default search action
Xujiong Ye
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j27]Joshua E. Mckone, Tryphon Lambrou
, Xujiong Ye
Weakly supervised pre-training for brain tumor segmentation using principal axis measurements of tumor burden. Frontiers Comput. Sci. 6 (2024) - [j26]Kai Armstrong, Lei Zhang, Yan Wen
A marker-less human motion analysis system for motion-based biomarker identification and quantification in knee disorders. Frontiers Digit. Health 6 (2024) - [c38]Kimberley M. Bird, Xujiong Ye, Alan M. Race, James M. Brown:
Pushing the Limits of Cell Segmentation Models for Imaging Mass Cytometry. ISBI 2024: 1-5 - [i12]Kimberley M. Bird, Xujiong Ye, Alan M. Race, James M. Brown:
Pushing the limits of cell segmentation models for imaging mass cytometry. CoRR abs/2402.04446 (2024) - 2023
- [j25]Yan Wen
Rethinking the Transfer Learning for FCN Based Polyp Segmentation in Colonoscopy. IEEE Access 11: 16183-16193 (2023) - [j24]Ezechukwu I Nwokedi
Dual-Stream Spatiotemporal Networks with Feature Sharing for Monitoring Animals in the Home Cage. Sensors 23(23): 9532 (2023) - [c37]Kai Armstrong
Zero-dimensional biomarker based medical action recognition: towards more explainable AI in healthcare. ICBRA 2023: 143-148 - [i11]Kai Armstrong, Lei Zhang, Yan Wen, Alexander P. Willmott, Paul Lee, Xujiong Ye:
A marker-less human motion analysis system for motion-based biomarker discovery in knee disorders. CoRR abs/2304.13678 (2023) - 2022
- [c36]Wenting Duan, Lei Zhang, Jordan Colman, Giosue Gulli, Xujiong Ye:
MidFusNet: Mid-dense Fusion Network for Multi-modal Brain MRI Segmentation. BrainLes@MICCAI 2022: 102-114 - [i10]Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut
Dual-stream spatiotemporal networks with feature sharing for monitoring animals in the home cage. CoRR abs/2206.00614 (2022) - [i9]Yan Wen, Lei Zhang, Xiangli Meng, Xujiong Ye:
Rethinking the transfer learning for FCN based polyp segmentation in colonoscopy. CoRR abs/2211.02416 (2022) - 2021
- [j23]Alyaa Amer
ResDUnet: A Deep Learning-Based Left Ventricle Segmentation Method for Echocardiography. IEEE Access 9: 159755-159763 (2021) - [j22]Liyun Gong, Lu Zhang, Ming Zhu, Miao Yu, Ross Clifford, Carol Duff, Xujiong Ye
A novel computer vision-based data driven modelling approach for person specific fall detection. J. Ambient Intell. Smart Environ. 13(5): 373-387 (2021) - [j21]Liyun Gong, Mamatha Thota
A novel unified deep neural networks methodology for use by date recognition in retail food package image. Signal Image Video Process. 15(3): 449-457 (2021) - [j20]Noha M. Ghatwary
Learning Spatiotemporal Features for Esophageal Abnormality Detection From Endoscopic Videos. IEEE J. Biomed. Health Informatics 25(1): 131-142 (2021) - [c35]Alyaa Amer, Xujiong Ye, Faraz Janan:
Residual Dilated U-net For The Segmentation Of COVID-19 Infection From CT Images. ICCVW 2021: 462-470 - [c34]Wenting Duan, Lei Zhang
Multi-modal Brain Segmentation Using Hyper-Fused Convolutional Neural Network. MLCN@MICCAI 2021: 82-91 - [i8]Ezechukwu I Nwokedi, Rasneer Sonia Bains, Luc M. Bidaut, Sara Wells, Xujiong Ye, James M. Brown:
Unsupervised detection of mouse behavioural anomalies using two-stream convolutional autoencoders. CoRR abs/2106.00598 (2021) - 2020
- [j19]Ji Ni, Bowei Chen
