Su Ruan

According to our database1, Su Ruan authored at least 149 papers between 1994 and 2022.

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

Book
In proceedings
Article
PhD thesis
Other

Bibliography

2022
Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation.
Pattern Recognit. Lett., 2022

A Tri-Attention fusion guided multi-modal segmentation network.
Pattern Recognit., 2022

Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images.
Pattern Recognit., 2022

Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction.
J. Imaging, 2022

Lymphoma segmentation from 3D PET-CT images using a deep evidential network.
Int. J. Approx. Reason., 2022

A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction.
Entropy, 2022

Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436.
Entropy, 2022

A novel adversarial learning strategy for medical image classification.
CoRR, 2022

Application of belief functions to medical image segmentation: A review.
CoRR, 2022

Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images.
CoRR, 2022

Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities.
IEEE Trans. Image Process., 2021

Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism.
Int. J. Imaging Syst. Technol., 2021

Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities.
Neurocomputing, 2021

AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics.
CoRR, 2021

Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy.
CoRR, 2021

A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers.
Bioinform., 2021

Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Covid-19 Classification with Deep Neural Network and Belief Functions.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021

Evidential Segmentation of 3D PET/CT Images.
Proceedings of the Belief Functions: Theory and Applications, 2021

2020
Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks".
IEEE Trans. Biomed. Eng., 2020

Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian.
Digit. Signal Process., 2020

An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism.
CoRR, 2020

Weakly Supervised PET Tumor Detection Using Class Response.
CoRR, 2020

Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation.
Comput. Medical Imaging Graph., 2020

Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation.
Comput. Biol. Medicine, 2020

Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

SegTHOR: Segmentation of Thoracic Organs at Risk in CT images.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy.
Proceedings of the Tenth International Conference on Image Processing Theory, 2020

3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Proceedings of the ICBRA 2020: 7th International Conference on Bioinformatics Research and Applications, 2020

2019
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions.
IEEE Trans. Image Process., 2019

Mixed Integer Programming For Sparse Coding: Application to Image Denoising.
IEEE Trans. Computational Imaging, 2019

Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images.
Multim. Syst., 2019

Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy.
Int. J. Comput. Assist. Radiol. Surg., 2019

A review: Deep learning for medical image segmentation using multi-modality fusion.
Array, 2019

Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images.
Proceedings of the 12th International Congress on Image and Signal Processing, 2019

A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Medical Image Synthesis with Deep Convolutional Adversarial Networks.
IEEE Trans. Biomed. Eng., 2018

Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images.
IEEE Trans. Biomed. Eng., 2018

A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.
Medical Image Anal., 2018

Semi-automatic lymphoma detection and segmentation using fully conditional random fields.
Comput. Medical Imaging Graph., 2018

K-SVD with a Real ℓ0 Optimization: Application to Image Denoising.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Active learning with noise modeling for medical image annotation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

3D lymphoma detection in PET-CT images with supervoxel and CRFs.
Proceedings of the Eighth International Conference on Image Processing Theory, 2018

Feature selection and classification using multiple kernel learning for brain tumor segmentation.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions.
IEEE Trans. Image Process., 2017

Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire.
CoRR, 2017

Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier.
Comput. Medical Imaging Graph., 2017

3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs.
Proceedings of the Molecular Imaging, Reconstruction and Analysis of Moving Body Organs, and Stroke Imaging and Treatment, 2017

Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

Medical Image Synthesis with Context-Aware Generative Adversarial Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Fully automated esophagus segmentation with a hierarchical deep learning approach.
Proceedings of the 2017 IEEE International Conference on Signal and Image Processing Applications, 2017

Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Dissimilarity Metric Learning in the Belief Function Framework.
IEEE Trans. Fuzzy Syst., 2016

Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction.
Medical Image Anal., 2016

Multilabel statistical shape prior for image segmentation.
IET Image Process., 2016

Medical Image Synthesis with Context-Aware Generative Adversarial Networks.
CoRR, 2016

Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Comparison of 2D and 3D region-based deformable models and random walker methods for PET segmentation.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

Joint Feature Transformation and Selection Based on Dempster-Shafer Theory.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

2015
An evidential classifier based on feature selection and two-step classification strategy.
Pattern Recognit., 2015

Right ventricle segmentation from cardiac MRI: A collation study.
Medical Image Anal., 2015

Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images.
Medical Image Anal., 2015

Robust feature selection to predict tumor treatment outcome.
Artif. Intell. Medicine, 2015

Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference Munich, Germany, October 5, 2015

Outcome prediction in tumour therapy based on Dempster-Shafer theory.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Segmentation of pelvic organs at risk using superpixels and graph diffusion in prostate radiotherapy.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Modelling and Tracking of Deformable Structures in Medical Images.
Proceedings of the Image and Graphics - 8th International Conference, 2015

2014
Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET.
IEEE Trans. Medical Imaging, 2014

Fusion of multi-tracer PET images for dose painting.
Medical Image Anal., 2014

Eikonal-based region growing for efficient clustering.
Image Vis. Comput., 2014

Dealing with uncertainty and imprecision in image segmentation using belief function theory.
Int. J. Approx. Reason., 2014

Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm.
Comput. Medical Imaging Graph., 2014

Factor analysis-based approach for early uptake automatic quantification of breast cancer by <sup>18</sup>F-FDG PET images sequence.
Biomed. Signal Process. Control., 2014

Statistical Models of Shape and Spatial Relation-application to Hippocampus Segmentation.
Proceedings of the VISAPP 2014, 2014

