Su Ruan - RankMe

217 papers A 1B 11C 3Misc 3Journal 118Unranked 79

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hierarchical teacher-student learning framework with adaptive cross-modal fusion for brain tumor segmentation. Expert Syst. Appl. Tongxue Zhou, Su Ruan, Jinming Duan, Haigen Hu, Yanda Meng, Ling Huang, Defu Yang, Bingbing Jiang, Tingjin Luo, Zhiwei Ji, Baiying Lei
2026	J	`jnl`	A reliable framework for brain tumor segmentation via multi-modal fusion and uncertainty modeling. Inf. Fusion Tongxue Zhou, Mingyang Li, Su Ruan, Tingjin Luo, Bingbing Jiang, Junan Zhu, Ping Ma, Defu Yang, Guang Yang
2026	J	`jnl`	Artificial intelligence in microscopic hair imaging for scalp disorders: From image acquisition to clinical decisions. Medical Image Anal. Chenquan Gong, Yiping Su, Su Ruan, Haigen Hu
2026	J	`jnl`	BUFNet: Boundary-aware and uncertainty-driven multi-modal fusion network for MR brain tumor segmentation. Medical Image Anal. Tongxue Zhou, Su Ruan, Baiying Lei
2026	J	`jnl`	DFuse-Net: Disentangled feature fusion with uncertainty-aware learning for reliable multi-modal brain tumor segmentation. Medical Image Anal. Tongxue Zhou, Zheng Wang, Su Ruan, Yanda Meng, Jinming Duan, Baiying Lei
2026	J	`jnl`	EsurvFusion: An Evidential Multimodal Survival Fusion Model Based on Epistemic Random Fuzzy Sets. IEEE Trans. Fuzzy Syst. Ling Huang, Yucheng Xing, Qika Lin, Jinming Duan, Su Ruan, Mengling Feng
2026	J	`jnl`	Global and local Mamba network for multi-modality medical image super-resolution. Pattern Recognit. Zexin Ji, Beiji Zou, Xiaoyan Kui, Sébastien Thureau, Su Ruan
2025	J	`jnl`	A Multimodal and Multi-centric Head and Neck Cancer Dataset for Segmentation, Diagnosis and Outcome Prediction. CoRR Numan Saeed, Salma Hassan, Shahad Hardan, Ahmed Aly, Darya Taratynova, Umair Nawaz, Ufaq Khan, Muhammad Ridzuan, Vincent Andrearczyk, Adrien Depeursinge, Yutong Xie, Thomas Eugene, Raphaël Metz, Mélanie Dore, Gregory Delpon, Vijay Ram Papineni, Kareem A. Wahid, Cem Dede, Alaa Mohamed Shawky Ali, Carlos Sjogreen, Mohamed A. Naser, Clifton D. Fuller, Valentin Oreiller, Mario Jreige, John O. Prior, Catherine Cheze Le Rest, Olena Tankyevych, Pierre Decazes, Su Ruan, Stephanie Tanadini-Lang, Martin Vallières, Hesham Elhalawani, Ronan Abgral, Romain Floch, Kevin Kerleguer, Ulrike Schick, Maelle Mauguen, David Bourhis, Jean-Christophe Leclere, Amandine Sambourg, Arman Rahmim, Mathieu Hatt, Mohammad Yaqub
2025	—	`conf`	AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation. ISBI Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2025	J	`jnl`	AMM-Diff: Adaptive Multi-Modality Diffusion Network for Missing Modality Imputation. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2025	J	`jnl`	Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation. Inf. Fusion Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2025	J	`jnl`	Generation of super-resolution for medical image via a self-prior guided Mamba network with edge-aware constraint. Pattern Recognit. Lett. Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2025	J	`jnl`	Global and Local Mamba Network for Multi-Modality Medical Image Super-Resolution. CoRR Zexin Ji, Beiji Zou, Xiaoyan Kui, Sébastien Thureau, Su Ruan
2025	J	`jnl`	Iterative Collaboration Network Guided by Reconstruction Prior for Medical Image Super-Resolution. IEEE Trans. Computational Imaging Xiaoyan Kui, Zexin Ji, Beiji Zou, Yang Li, Yulan Dai, Liming Chen, Pierre Vera, Su Ruan
2025	J	`jnl`	Mamba Based Feature Extraction And Adaptive Multilevel Feature Fusion For 3D Tumor Segmentation From Multi-modal Medical Image. CoRR Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2025	—	`conf`	Mamba Based Feature Extraction and Adaptive Multilevel Feature Fusion for 3D Tumor Segmentation from Multi-modal Medical Image. ICIC (28) Zexin Ji, Beiji Zou, Xiaoyan Kui, Hua Li, Pierre Vera, Su Ruan
2025	J	`jnl`	Multi-Task Diffusion Approach For Prediction of Glioma Tumor Progression. CoRR Aghiles Kebaili, Romain Modzelewski, Jérôme Lapuyade-Lahorgue, Maxime Fontanilles, Sébastien Thureau, Su Ruan
2025	J	`jnl`	Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation. Comput. Medical Imaging Graph. Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024	—	`conf`	3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes. ISBI Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024	J	`jnl`	3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024	J	`jnl`	A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods. Medical Image Anal. Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng
