Xujiong Ye
Orcid: 0000-0003-0115-0724
According to our database1,
Xujiong Ye
authored at least 72 papers
between 2001 and 2024.
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Bibliography
2024
A marker-less human motion analysis system for motion-based biomarker identification and quantification in knee disorders.
Frontiers Digit. Health, 2024
Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden.
Frontiers Comput. Sci., 2024
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Dual-Stream Spatiotemporal Networks with Feature Sharing for Monitoring Animals in the Home Cage.
Sensors, December, 2023
A marker-less human motion analysis system for motion-based biomarker discovery in knee disorders.
CoRR, 2023
IEEE Access, 2023
Zero-dimensional biomarker based medical action recognition: towards more explainable AI in healthcare.
Proceedings of the 2023 10th International Conference on Bioinformatics Research and Applications, 2023
2022
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos.
IEEE J. Biomed. Health Informatics, 2021
A novel unified deep neural networks methodology for use by date recognition in retail food package image.
Signal Image Video Process., 2021
A novel computer vision-based data driven modelling approach for person specific fall detection.
J. Ambient Intell. Smart Environ., 2021
Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders.
CoRR, 2021
ResDUnet: A Deep Learning-Based Left Ventricle Segmentation Method for Echocardiography.
IEEE Access, 2021
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Medical Biol. Eng. Comput., 2020
Eur. J. Oper. Res., 2020
Advanced Non-linear Generative Model with a Deep Classifier for Immunotherapy Outcome Prediction: A Bladder Cancer Case Study.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
ResDUnet: Residual Dilated UNet for Left Ventricle Segmentation from Echocardiographic Images.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
MIXR: A Standard Architecture for Medical Image Analysis in Augmented and Mixed Reality.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020
2019
CoRR, 2019
Int. J. Comput. Assist. Radiol. Surg., 2019
Esophageal Abnormality Detection Using DenseNet Based Faster R-CNN With Gabor Features.
IEEE Access, 2019
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.
IEEE Trans. Medical Imaging, 2018
Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels<sup>#</sup>.
Comput. Methods Programs Biomed., 2018
A Novel Camera Based Approach for Automatic Expiry Date Detection and Recognition on Food Packages.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
2017
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI.
CoRR, 2017
Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network.
CoRR, 2017
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI.
Int. J. Comput. Assist. Radiol. Surg., 2017
Automated Polyp Segmentation in Colonoscopy Frames Using Fully Convolutional Neural Network and Textons.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016
Proceedings of the Image and Signal Processing - 7th International Conference, 2016
2015
Multilabel Region Classification and Semantic Linking for Colon Segmentation in CT Colonography.
IEEE Trans. Biomed. Eng., 2015
2014
Brain Tumour Grading in Different MRI Protocols using SVM on Statistical Features.
Proceedings of the Medical Image Understanding and Analysis, 2014
A Hybrid Method for Haemorrhage Segmentation in Trauma Brain CT.
Proceedings of the Medical Image Understanding and Analysis, 2014
2013
Nonedge-Specific Adaptive Scheme for Highly Robust Blind Motion Deblurring of Natural Imagess.
IEEE Trans. Image Process., 2013
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013
2011
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Int. J. Biomed. Imaging, 2010
Algorithms, 2010
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010
2009
IEEE Trans. Biomed. Eng., 2009
Image segmentation using joint spatial-intensity-shape features: application to CT lung nodule segmentation.
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Proceedings of the Medical Imaging 2009: Image Processing, 2009
Shape-Based CT Lung Nodule Segmentation Using Five-Dimensional Mean Shift Clustering and Mem with Shape Information.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
IEEE Trans. Medical Imaging, 2008
2007
Volumetric Quantification of Atherosclerotic Plaque in CT Considering Partial Volume Effect.
IEEE Trans. Medical Imaging, 2007
Automated detection of lung nodules in CT images using shape-based genetic algorithm.
Comput. Medical Imaging Graph., 2007
IEEE Computer Graphics and Applications, 2007
Proceedings of the Medical Imaging 2007: Image Processing, 2007
2006
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006
2003
Shape based region growing using derivatives of 3D medical images: application to semiautomated detection of pulmonary nodules.
Proceedings of the 2003 International Conference on Image Processing, 2003
2002
3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis based on Multiple Acoustic Windows.
IEEE Trans. Medical Imaging, 2002
High resolution segmentation of MR images of mouse heart chambers based on a partial-pixel effect and EM algorithm.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
2001
3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis Based on Multiple Acoustic Windows.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001