Automatic lung tumor segmentation on PET images based on random walks and tumor growth model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Prostate cancer segmentation from multiparametric MRI based on fuzzy Bayesian model.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Joint segmentation of right and left cardiac ventricles using multi-label graph cut.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

3D automated lymphoma segmentation in PET images based on cellular automata.
Proceedings of the 4th International Conference on Image Processing Theory, 2014

Myocardium segmentation using a priori knowledge of shape and a spatial relation.
Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014

Brain tumor segmentation from multiple MRI sequences using multiple kernel learning.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Advanced approach for PET breast cancer segmentation based on FAMIS methodology.
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014

2013
Graph cut segmentation with a statistical shape model in cardiac MRI.
Comput. Vis. Image Underst., 2013

Nonrigid Medical Image Registration Based on Mesh Deformation Constraints.
Comput. Math. Methods Medicine, 2013

Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut.
Comput. Math. Methods Medicine, 2013

Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Signal Separation with A Priori Knowledge Using Sparse Representation.
Proceedings of the Advances in Heuristic Signal Processing and Applications, 2013

2012
Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

3D random walk based segmentation for lung tumor delineation in PET imaging.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Analyzing the intrinsic relations between the diffusion and fluid deformable registration methods.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
Kernel feature selection to fuse multi-spectral MRI images for brain tumor segmentation.
Comput. Vis. Image Underst., 2011

A priori knowledge based frequency-domain quantification of prostate Magnetic Resonance Spectroscopy.
Biomed. Signal Process. Control., 2011

Image fusion for following-up brain tumor evolution.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
A Sparse Representation Method for Magnetic Resonance Spectroscopy Quantification.
IEEE Trans. Biomed. Eng., 2010

Brain Magnetic Resonance Image.
Stud. Inform. Univ., 2010

A topology preserving non-rigid registration algorithm with integration shape knowledge to segment brain subcortical structures from MRI images.
Pattern Recognit., 2010

Fusion and classification of multi-source images by SVM with selected features in a kernel space.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Binary pattern matching from a local dissimilarity measure.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

Graph cut segmentation technique for MRI brain tumor extraction.
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010

An automatic method of brain tumor segmentation from MRI volume based on the symmetry of brain and level set method.
Proceedings of the Second International Conference on Digital Image Processing, 2010

2009
Multi-kernel SVM based classification for brain tumor segmentation of MRI multi-sequence.
Proceedings of the International Conference on Image Processing, 2009

Ornamental Letters Image Classification Using Local Dissimilarity Maps.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Spectrum separation of Magnetic Resonance Spectroscopy based on sparse representation.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Binary-image comparison with local-dissimilarity quantification.
Pattern Recognit., 2008

Segmentation of Brain Internal Structures Automatically Using Non-rigid Registration with Simultaneous Intensity and Geometric Match.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008

2007
A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images.
Image Vis. Comput., 2007

Fuzzy kappa for the agreement measure of fuzzy classifications.
Neurocomputing, 2007

MRI segmentation using multifractal analysis and MRF models.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Automated tumor segmentation using level set methods.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Tumor Segmentation from a Multispectral MRI Images by Using Support Vector Machine Classification.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
A Smart Identification Card System Using Facial Biometric: From Architecture to Application.
Proceedings of the Ubiquitous Intelligence and Computing, Third International Conference, 2006

A fast binary-image comparison method with local-dissimilarity quantification.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
A Robust and Efficient Algorithm for Eye Detection on Gray Intensity Face.
Proceedings of the Pattern Recognition and Image Analysis, 2005

Histogram-Based Generation Method of Membership Function for Extracting Features of Brain Tissues on MRI Images.
Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

A novel scheme of face verification using active appearance models.
Proceedings of the Advanced Video and Signal Based Surveillance, 2005

2004
Possibilistic-clustering-based MR brain image segmentation with accurate initialization.
Proceedings of the Visual Communications and Image Processing 2004, 2004

Dual Front Evolution Model and Its Application in Medical Imaging.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Segmentation based on information fusion applied to brain tissue on MRI.
Proceedings of the Image Processing: Algorithms and Systems III, 2004

A Multi-Label Front Propagation Approach for Object Segmentation.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

3d medical image segmentation approach based on multi-label front propagation.
Proceedings of the 2004 International Conference on Image Processing, 2004

A new similarity measure using hausdorff distance map.
Proceedings of the 2004 International Conference on Image Processing, 2004

Segmentation of anatomical structures from 3D brain MRI using automatically-built statistical shape models.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
Fuzzy Information Fusion Scheme Used to Segment Brain Tumor from MR Images.
Proceedings of the Fuzzy Logic and Applications, 5th International Workshop, 2003

Knowledge based fuzzy information fusion applied to classification of abnormal brain tissues from MRI.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Automatic atlas-based building of point distribution model for segmentation of anatomical structures from brain MRI.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

2002
Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images.
Comput. Vis. Image Underst., 2002

Cerebral magnetic resonance image segmentation using fuzzy Markov Random Fields.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
Knowledge-based segmentation and labeling of brain structures from MRI images.
Pattern Recognit. Lett., 2001

On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series.
Medical Image Anal., 2001

Segmentation of magnetic resonance images using fuzzy Markov random fields.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling.
IEEE Trans. Medical Imaging, 2000

Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images.
Medical Image Anal., 2000

Unsupervised Segmentation of Three-Dimensional Brain Images.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation.
Proceedings of the 2000 International Conference on Image Processing, 2000

1995
Detection of Brain Activation from MRI Data by Likelihood-Ratio Test.
Proceedings of the Computer Vision, 1995

1994
Three-dimensional motion and reconstruction of coronary arteries from biplane cineangiography.
Image Vis. Comput., 1994