2024	J	`jnl`	AutoPETIII: The Tracer Frontier. What Frontier? CoRR Zacharia Mesbah, Léo Mottay, Romain Modzelewski, Pierre Decazes, Sébastien Hapdey, Su Ruan, Sébastien Thureau
2024	—	`conf`	Deform-Mamba Network for MRI Super-Resolution. MICCAI (7) Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan
2024	J	`jnl`	Deform-Mamba Network for MRI Super-Resolution. CoRR Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan
2024	J	`jnl`	Discriminative Hamiltonian Variational Autoencoder for Accurate Tumor Segmentation in Data-Scarce Regimes. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024	J	`jnl`	Discriminative Hamiltonian variational autoencoder for accurate tumor segmentation in data-scarce regimes. Neurocomputing Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2024	J	`jnl`	Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention. Int. J. Comput. Assist. Radiol. Surg. Fethi Ghazouani, Pierre Vera, Su Ruan
2024	J	`jnl`	EsurvFusion: An evidential multimodal survival fusion model based on Gaussian random fuzzy numbers. CoRR Ling Huang, Yucheng Xing, Qika Lin, Su Ruan, Mengling Feng
2024	—	`conf`	Neonatal Hypoxic Ischemic Encephalopathy Severity Grading Using Multimodal Swin Transformer. ISBI Thibaud Brochet, Kangfu Han, Jiale Cheng, Fenqiang Zhao, Jérôme Lapuyade-Lahorgue, Su Ruan, Yi-Fang Tu, Sheng-Che Hung, Gang Li
2024	—	`conf`	Neural Ordinary Differential Equations for Dynamic Dual-Tracer PET Image Separation in Silico. MICAD Léo Mottay, Hugo Hamon, Pierre Decazes, Sébastien Hapdey, Su Ruan
2024	J	`jnl`	Self-Prior Guided Mamba-UNet Networks for Medical Image Super-Resolution. CoRR Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan
2024	—	`conf`	Self-prior Guided Mamba-UNet Networks for Medical Image Super-Resolution. ICPR (11) Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan
2023	J	`jnl`	A literature survey of MR-based brain tumor segmentation with missing modalities. Comput. Medical Imaging Graph. Tongxue Zhou, Su Ruan, Haigen Hu
2023	J	`jnl`	A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods. CoRR Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng
2023	J	`jnl`	Application of belief functions to medical image segmentation: A review. Inf. Fusion Ling Huang, Su Ruan, Thierry Denoeux
2023	J	`jnl`	Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan
2023	J	`jnl`	Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. J. Imaging Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan
2023	J	`jnl`	Deep evidential fusion with uncertainty quantification and contextual discounting for multimodal medical image segmentation. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2023	—	`conf`	End-to-End Autoencoding Architecture for the Simultaneous Generation of Medical Images and Corresponding Segmentation Masks. MICAD Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2023	J	`jnl`	End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks. CoRR Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2023	—	`conf`	One-shot Learning for DLBCL Segmentation in Whole Body PET/CT Images. ISBI Lixin Zhang, Yulun Sun, Pierre Decazes, Su Ruan, Yu Guo, Hui Yu
2023	—	`conf`	Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy. IPTA Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Hua Li, Pierre Vera, Pierre Decazes, Su Ruan
2023	J	`jnl`	Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. Comput. Medical Imaging Graph. Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2023	J	`jnl`	Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning. CoRR Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2023	J	`jnl`	Semi-supervised multiple evidence fusion for brain tumor segmentation. Neurocomputing Ling Huang, Su Ruan, Thierry Denoeux
2022	J	`jnl`	A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction. CoRR Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2022	J	`jnl`	A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2022	J	`jnl`	A Tri-Attention fusion guided multi-modal segmentation network. Pattern Recognit. Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
2022	J	`jnl`	A novel adversarial learning strategy for medical image classification. CoRR Zong Fan, Xiaohui Zhang, Jacob A. Gasienica, Jennifer Potts, Su Ruan, Wade Thorstad, Hiram Gay, Xiaowei Wang, Hua Li
2022	J	`jnl`	Application of belief functions to medical image segmentation: A review. CoRR Ling Huang, Su Ruan
2022	J	`jnl`	Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436. Entropy Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat, Vincent Grégoire, Pierre Vera, Su Ruan
