| 2024 | ICPR | Self-prior Guided Mamba-UNet Networks for Medical Image Super-Resolution. | Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan |
| 2024 | MICCAI | Deform-Mamba Network for MRI Super-Resolution. | Zexin Ji, Beiji Zou, Xiaoyan Kui, Pierre Vera, Su Ruan |
| 2022 | ICPR | Prediction of Brain Tumor Recurrence Location Based on Kullback-Leibler Divergence and Nonlinear Correlation Learning. | Tongxue Zhou, Alexandra Noeuveglise, Fethi Ghazouani, Romain Modzelewski, Sbastien Thureau, Maxime Fontanilles, Su Ruan |
| 2022 | MICCAI | Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. | Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Jol 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 Vallires, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge |
| 2022 | MICCAI | Evidence Fusion with Contextual Discounting for Multi-modality Medical Image Segmentation. | Ling Huang, Thierry Denoeux, Pierre Vera, Su Ruan |
| 2021 | MICCAI | Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. | Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan |
| 2020 | ICPR | 3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint. | Tongxue Zhou, Stphane Canu, Pierre Vera, Su Ruan |
| 2020 | MICCAI | Brain Tumor Segmentation with Missing Modalities via Latent Multi-source Correlation Representation. | Tongxue Zhou, Stphane Canu, Pierre Vera, Su Ruan |
| 2019 | MICCAI | Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI. | Tongxue Zhou, Su Ruan, Haigen Hu, Stphane Canu |
| 2018 | ATSIP | Feature selection and classification using multiple kernel learning for brain tumor segmentation. | Naouel Boughattas, Maxime Berar, Kamel Hamrouni, Su Ruan |
| 2017 | ICIP | Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images. | Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo, Pierre Vera |
| 2017 | MICCAI | Medical Image Synthesis with Context-Aware Generative Adversarial Networks. | Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. | Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan |
| 2017 | MICCAI | 3D Lymphoma Segmentation in PET/CT Images Based on Fully Connected CRFs. | Yuntao Yu, Pierre Decazes, Isabelle Gardin, Pierre Vera, Su Ruan |
| 2016 | IPMU | Joint Feature Transformation and Selection Based on Dempster-Shafer Theory. | Chunfeng Lian, Su Ruan, Thierry Denoeux |
| 2016 | MICCAI | Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images. | Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera |
| 2015 | ICIG | Modelling and Tracking of Deformable Structures in Medical Images. | Sad Ettaeb, Kamel Hamrouni, Su Ruan |
| 2015 | MICCAI | Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. | Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera |
| 2014 | ATSIP | Advanced approach for PET breast cancer segmentation based on FAMIS methodology. | Ines Ketata, Lamia Sallemi, Mohamed Ben Slima, Ahmed Ben Hamida, Frdric Morain-Nicolier, Su Ruan, Alexandre Cochet, Khalil Chtourou |
| 2014 | ICIP | Brain tumor segmentation from multiple MRI sequences using multiple kernel learning. | Naouel Boughattas, Maxime Berar, Kamel Hamrouni, Su Ruan |
| 2012 | MICCAI | Segmentation of Biological Target Volumes on Multi-tracer PET Images Based on Information Fusion for Achieving Dose Painting in Radiotherapy. | Benot Lelandais, Isabelle Gardin, Laurent Mouchard, Pierre Vera, Su Ruan |
| 2009 | ICASSP | Spectrum separation of Magnetic Resonance Spectroscopy based on sparse representation. | Yu Guo, Su Ruan, Gilles Millon, Jean-Marc Constans |
| 2009 | ICDAR | Ornamental Letters Image Classification Using Local Dissimilarity Maps. | Jrme Landr, Frdric Morain-Nicolier, Su Ruan |
| 2009 | ICIP | Multi-kernel SVM based classification for brain tumor segmentation of MRI multi-sequence. | Nan Zhang, Su Ruan, Stphane Lebonvallet, Qingmin Liao, Yuemin Zhu |
| 2008 | ISDA | Segmentation of Brain Internal Structures Automatically Using Non-rigid Registration with Simultaneous Intensity and Geometric Match. | Xiangbo Lin, Tianshuang Qiu, Su Ruan, Frdric Morain-Nicolier |
| 2006 | ICPR | A fast binary-image comparison method with local-dissimilarity quantification. | tienne Baudrier, Gilles Millon, Frdric Nicolier, Su Ruan |
| 2006 | UIC | A Smart Identification Card System Using Facial Biometric: From Architecture to Application. | Kun Peng, Liming Chen, Su Ruan |
| 2005 | AVSS | A novel scheme of face verification using active appearance models. | Kun Peng, Liming Chen, Su Ruan |
| 2004 | ICIP | Segmentation of anatomical structures from 3D brain MRI using automatically-built statistical shape models. | Jonathan Bailleul, Su Ruan, Daniel Bloyet, Barbara Romaniuk |
| 2004 | ICIP | A new similarity measure using hausdorff distance map. | tienne Baudrier, Gilles Millon, Frdric Nicolier, Su Ruan |
| 2004 | ICIP | 3d medical image segmentation approach based on multi-label front propagation. | Hua Li, Abderrahim Elmoataz, Jalal Fadili, Su Ruan, Barbara Romaniuk |
| 2004 | ICPR | A Multi-Label Front Propagation Approach for Object Segmentation. | Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan |
| 2004 | IPAS | Segmentation based on information fusion applied to brain tissue on MRI. | Weibei Dou, Su Ruan, Daniel Bloyet, Jean-Marc Constans, Yanping Chen |
| 2004 | MICCAI | Dual Front Evolution Model and Its Application in Medical Imaging. | Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan |
| 2004 | VCIP | Possibilistic-clustering-based MR brain image segmentation with accurate initialization. | Qingmin Liao, Yingying Deng, Weibei Dou, Su Ruan, Daniel Bloyet |
| 2001 | ICIP | Segmentation of magnetic resonance images using fuzzy Markov random fields. | Su Ruan, Bruno Moretti, Jalal Fadili, Daniel Bloyet |
| 2000 | ICIP | Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation. | Jing-Hao Xue, Su Ruan, Bruno Moretti, Marinette Revenu, Daniel Bloyet, Wilfried Philips |
| 2000 | ICPR | Unsupervised Segmentation of Three-Dimensional Brain Images. | Su Ruan, Mohamed-Jalal Fadili, Daniel Bloyet, Jing-Hao Xue |