A hybrid model for predicting human physical activity status from lifelogging data. Eur. J. Oper. Res. 281(3): 532-542 (2020) - [j18]Neda Azarmehr
An optimisation-based iterative approach for speckle tracking echocardiography. Medical Biol. Eng. Comput. 58(6): 1309-1323 (2020) - [c33]Benjamin Allison, Xujiong Ye, Faraz Janan:
Breast3D: An Augmented Reality System for Breast CT and MRI. AIVR 2020: 247-251 - [c32]Benjamin Allison, Xujiong Ye, Faraz Janan:
MIXR: A Standard Architecture for Medical Image Analysis in Augmented and Mixed Reality. AIVR 2020: 252-257 - [c31]Jordan Colman
DR-Unet104 for Multimodal MRI Brain Tumor Segmentation. BrainLes@MICCAI (2) 2020: 410-419 - [c30]Alyaa Amer, Xujiong Ye, Massoud Zolgharni
ResDUnet: Residual Dilated UNet for Left Ventricle Segmentation from Echocardiographic Images. EMBC 2020: 2019-2022 - [c29]Francesco Rundo, Giuseppe Luigi Banna
Advanced Non-linear Generative Model with a Deep Classifier for Immunotherapy Outcome Prediction: A Bladder Cancer Case Study. ICPR Workshops (1) 2020: 227-242 - [i7]Jordan Colman, Lei Zhang, Wenting Duan, Xujiong Ye:
DR-Unet104 for Multimodal MRI brain tumor segmentation. CoRR abs/2011.02840 (2020)
2010 – 2019
- 2019
- [j17]Noha M. Ghatwary
Esophageal Abnormality Detection Using DenseNet Based Faster R-CNN With Gabor Features. IEEE Access 7: 84374-84385 (2019) - [j16]Noha M. Ghatwary
Early esophageal adenocarcinoma detection using deep learning methods. Int. J. Comput. Assist. Radiol. Surg. 14(4): 611-621 (2019) - [j15]Lei Zhang
Automatic Individual Pig Detection and Tracking in Pig Farms. Sensors 19(5): 1188 (2019) - [c28]Abder-Rahman Ali, Jingpeng Li, Sally Jane O'Shea
A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images. IJCNN 2019: 1-7 - [c27]Noha M. Ghatwary, Massoud Zolgharni
GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images. MLMI@MICCAI 2019: 89-97 - [c26]Neda Azarmehr
Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning. MIUA 2019: 497-504 - [i6]Ji Ni, Bowei Chen, Nigel M. Allinson, Xujiong Ye:
A hybrid model for predicting human physical activity status from lifelogging data. CoRR abs/1905.10891 (2019) - [i5]Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Guang Yang, Nigel M. Allinson, Xujiong Ye:
MRI Brain Tumor Segmentation using Random Forests and Fully Convolutional Networks. CoRR abs/1909.06337 (2019) - 2018
- [j14]Mohammadreza Soltaninejad, Guang Yang
Supervised Learning based Multimodal MRI Brain Tumour Segmentation using Texture Features from Supervoxels#. Comput. Methods Programs Biomed. 157 (2018) - [j13]Guang Yang
DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction. IEEE Trans. Medical Imaging 37(6): 1310-1321 (2018) - [c25]Fabio De Sousa Ribeiro, Liyun Gong, Francesco Calivá, Mark Swainson, Kjartan Gudmundsson, Miao Yu
An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging. ICIP 2018: 2376-2380 - [c24]Liyun Gong, Miao Yu
A Novel Camera Based Approach for Automatic Expiry Date Detection and Recognition on Food Packages. AIAI 2018: 133-142 - [i4]Lei Zhang, Helen Gray, Xujiong Ye, Lisa Collins, Nigel M. Allinson:
Automatic individual pig detection and tracking in surveillance videos. CoRR abs/1812.04901 (2018) - 2017
- [j12]Mohammadreza Soltaninejad