2022	—	`conf`	Deep Learning Based Radiomics to Predict Treatment Response Using Multi-datasets. MICAD Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Isabelle Gardin, Romain Modzelewski, David Gibon, Juliette Thariat, Vincent Grégoire, Pierre Vera, Su Ruan
2022	J	`jnl`	Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images. Pattern Recognit. Haigen Hu, Leizhao Shen, Qiu Guan, Xiaoxin Li, Qianwei Zhou, Su Ruan
2022	—	`conf`	Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. MICCAI (5) Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2022	J	`jnl`	Evidence fusion with contextual discounting for multi-modality medical image segmentation. CoRR Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan
2022	J	`jnl`	Lymphoma segmentation from 3D PET-CT images using a deep evidential network. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2022	J	`jnl`	Lymphoma segmentation from 3D PET-CT images using a deep evidential network. Int. J. Approx. Reason. Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2022	J	`jnl`	Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation. Pattern Recognit. Lett. Tongxue Zhou, Pierre Vera, Stéphane Canu, Su Ruan
2022	J	`jnl`	Multi-Task Multi-Scale Learning For Outcome Prediction in 3D PET Images. CoRR Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2022	J	`jnl`	Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images. Comput. Biol. Medicine Zhengshan Huang, Yu Guo, Ning Zhang, Xian Huang, Pierre Decazes, Stéphanie Becker, Su Ruan
2022	J	`jnl`	Multi-task multi-scale learning for outcome prediction in 3D PET images. Comput. Biol. Medicine Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2022	—	`conf`	Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge
2022	B	`conf`	Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning. ICPR Tongxue Zhou, Alexandra Noeuveglise, Fethi Ghazouani, Romain Modzelewski, Sébastien Thureau, Maxime Fontanilles, Su Ruan
2022	J	`jnl`	Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction. J. Imaging Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2021	J	`jnl`	3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	—	`conf`	A Dual Supervision Guided Attentional Network for Multimodal MR Brain Tumor Segmentation. MICAD Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	A Tri-attention Fusion Guided Multi-modal Segmentation Network. CoRR Tongxue Zhou, Su Ruan, Pierre Vera, Stéphane Canu
2021	J	`jnl`	A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers. Bioinform. Shenghua He, Chunfeng Lian, Wade Thorstad, Hiram Gay, Yujie Zhao, Su Ruan, Xiaowei Wang, Hua Li
2021	J	`jnl`	AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. CoRR Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim
2021	J	`jnl`	Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism. Int. J. Imaging Syst. Technol. Tongxue Zhou, Stéphane Canu, Su Ruan
2021	—	`conf`	Belief Function-Based Semi-Supervised Learning For Brain Tumor Segmentation. ISBI Ling Huang, Su Ruan, Thierry Denoeux
2021	J	`jnl`	Belief function-based semi-supervised learning for brain tumor segmentation. CoRR Ling Huang, Su Ruan, Thierry Denoeux
2021	C	`conf`	Covid-19 Classification with Deep Neural Network and Belief Functions. BIBE Ling Huang, Su Ruan, Thierry Denoeux
2021	J	`jnl`	Covid-19 classification with deep neural network and belief functions. CoRR Ling Huang, Su Ruan, Thierry Denoeux
2021	J	`jnl`	Deep Co-supervision and Attention Fusion Strategy for Automatic COVID-19 Lung Infection Segmentation on CT Images. CoRR Haigen Hu, Leizhao Shen, Qiu Guan, Xiaoxin Li, Qianwei Zhou, Su Ruan
2021	—	`conf`	Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. MLMI@MICCAI Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2021	J	`jnl`	Deep PET/CT fusion with Dempster-Shafer theory for lymphoma segmentation. CoRR Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan
2021	J	`jnl`	Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy. CoRR Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Sébastien Bougleux, Mathieu Salaün, Su Ruan
2021	—	`conf`	Deep learning-based multi-class COVID-19 classification with x-ray images. Image-Guided Procedures Zong Fan, Shenghua He, Su Ruan, Xiaowei Wang, Hua Li
2021	—	`conf`	Evidential Segmentation of 3D PET/CT Images. BELIEF Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2021	J	`jnl`	Evidential segmentation of 3D PET/CT images. CoRR Ling Huang, Su Ruan, Pierre Decazes, Thierry Denoeux
