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Su Ruan
Publications
- 2023
- [c88]Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Hua Li, Pierre Vera, Pierre Decazes, Su Ruan:
Prediction of Head-Neck Cancer Recurrence from Pet/CT Images with Havrda-Charvat Entropy. IPTA 2023: 1-5 - 2022
- [i21]Zong Fan, Xiaohui Zhang, Jacob A. Gasienica, Jennifer Potts, Su Ruan, Wade Thorstad, Hiram Gay, Xiaowei Wang, Hua Li:
A novel adversarial learning strategy for medical image classification. CoRR abs/2206.11501 (2022) - 2021
- [j49]Shenghua He, Chunfeng Lian, Wade Thorstad, Hiram Gay, Yujie Zhao, Su Ruan, Xiaowei Wang, Hua Li:
A novel systematic approach for cancer treatment prognosis and its applications in oropharyngeal cancer with microRNA biomarkers. Bioinform. 37(19): 3106-3114 (2021) - [c78]Zong Fan, Shenghua He, Su Ruan, Xiaowei Wang, Hua Li:
Deep learning-based multi-class COVID-19 classification with x-ray images. Medical Imaging: Image-Guided Procedures 2021 - 2020
- [j45]Amine Amyar, Romain Modzelewski, Hua Li, Su Ruan:
Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation. Comput. Biol. Medicine 126: 104037 (2020) - [c73]Yu Guo, Pierre Decazes, Stéphanie Becker, Hua Li, Su Ruan:
Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction. ISBI 2020: 1-4 - 2019
- [j40]Haigen Hu, Pierre Decazes, Pierre Vera, Hua Li, Su Ruan:
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy. Int. J. Comput. Assist. Radiol. Surg. 14(10): 1715-1724 (2019) - [j37]Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera:
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions. IEEE Trans. Image Process. 28(2): 755-766 (2019) - 2018
- [j35]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:
A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images. Medical Image Anal. 47: 68-80 (2018) - [j34]Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera:
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET Images. IEEE Trans. Biomed. Eng. 65(1): 21-30 (2018) - [c63]Chunfeng Lian, Hua Li, Pierre Vera, Su Ruan:
Unsupervised co-segmentation of tumor in PET-CT images using belief functions based fusion. ISBI 2018: 220-223 - [c62]Jian Wu, Su Ruan, Chunfeng Lian, Sasa Mutic, Mark A. Anastasio, Hua Li:
Active learning with noise modeling for medical image annotation. ISBI 2018: 298-301 - [c61]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:
Heart motion tracking on cine MRI based on a deep Boltzmann machine-driven level set method. ISBI 2018: 1153-1156 - 2017
- [c56]Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera:
Tumor delineation in FDG-PET images using a new evidential clustering algorithm with spatial regularization and adaptive distance metric. ISBI 2017: 1177-1180 - 2016
- [c50]Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera:
Robust Cancer Treatment Outcome Prediction Dealing with Small-Sized and Imbalanced Data from FDG-PET Images. MICCAI (2) 2016: 61-69 - 2015
- [c46]Chunfeng Lian, Su Ruan, Thierry Denoeux, Hua Li, Pierre Vera:
Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy. MICCAI (3) 2015: 695-702 - 2004
- [c13]Hua Li, Abderrahim Elmoataz, Jalal Fadili, Su Ruan, Barbara Romaniuk:
3d medical image segmentation approach based on multi-label front propagation. ICIP 2004: 2925-2928 - [c12]Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan:
A Multi-Label Front Propagation Approach for Object Segmentation. ICPR (1) 2004: 600-603 - [c10]Hua Li, Abderrahim Elmoataz, Mohamed-Jalal Fadili, Su Ruan:
Dual Front Evolution Model and Its Application in Medical Imaging. MICCAI (1) 2004: 103-110
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