Automated brain tumour detection and segmentation using superpixel-based extremely randomized trees in FLAIR MRI. Int. J. Comput. Assist. Radiol. Surg. 12(2): 183-203 (2017) - [c23]Guang Yang, Xiahai Zhuang
A fully automatic deep learning method for atrial scarring segmentation from late gadolinium-enhanced MRI images. ISBI 2017: 844-848 - [c22]Guang Yang, Xiahai Zhuang
Differentiation of pre-ablation and post-ablation late gadolinium-enhanced cardiac MRI scans of longstanding persistent atrial fibrillation patients. Computer-Aided Diagnosis 2017: 101340O - [c21]Noha M. Ghatwary
Automatic grade classification of Barretts Esophagus through feature enhancement. Computer-Aided Diagnosis 2017: 1013433 - [c20]Mohammadreza Soltaninejad, Lei Zhang
MRI Brain Tumor Segmentation and Patient Survival Prediction Using Random Forests and Fully Convolutional Networks. BrainLes@MICCAI 2017: 204-215 - [c19]Guang Yang, Xiahai Zhuang
Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI. Image Processing 2017: 1013313 - [c18]Guang Yang, Xiahai Zhuang
Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. MIUA 2017: 195-206 - [c17]Lei Zhang
Automated Polyp Segmentation in Colonoscopy Frames Using Fully Convolutional Neural Network and Textons. MIUA 2017: 707-717 - [c16]Noha M. Ghatwary, Amr Ahmed
Automated Detection of Barrett's Esophagus Using Endoscopic Images: A Survey. MIUA 2017: 897-908 - [i3]Mohammadreza Soltaninejad, Lei Zhang, Tryphon Lambrou, Nigel M. Allinson, Xujiong Ye:
Multimodal MRI brain tumor segmentation using random forests with features learned from fully convolutional neural network. CoRR abs/1704.08134 (2017) - [i2]Simiao Yu, Hao Dong, Guang Yang, Greg G. Slabaugh, Pier Luigi Dragotti, Xujiong Ye, Fangde Liu, Simon R. Arridge, Jennifer Keegan, David N. Firmin, Yike Guo:
Deep De-Aliasing for Fast Compressive Sensing MRI. CoRR abs/1705.07137 (2017) - [i1]Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Lei Li, Rick Wage, Xujiong Ye, Greg G. Slabaugh, Raad Mohiaddin, Tom Wong, Jennifer Keegan, David N. Firmin:
Fully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI. CoRR abs/1705.09529 (2017) - 2016
- [c15]Guang Yang
Super-Resolved Enhancement of a Single Image and Its Application in Cardiac MRI. ICISP 2016: 179-190 - [c14]Guang Yang
Combined self-learning based single-image super-resolution and dual-tree complex wavelet transform denoising for medical images. Image Processing 2016: 97840L - 2015
- [j11]Xiaoyun Yang, Xujiong Ye
Multilabel Region Classification and Semantic Linking for Colon Segmentation in CT Colonography. IEEE Trans. Biomed. Eng. 62(3): 948-959 (2015) - [e1]Tryphon Lambrou, Xujiong Ye:
Medical Image Understanding and Analysis - MIUA 2015. 19th Annual Conference, University of Lincoln, Lincoln, UK, July 15-17, 2015. BMVA 2015, ISBN 1-901725-54-5 [contents] - 2014
- [c13]Mohammadreza Soltaninejad, Tryphon Lambrou, Adnan Qureshi, Nigel M. Allinson, Xujiong Ye:
A Hybrid Method for Haemorrhage Segmentation in Trauma Brain CT. MIUA 2014: 99-104 - [c12]Mohammadreza Soltaninejad, Xujiong Ye, Guang Yang, Nigel M. Allinson, Tryphon Lambrou:
Brain Tumour Grading in Different MRI Protocols using SVM on Statistical Features. MIUA 2014: 259-264 - 2013
- [j10]Chao Wang, Yong Yue
Enhancing Bayesian Estimators for Removing Camera Shake. Comput. Graph. Forum 32(6): 113-125 (2013) - [j9]Chao Wang, Yong Yue