2021	J	`jnl`	Feature-enhanced Generation and Multi-modality Fusion based Deep Neural Network for Brain Tumor Segmentation with Missing MR Modalities. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Feature-enhanced generation and multi-modality fusion based deep neural network for brain tumor segmentation with missing MR modalities. Neurocomputing Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities. IEEE Trans. Image Process. Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2021	J	`jnl`	Latent Correlation Representation Learning for Brain Tumor Segmentation with Missing MRI Modalities. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	B	`conf`	3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. ICPR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	—	`conf`	A Multi-Modality Fusion Network Based on Attention Mechanism for Brain Tumor Segmentation. ISBI Tongxue Zhou, Su Ruan, Yu Guo, Stéphane Canu
2020	J	`jnl`	A review: Deep learning for medical image segmentation using multi-modality fusion. CoRR Tongxue Zhou, Su Ruan, Stéphane Canu
2020	J	`jnl`	An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism. CoRR Tongxue Zhou, Stéphane Canu, Su Ruan
2020	—	`conf`	Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. MICCAI (4) Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	J	`jnl`	Brain tumor segmentation with missing modalities via latent multi-source correlation representation. CoRR Tongxue Zhou, Stéphane Canu, Pierre Vera, Su Ruan
2020	J	`jnl`	Corrections to "Medical Image Synthesis With Deep Convolutional Adversarial Networks". IEEE Trans. Biomed. Eng. Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2020	—	`conf`	Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction. ISBI Yu Guo, Pierre Decazes, Stéphanie Becker, Hua Li, Su Ruan
2020	—	`conf`	Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy. IPTA Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Sébastien Bougleux, Mathieu Salaün, Su Ruan
2020	J	`jnl`	Fusion based on attention mechanism and context constraint for multi-modal brain tumor segmentation. Comput. Medical Imaging Graph. Tongxue Zhou, Stéphane Canu, Su Ruan
2020	J	`jnl`	Incoherent dictionary learning via mixed-integer programming and hybrid augmented Lagrangian. Digit. Signal Process. Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2020	—	`conf`	Lymphoma Segmentation in PET Images Based on Multi-view and Conv3D Fusion Strategy. ISBI Haigen Hu, Leizhao Shen, Tongxue Zhou, Pierre Decazes, Pierre Vera, Su Ruan
2020	J	`jnl`	Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation. Comput. Biol. Medicine Amine Amyar, Romain Modzelewski, Hua Li, Su Ruan
2020	—	`conf`	RADIOGAN: Deep Convolutional Conditional Generative Adversarial Network to Generate PET Images. ICBRA Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
2020	J	`jnl`	RADIOGAN: Deep Convolutional Conditional Generative adversarial Network To Generate PET Images. CoRR Amine Amyar, Su Ruan, Pierre Vera, Pierre Decazes, Romain Modzelewski
2020	—	`conf`	SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. IPTA Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan
2020	J	`jnl`	Weakly Supervised PET Tumor Detection Using Class Response. CoRR Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan
2019	—	`conf`	A Background-based Data Enhancement Method for Lymphoma Segmentation in 3D PET Images. BIBM Haigen Hu, Chao Du, Qiu Guan, Qianwei Zhou, Pierre Vera, Su Ruan
2019	—	`conf`	A Prior Knowledge Intergrated Scheme for Detection and Segmentation of Lymphomas in 3D PET Images based on DBSCAN and GAs. BIBM Haigen Hu, Chao Du, Pierre Decazes, Pierre Vera, Su Ruan
2019	J	`jnl`	A review: Deep learning for medical image segmentation using multi-modality fusion. Array Tongxue Zhou, Su Ruan, Stéphane Canu
2019	J	`jnl`	Adaptive kernelized evidential clustering for automatic 3D tumor segmentation in FDG-PET images. Multim. Syst. Fan Wang, Chunfeng Lian, Pierre Vera, Su Ruan
2019	—	`conf`	Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI. MLMI@MICCAI Tongxue Zhou, Su Ruan, Haigen Hu, Stéphane Canu
2019	J	`jnl`	Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy. Int. J. Comput. Assist. Radiol. Surg. Haigen Hu, Pierre Decazes, Pierre Vera, Hua Li, Su Ruan
2019	—	`conf`	Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images. CISP-BMEI Haigen Hu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan
2019	J	`jnl`	Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions. IEEE Trans. Image Process. Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2019	J	`jnl`	Mixed Integer Programming For Sparse Coding: Application to Image Denoising. IEEE Trans. Computational Imaging Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2019	—	`ed.`	Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, SegTHOR@ISBI 2019, April 8, 2019 SegTHOR@ISBI Caroline Petitjean, Su Ruan, Zoé Lambert, Bernard Dubray
2019	J	`jnl`	SegTHOR: Segmentation of Thoracic Organs at Risk in CT images. CoRR Zoé Lambert, Caroline Petitjean, Bernard Dubray, Su Ruan
2018	—	`conf`	3D lymphoma detection in PET-CT images with supervoxel and CRFs. IPTA Jierui Zha, Pierre Decazes, Jérôme Lapuyade, Abderrahim Elmoataz, Su Ruan
2018	J	`jnl`	A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images. Medical Image Anal. Jian Wu, Thomas R. Mazur, Su Ruan, Chunfeng Lian, Nalini Daniel, Hilary Lashmett, Laura Ochoa, Imran Zoberi, Mark A. Anastasio, H. Michael Gach, Sasa Mutic, Maria Thomas, Hua Li
2018	—	`conf`	Active learning with noise modeling for medical image annotation. ISBI Jian Wu, Su Ruan, Chunfeng Lian, Sasa Mutic, Mark A. Anastasio, Hua Li
2018	Misc	`conf`	Feature selection and classification using multiple kernel learning for brain tumor segmentation. ATSIP Naouel Boughattas, Maxime Berar, Kamel Hamrouni, Su Ruan
2018	—	`conf`	Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method. ISBI Jian Wu, Su Ruan, Thomas R. Mazur, Nalini Daniel, Hilary Lashmett, Laura Ochoa, Imran Zoberi, Chunfeng Lian, H. Michael Gach, Sasa Mutic, Maria Thomas, Mark A. Anastasio, Hua Li
2018	—	`conf`	K-SVD with a Real ℓ0 Optimization: Application to Image Denoising. MLSP Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2018	J	`jnl`	Medical Image Synthesis with Deep Convolutional Adversarial Networks. IEEE Trans. Biomed. Eng. Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2018	J	`jnl`	Semi-automatic lymphoma detection and segmentation using fully conditional random fields. Comput. Medical Imaging Graph. Yuntao Yu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Isabelle Gardin, Pierre Vera, Su Ruan
2018	J	`jnl`	Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Trans. Biomed. Eng. Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2018	—	`conf`	Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion. ISBI Chunfeng Lian, Hua Li, Pierre Vera, Su Ruan
2017	—	`conf`	3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs. CMMI/RAMBO/SWITCH@MICCAI Yuntao Yu, Pierre Decazes, Isabelle Gardin, Pierre Vera, Su Ruan
2017	B	`conf`	Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images. ICIP Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera
2017	J	`jnl`	Feature selection for outcome prediction in oesophageal cancer using genetic algorithm and random forest classifier. Comput. Medical Imaging Graph. Paul Desbordes, Su Ruan, Romain Modzelewski, Vauclin Sébastien, Pierre Vera, Isabelle Gardin
2017	—	`conf`	Fully automated esophagus segmentation with a hierarchical deep learning approach. ICSIPA Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
2017	—	`conf`	Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. DLMIA/ML-CDS@MICCAI Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan
2017	—	`conf`	Medical Image Synthesis with Context-Aware Generative Adversarial Networks. MICCAI (3) Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen
2017	—	`conf`	Segmentation of Organs at Risk in thoracic CT images using a SharpMask architecture and Conditional Random Fields. ISBI Roger Trullo, Caroline Petitjean, Su Ruan, Bernard Dubray, Dong Nie, Dinggang Shen
2017	J	`jnl`	Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions. IEEE Trans. Image Process. Jérôme Lapuyade-Lahorgue, Jing-Hao Xue, Su Ruan
2017	—	`conf`	Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. ISBI Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2017	J	`jnl`	Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire. CoRR Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan
2016	—	`conf`	Comparison of 2D and 3D region-based deformable models and random walker methods for PET segmentation. IPTA Kevin Gosse, Stéphanie Jehan-Besson, François Lecellier, Su Ruan
2016	J	`jnl`	Dissimilarity Metric Learning in the Belief Function Framework. IEEE Trans. Fuzzy Syst. Chunfeng Lian, Su Ruan, Thierry Denoeux
2016	—	`conf`	Joint Feature Transformation and Selection Based on Dempster-Shafer Theory. IPMU (1) Chunfeng Lian, Su Ruan, Thierry Denoeux
2016	J	`jnl`	Medical Image Synthesis with Context-Aware Generative Adversarial Networks. CoRR Dong Nie, Roger Trullo, Caroline Petitjean, Su Ruan, Dinggang Shen
2016	J	`jnl`	Multilabel statistical shape prior for image segmentation. IET Image Process. Damien Grosgeorge, Caroline Petitjean, Su Ruan
