Xujiong Ye

According to our database1, Xujiong Ye authored at least 69 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Pushing the limits of cell segmentation models for imaging mass cytometry.
CoRR, 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

Rethinking the Transfer Learning for FCN Based Polyp Segmentation in Colonoscopy.
IEEE Access, 2023

2022
MidFusNet: Mid-dense Fusion Network for Multi-modal Brain MRI Segmentation.
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

Multi-modal Brain Segmentation Using Hyper-Fused Convolutional Neural Network.
Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

Residual Dilated U-net For The Segmentation Of COVID-19 Infection From CT Images.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
An optimisation-based iterative approach for speckle tracking echocardiography.
Medical Biol. Eng. Comput., 2020

A hybrid model for predicting human physical activity status from lifelogging data.
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

DR-Unet104 for Multimodal MRI Brain Tumor Segmentation.
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

Breast3D: An Augmented Reality System for Breast CT and MRI.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2020

2019
Automatic Individual Pig Detection and Tracking in Pig Farms.
Sensors, 2019

MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks.
CoRR, 2019

Early esophageal adenocarcinoma detection using deep learning methods.
Int. J. Comput. Assist. Radiol. Surg., 2019

Esophageal Abnormality Detection Using DenseNet Based Faster R-CNN With Gabor Features.
IEEE Access, 2019

Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning.
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

Automatic individual pig detection and tracking in surveillance videos.
CoRR, 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
Deep De-Aliasing for Fast Compressive Sensing MRI.
CoRR, 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

Automated Detection of Barrett's Esophagus Using Endoscopic Images: A Survey.
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

Automatic grade classification of Barretts Esophagus through feature enhancement.
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

Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI.
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

Enhancing Bayesian Estimators for Removing Camera Shake.
Comput. Graph. Forum, 2013

A cross-platform approach to the treatment of ambylopia.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2011
Concavity analysis for reduction of ileocecal valve false positives in CTC.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels.
Int. J. Biomed. Imaging, 2010

A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions.
Algorithms, 2010

A Bayesian Approach for False Positive Reduction in CTC CAD.
Proceedings of the Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities, 2010

2009
Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images.
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

Enhanced detection in CT colonography using adaptive diffusion filtering.
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
Segmentation of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach.
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

Multiscaled Texture Synthesis Using Multisized Pixel Neighborhoods.
IEEE Computer Graphics and Applications, 2007

Fully automatic segmentation of liver from multiphase liver CT.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006
A hybrid approach for automated detection of lung nodules in CT images.
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


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