Su Ruan
Orcid: 0000-0001-8785-6917
According to our database1,
Su Ruan
authored at least 164 papers
between 1994 and 2024.
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Bibliography
2024
Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention.
Int. J. Comput. Assist. Radiol. Surg., February, 2024
2023
Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning.
Comput. Medical Imaging Graph., June, 2023
Comput. Medical Imaging Graph., March, 2023
J. Imaging, 2023
Inf. Fusion, 2023
Neurocomputing, 2023
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks.
CoRR, 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods.
CoRR, 2023
Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation.
CoRR, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy.
Proceedings of the Twelfth International Conference on Image Processing Theory, 2023
2022
Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation.
Pattern Recognit. Lett., 2022
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
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
Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images.
Comput. Biol. Medicine, 2022
Comput. Biol. Medicine, 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
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 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
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation.
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021
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
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
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
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
RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images.
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
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
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
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
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
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
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
Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier.
Comput. Medical Imaging Graph., 2017
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
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
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
IEEE Trans. Fuzzy Syst., 2016
Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction.
Medical Image Anal., 2016
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
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
Medical Image Anal., 2015
Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images.
Medical Image Anal., 2015
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
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
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
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
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014
Proceedings of the 4th International Conference on Image Processing Theory, 2014
Proceedings of the 4th International Conference on Multimedia Computing and Systems, 2014
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
Proceedings of the 2014 1st International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 2014
2013
Comput. Vis. Image Underst., 2013
Comput. Math. Methods Medicine, 2013
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
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
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
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
IEEE Trans. Biomed. Eng., 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
Proceedings of the 2nd International Conference on Image Processing Theory Tools and Applications, 2010
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
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
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
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
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
2005
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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004
Proceedings of the Image Processing: Algorithms and Systems III, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the 2004 International Conference on Image Processing, 2004
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
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
Comput. Vis. Image Underst., 2002
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002
2001
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
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
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Proceedings of the 2000 International Conference on Image Processing, 2000
1995
Proceedings of the Computer Vision, 1995
1994
Three-dimensional motion and reconstruction of coronary arteries from biplane cineangiography.
Image Vis. Comput., 1994