2016	—	`conf`	Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images. MICCAI (2) Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2016	J	`jnl`	Selecting radiomic features from FDG-PET images for cancer treatment outcome prediction. Medical Image Anal. Chunfeng Lian, Su Ruan, Thierry Denoeux, Fabrice Jardin, Pierre Vera
2015	J	`jnl`	An evidential classifier based on feature selection and two-step classification strategy. Pattern Recognit. Chunfeng Lian, Su Ruan, Thierry Denoeux
2015	—	`conf`	Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. MICCAI (3) Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera
2015	J	`jnl`	Joint tumor growth prediction and tumor segmentation on therapeutic follow-up PET images. Medical Image Anal. Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan
2015	—	`conf`	Modelling and Tracking of Deformable Structures in Medical Images. ICIG (2) Saïd Ettaïeb, Kamel Hamrouni, Su Ruan
2015	—	`conf`	Outcome prediction in tumour therapy based on Dempster-Shafer theory. ISBI Chunfeng Lian, Su Ruan, Thierry Denoeux, Pierre Vera
2015	J	`jnl`	Right ventricle segmentation from cardiac MRI: A collation study. Medical Image Anal. Caroline Petitjean, Maria A. Zuluaga, Wenjia Bai, Jean-Nicolas Dacher, Damien Grosgeorge, Jérôme Caudron, Su Ruan, Ismail Ben Ayed, Manuel Jorge Cardoso, Hsiang-Chou Chen, Daniel Jimenez-Carretero, María J. Ledesma-Carbayo, Christos Davatzikos, Jimit Doshi, Güray Erus, Oskar M. O. Maier, Cyrus M. S. Nambakhsh, Yangming Ou, Sébastien Ourselin, Chun-Wei Peng, Nicholas S. Peters, Terry M. Peters, Martin Rajchl, Daniel Rueckert, Andrés Santos, Wenzhe Shi, Ching-Wei Wang, Haiyan Wang, Jing Yuan
2015	J	`jnl`	Robust feature selection to predict tumor treatment outcome. Artif. Intell. Medicine Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2015	—	`conf`	Segmentation of pelvic organs at risk using superpixels and graph diffusion in prostate radiotherapy. ISBI Maxime Guinin, Su Ruan, Lamyaa Nkhali, Bernard Dubray, Laurent Massoptier, Isabelle Gardin
2014	—	`conf`	3D automated lymphoma segmentation in PET images based on cellular automata. IPTA Paul Desbordes, Caroline Petitjean, Su Ruan
2014	Misc	`conf`	Advanced approach for PET breast cancer segmentation based on FAMIS methodology. ATSIP Ines Ketata, Lamia Sallemi, Mohamed Ben Slima, Ahmed Ben Hamida, Frédéric Morain-Nicolier, Su Ruan, Alexandre Cochet, Khalil Chtourou
2014	—	`conf`	Automatic lung tumor segmentation on PET images based on random walks and tumor growth model. ISBI Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2014	B	`conf`	Brain tumor segmentation from multiple MRI sequences using multiple kernel learning. ICIP Naouel Boughattas, Maxime Berar, Kamel Hamrouni, Su Ruan
2014	J	`jnl`	Dealing with uncertainty and imprecision in image segmentation using belief function theory. Int. J. Approx. Reason. Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2014	J	`jnl`	Eikonal-based region growing for efficient clustering. Image Vis. Comput. Pierre Buyssens, Isabelle Gardin, Su Ruan, Abderrahim Elmoataz
2014	J	`jnl`	Factor analysis-based approach for early uptake automatic quantification of breast cancer by Biomed. Signal Process. Control. Ines Ketata, Lamia Sallemi, Frédéric Morain-Nicolier, Mohamed Ben Slima, Alexandre Cochet, Khalil Chtourou, Su Ruan, Ahmed Ben Hamida
2014	J	`jnl`	Fusion of multi-tracer PET images for dose painting. Medical Image Anal. Benoît Lelandais, Su Ruan, Thierry Denoeux, Pierre Vera, Isabelle Gardin
2014	—	`conf`	Joint segmentation of right and left cardiac ventricles using multi-label graph cut. ISBI Damien Grosgeorge, Caroline Petitjean, Su Ruan
2014	—	`conf`	Myocardium segmentation using a priori knowledge of shape and a spatial relation. ICMCS Saïd Ettaïeb, Kamel Hamrouni, Su Ruan
2014	J	`jnl`	Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET. IEEE Trans. Medical Imaging Hongmei Mi, Caroline Petitjean, Bernard Dubray, Pierre Vera, Su Ruan
2014	—	`conf`	Prostate cancer segmentation from multiparametric MRI based on fuzzy Bayesian model. ISBI Yu Guo, Su Ruan, Paul Walker, Yuanming Feng
2014	J	`jnl`	Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm. Comput. Medical Imaging Graph. D. P. Onoma, Su Ruan, Sébastien Thureau, Lamyaa Nkhali, Romain Modzelewski, G. A. Monnehan, Pierre Vera, Isabelle Gardin
2014	—	`conf`	Statistical Models of Shape and Spatial Relation-application to Hippocampus Segmentation. VISAPP (1) Saïd Ettaïeb, Kamel Hamrouni, Su Ruan