Nonedge-Specific Adaptive Scheme for Highly Robust Blind Motion Deblurring of Natural Imagess. IEEE Trans. Image Process. 22(3): 884-897 (2013) - [c11]Hui Wei, Youbing Zhao, Feng Dong, George Saleh, Xujiong Ye
A cross-platform approach to the treatment of ambylopia. BIBE 2013: 1-4 - 2011
- [c10]Xujiong Ye
Concavity analysis for reduction of ileocecal valve false positives in CTC. ISBI 2011: 173-176 - 2010
- [j8]Greg G. Slabaugh
A Robust and Fast System for CTC Computer-Aided Detection of Colorectal Lesions. Algorithms 3(1): 21-43 (2010) - [j7]Xujiong Ye
Automatic Graph Cut Segmentation of Lesions in CT Using Mean Shift Superpixels. Int. J. Biomed. Imaging 2010: 983963:1-983963:14 (2010) - [c9]Xujiong Ye
A Bayesian Approach for False Positive Reduction in CTC CAD. Virtual Colonoscopy and Abdominal Imaging 2010: 40-46
2000 – 2009
- 2009
- [j6]Xujiong Ye
Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images. IEEE Trans. Biomed. Eng. 56(7): 1810-1820 (2009) - [c8]Xujiong Ye
Shape-Based CT Lung Nodule Segmentation Using Five-Dimensional Mean Shift Clustering and Mem with Shape Information. ISBI 2009: 482-485 - [c7]Xujiong Ye
Image segmentation using joint spatial-intensity-shape features: application to CT lung nodule segmentation. Image Processing 2009: 72594V - [c6]Abdel Douiri
Enhanced detection in CT colonography using adaptive diffusion filtering. Image Processing 2009: 725923 - 2008
- [j5]Jamshid Dehmeshki, Hamdan Amin, Manlio Valdivieso Casique, Xujiong Ye
Segmentation of Pulmonary Nodules in Thoracic CT Scans: A Region Growing Approach. IEEE Trans. Medical Imaging 27(4): 467-480 (2008) - 2007
- [j4]Feng Dong
Multiscaled Texture Synthesis Using Multisized Pixel Neighborhoods. IEEE Computer Graphics and Applications 27(3): 41-47 (2007) - [j3]Jamshid Dehmeshki, Xujiong Ye
Automated detection of lung nodules in CT images using shape-based genetic algorithm. Comput. Medical Imaging Graph. 31(6): 408-417 (2007) - [j2]Jamshid Dehmeshki, Xujiong Ye
Volumetric Quantification of Atherosclerotic Plaque in CT Considering Partial Volume Effect. IEEE Trans. Medical Imaging 26(3): 273-282 (2007) - [c5]Yalin Zheng, Xiaoyun Yang, Xujiong Ye
Fully automatic segmentation of liver from multiphase liver CT. Image Processing 2007: 65122X - 2006
- [c4]Jamshid Dehmeshki, Xujiong Ye, Manlio Valdivieso Casique, Xinyu Lin:
A hybrid approach for automated detection of lung nodules in CT images. ISBI 2006: 506-509 - 2003
- [c3]Jamshid Dehmeshki, Xujiong Ye, John Costello:
Shape based region growing using derivatives of 3D medical images: application to semiautomated detection of pulmonary nodules. ICIP (1) 2003: 1085-1088 - 2002
- [j1]Xujiong Ye
3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis based on Multiple Acoustic Windows. IEEE Trans. Medical Imaging 21(9): 1051-1058 (2002) - [c2]Xujiong Ye
High resolution segmentation of MR images of mouse heart chambers based on a partial-pixel effect and EM algorithm. ISBI 2002: 257-260 - 2001
- [c1]Xujiong Ye
3D Freehand Echocardiography for Automatic Left Ventricle Reconstruction and Analysis Based on Multiple Acoustic Windows. MICCAI 2001: 778-785
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-28 21:28 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: