J. Biomed. Health Informatics, 2018
Automatic Kernel Size Determination for Deep Neural Networks Based Hyperspectral Image Classification.
Remote. Sens., 2018
Validation of right coronary artery lumen area from cardiac computed tomography against intravascular ultrasound.
Mach. Vis. Appl., 2018
Locality constrained encoding of frequency and spatial information for image classification.
Multim. Tools Appl., 2018
Multim. Tools Appl., 2018
Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT.
Inf. Fusion, 2018
NODULe: Combining constrained multi-scale LoG filters with densely dilated 3D deep convolutional neural network for pulmonary nodule detection.
Neurocomputing, 2018
Neurocomputing, 2018
Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging.
Neurocomputing, 2018
A Multi-Level Deep Ensemble Model for Skin Lesion Classification in Dermoscopy Images.
CoRR, 2018
CoRR, 2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography.
CoRR, 2018
A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency.
CoRR, 2018
CoRR, 2018
Biomed. Signal Process. Control., 2018
Automatic Coronary Centerline Extraction Using Gradient Vector Flow Field and Fast Marching Method From CT Images.
IEEE Access, 2018
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Synthesizing Missing PET from MRI with Cycle-consistent Generative Adversarial Networks for Alzheimer's Disease Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Brain Tumor Segmentation on Multimodal MR Imaging Using Multi-level Upsampling in Decoder.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
CSA-DE/EDA: A Clonal Selection Algorithm Using Differential Evolution and Estimation of Distribution Algorithm.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
Early Identification of Alzheimer's Disease Using an Ensemble of 3D Convolutional Neural Networks and Magnetic Resonance Imaging.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018
2017
Convolutional Neural Networks Based Hyperspectral Image Classification Method with Adaptive Kernels.
Remote. Sens., 2017
Brain voxel classification in magnetic resonance images using niche differential evolution based Bayesian inference of variational mixture of Gaussians.
Neurocomputing, 2017
Neurocomputing, 2017
Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning.
CoRR, 2017
Comput. Methods Programs Biomed., 2017
Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging.
Comput. Medical Imaging Graph., 2017
Appl. Soft Comput., 2017
A tribe competition-based genetic algorithm for feature selection in pattern classification.
Appl. Soft Comput., 2017
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
3D Deep Neural Network-Based Brain Tumor Segmentation Using Multimodality Magnetic Resonance Sequences.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Jointly Using Deep Model Learned Features and Traditional Visual Features in a Stacked SVM for Medical Subfigure Classification.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
Gradient Vector Flow Field and Fast Marching Based Method for Centerline Computation of Coronary Arteries.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
Prostate segmentation in MR images using ensemble deep convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
A genetic algorithm based feature selection for binary phenotype prediction using structural brain magnetic resonance imaging.
Proceedings of the 13th International Conference on Natural Computation, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Proceedings of the 20th International Conference on Information Fusion, 2017
2016
Foreground Detection With Simultaneous Dictionary Learning and Historical Pixel Maintenance.
IEEE Trans. Image Process., 2016
IEEE Trans. Biomed. Eng., 2016
Brain MRI image segmentation based on learning local variational Gaussian mixture models.
Neurocomputing, 2016
Automated identification of dementia using medical imaging: a survey from a pattern classification perspective.
Brain Informatics, 2016
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
2015
Multim. Tools Appl., 2015
Active contours driven by local likelihood image fitting energy for image segmentation.
Inf. Sci., 2015
Local Variational Bayesian Inference Using Niche Differential Evolution for Brain Magnetic Resonance Image Segmentation.
Proceedings of the Intelligence Science and Big Data Engineering. Image and Video Data Engineering, 2015
Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015
2014
Neurocomputing, 2014
A clonal selection based approach to statistical brain voxel classification in magnetic resonance images.
Neurocomputing, 2014
Fuzzy Sets Syst., 2014
Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method.
Biomed. Signal Process. Control., 2014
Learning large number of local statistical models via variational Bayesian inference for brain voxel classification in magnetic resonance images.
Proceedings of the Proceedings IEEE International Conference on Security, 2014
Proceedings of the International Conference on Smart Computing, 2014
Non-sparse infinite-kernel learning for automated identification of Alzheimer's disease using PET imaging.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
IEEE Trans. Image Process., 2013
Signal Process., 2013
J. Vis. Commun. Image Represent., 2013
J. Vis. Commun. Image Represent., 2013
Magnetic resonance image restoration via dictionary learning under spatially adaptive constraints.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
IEEE Trans. Inf. Technol. Biomed., 2012
Pattern Recognit. Lett., 2012
J. Vis. Commun. Image Represent., 2012
Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas.
Comput. Methods Programs Biomed., 2012
Comput. Methods Programs Biomed., 2012
Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information.
Comput. Medical Imaging Graph., 2012
Appl. Soft Comput., 2012
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012
2011
Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation.
IEEE Trans. Inf. Technol. Biomed., 2011
Airway segmentation for low-contrast CT images from combined PET/CT scanners based on airway modelling and seed prediction.
Biomed. Signal Process. Control., 2011
Proceedings of the 73rd IEEE Vehicular Technology Conference, 2011
Clonal Selection Algorithm for Gaussian Mixture Model Based Segmentation of 3D Brain MR Images.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011
GA and AdaBoost-Based Feature Selection and Combination for Automated Identification of Dementia Using FDG-PET Imaging.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011
Local Gaussian Distribution Fitting Based FCM Algorithm for Brain MR Image Segmentation.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011
Proceedings of the 19th annual IEEE International Conference on Network Protocols, 2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Variational Bayes Inference Based Segmentation of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image Segmentation.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
2010
Pattern Recognit. Lett., 2010
Dual-modality 3D brain PET-CT image segmentation based on probabilistic brain atlas and classification fusion.
Proceedings of the International Conference on Image Processing, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-subject FDG-PET Images from Combined PET-CT Scanners.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010
2009
Segmentation of brain PET-CT images based on adaptive use of complementary information.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Fifth International Conference on Image and Graphics, 2009
2008
Proceedings of the International Workshop on Multimedia Signal Processing, 2008
2007
2006
Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model.
IEEE Trans. Image Process., 2006
IEEE Trans. Image Process., 2006
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006
2005
Pattern Recognit. Lett., 2005
2003
Proceedings of the Visual Information Processing 2003, 2003