2013	J	`jnl`	Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut. Comput. Math. Methods Medicine Damien Grosgeorge, Caroline Petitjean, Bernard Dubray, Su Ruan
2013	J	`jnl`	Graph cut segmentation with a statistical shape model in cardiac MRI. Comput. Vis. Image Underst. Damien Grosgeorge, Caroline Petitjean, Jean-Nicolas Dacher, Su Ruan
2013	J	`jnl`	Nonrigid Medical Image Registration Based on Mesh Deformation Constraints. Comput. Math. Methods Medicine Xiangbo Lin, Su Ruan, Tianshuang Qiu, Dongmei Guo
2013	—	`conf`	Predicting lung tumor evolution during radiotherapy from PET images using a patient specific model. ISBI Hongmei Mi, Caroline Petitjean, Su Ruan, Pierre Vera, Bernard Dubray
2013	—	`ch.`	Signal Separation with A Priori Knowledge Using Sparse Representation. Advances in Heuristic Signal Processing and Applications Yu Guo, Su Ruan
2012	—	`conf`	3D random walk based segmentation for lung tumor delineation in PET imaging. ISBI D. P. Onoma, Su Ruan, Isabelle Gardin, G. A. Monnehan, Romain Modzelewski, Pierre Vera
2012	—	`conf`	Analyzing the intrinsic relations between the diffusion and fluid deformable registration methods. BMEI Xiangbo Lin, Su Ruan
2012	—	`conf`	Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy. MICCAI (1) Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2012	—	`conf`	Using Belief Function Theory to Deal with Uncertainties and Imprecisions in Image Processing. Belief Functions Benoît Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan
2011	J	`jnl`	A priori knowledge based frequency-domain quantification of prostate Magnetic Resonance Spectroscopy. Biomed. Signal Process. Control. Yu Guo, Su Ruan, Jérôme Landré, Paul Walker
2011	—	`conf`	Image fusion for following-up brain tumor evolution. ISBI Su Ruan, Nan Zhang, Qingmin Liao, Yuemin Zhu
2011	J	`jnl`	Kernel feature selection to fuse multi-spectral MRI images for brain tumor segmentation. Comput. Vis. Image Underst. Nan Zhang, Su Ruan, Stéphane Lebonvallet, Qingmin Liao, Yuemin Zhu
2010	J	`jnl`	A Sparse Representation Method for Magnetic Resonance Spectroscopy Quantification. IEEE Trans. Biomed. Eng. Yu Guo, Su Ruan, Jérôme Landré, Jean-Marc Constans
2010	J	`jnl`	A topology preserving non-rigid registration algorithm with integration shape knowledge to segment brain subcortical structures from MRI images. Pattern Recognit. Xiangbo Lin, Tianshuang Qiu, Frédéric Morain-Nicolier, Su Ruan
2010	—	`conf`	An automatic method of brain tumor segmentation from MRI volume based on the symmetry of brain and level set method. ICDIP Xiaobing Li, Tianshuang Qiu, Stéphane Lebonvallet, Su Ruan
2010	—	`conf`	Binary pattern matching from a local dissimilarity measure. IPTA Frédéric Morain-Nicolier, Jérôme Landré, Su Ruan
2010	J	`jnl`	Brain Magnetic Resonance Image. Stud. Inform. Univ. Su Ruan, Stéphane Lebonvallet
2010	—	`conf`	Fusion and classification of multi-source images by SVM with selected features in a kernel space. IPTA Su Ruan, Nan Zhang, Stéphane Lebonvallet, Qingmin Liao, Yue Min Zhu
2010	—	`conf`	Graph cut segmentation technique for MRI brain tumor extraction. IPTA Victor Chen, Su Ruan
2009	B	`conf`	Multi-kernel SVM based classification for brain tumor segmentation of MRI multi-sequence. ICIP Nan Zhang, Su Ruan, Stéphane Lebonvallet, Qingmin Liao, Yuemin Zhu
2009	A	`conf`	Ornamental Letters Image Classification Using Local Dissimilarity Maps. ICDAR Jérôme Landré, Frédéric Morain-Nicolier, Su Ruan
2009	Misc	`conf`	Spectrum separation of Magnetic Resonance Spectroscopy based on sparse representation. ICASSP Yu Guo, Su Ruan, Gilles Millon, Jean-Marc Constans
2008	J	`jnl`	Binary-image comparison with local-dissimilarity quantification. Pattern Recognit. Étienne Baudrier, Frédéric Nicolier, Gilles Millon, Su Ruan
2008	—	`conf`	Segmentation of Brain Internal Structures Automatically Using Non-rigid Registration with Simultaneous Intensity and Geometric Match. ISDA (1) Xiangbo Lin, Tianshuang Qiu, Su Ruan, Frédéric Morain-Nicolier
2007	J	`jnl`	A framework of fuzzy information fusion for the segmentation of brain tumor tissues on MR images. Image Vis. Comput. Weibei Dou, Su Ruan, Yanping Chen, Daniel Bloyet, Jean-Marc Constans
2007	—	`conf`	Automated tumor segmentation using level set methods. VISAPP (Special Sessions) Stéphane Lebonvallet, Sonia Khatchadourian, Su Ruan
2007	J	`jnl`	Fuzzy kappa for the agreement measure of fuzzy classifications. Neurocomputing Weibei Dou, Yuan Ren, Qian Wu, Su Ruan, Yanping Chen, Daniel Bloyet, Jean-Marc Constans
2007	—	`conf`	MRI segmentation using multifractal analysis and MRF models. VISAPP (Special Sessions) Su Ruan, Jonathan Bailleul
2007	—	`conf`	Tumor Segmentation from a Multispectral MRI Images by Using Support Vector Machine Classification. ISBI Su Ruan, Stéphane Lebonvallet, Abderrahim Merabet, Jean-Marc Constans
2006	C	`conf`	A Smart Identification Card System Using Facial Biometric: From Architecture to Application. UIC Kun Peng, Liming Chen, Su Ruan
2006	—	`conf`	A fast binary-image comparison method with local-dissimilarity quantification. ICPR (3) Étienne Baudrier, Gilles Millon, Frédéric Nicolier, Su Ruan
2005	—	`conf`	A Robust and Efficient Algorithm for Eye Detection on Gray Intensity Face. ICAPR (2) Kun Peng, Liming Chen, Su Ruan, Georgy Kukharev
2005	B	`conf`	A novel scheme of face verification using active appearance models. AVSS Kun Peng, Liming Chen, Su Ruan
2005	—	`conf`	Histogram-Based Generation Method of Membership Function for Extracting Features of Brain Tissues on MRI Images. FSKD (1) Weibei Dou, Yuan Ren, Yanping Chen, Su Ruan, Daniel Bloyet, Jean-Marc Constans
2004	B	`conf`	3d medical image segmentation approach based on multi-label front propagation. ICIP Hua Li, Abderrahim Elmoataz, Jalal Fadili, Su Ruan, Barbara Romaniuk
2004	—	`conf`	A Multi-Label Front Propagation Approach for Object Segmentation. ICPR (1) Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan
2004	B	`conf`	A new similarity measure using hausdorff distance map. ICIP Étienne Baudrier, Gilles Millon, Frédéric Nicolier, Su Ruan
2004	—	`conf`	Dual Front Evolution Model and Its Application in Medical Imaging. MICCAI (1) Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan
2004	C	`conf`	Possibilistic-clustering-based MR brain image segmentation with accurate initialization. VCIP Qingmin Liao, Yingying Deng, Weibei Dou, Su Ruan, Daniel Bloyet
2004	—	`conf`	Segmentation based on information fusion applied to brain tissue on MRI. Image Processing: Algorithms and Systems Weibei Dou, Su Ruan, Daniel Bloyet, Jean-Marc Constans, Yanping Chen
2004	B	`conf`	Segmentation of anatomical structures from 3D brain MRI using automatically-built statistical shape models. ICIP Jonathan Bailleul, Su Ruan, Daniel Bloyet, Barbara Romaniuk
2003	—	`conf`	Automatic atlas-based building of point distribution model for segmentation of anatomical structures from brain MRI. ISSPA (2) Jonathan Bailleul, Su Ruan, Daniel Bloyet
2003	—	`conf`	Fuzzy Information Fusion Scheme Used to Segment Brain Tumor from MR Images. WILF Weibei Dou, Su Ruan, Qingmin Liao, Daniel Bloyet, Jean-Marc Constans, Yanping Chen
2003	—	`conf`	Knowledge based fuzzy information fusion applied to classification of abnormal brain tissues from MRI. ISSPA (1) Weibei Dou, Su Ruan, Qingmin Liao, Daniel Bloyet, Jean-Marc Constans
2002	—	`conf`	Cerebral magnetic resonance image segmentation using fuzzy Markov Random Fields. ISBI Su Ruan, Daniel Bloyet, Marinette Revenu, Weibei Dou, Qingmin Liao
2002	J	`jnl`	Fuzzy Markovian Segmentation in Application of Magnetic Resonance Images. Comput. Vis. Image Underst. Su Ruan, Bruno Moretti, Jalal Fadili, Daniel Bloyet
2001	J	`jnl`	Knowledge-based segmentation and labeling of brain structures from MRI images. Pattern Recognit. Lett. Jing-Hao Xue, Su Ruan, Bruno Moretti, Marinette Revenu, Daniel Bloyet
2001	J	`jnl`	On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series. Medical Image Anal. Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, Bernard Mazoyer
2001	—	`conf`	Segmentation of magnetic resonance images using fuzzy Markov random fields. ICIP (3) Su Ruan, Bruno Moretti, Jalal Fadili, Daniel Bloyet
2000	J	`jnl`	Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling. IEEE Trans. Medical Imaging Su Ruan, Cyril Jaggi, Jing-Hao Xue, Mohamed-Jalal Fadili, Daniel Bloyet
2000	B	`conf`	Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation. ICIP Jing-Hao Xue, Su Ruan, Bruno Moretti, Marinette Revenu, Daniel Bloyet, Wilfried Philips
2000	J	`jnl`	Phantom-based performance evaluation: Application to brain segmentation from magnetic resonance images. Medical Image Anal. Bruno Moretti, Mohamed-Jalal Fadili, Su Ruan, Daniel Bloyet, Bernard Mazoyer
2000	B	`conf`	Unsupervised Segmentation of Three-Dimensional Brain Images. ICPR Su Ruan, Mohamed-Jalal Fadili, Daniel Bloyet, Jing-Hao Xue
1995	—	`conf`	Detection of Brain Activation from MRI Data by Likelihood-Ratio Test. CVRMed Su Ruan, Cyril Jaggi, Jean-Marc Constans, Daniel Bloyet
1994	J	`jnl`	Three-dimensional motion and reconstruction of coronary arteries from biplane cineangiography. Image Vis. Comput. Su Ruan, Alain Bruno, Jean-Louis Coatrieux