Publications by authors named "Su Ruan"

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BUFNet: Boundary-aware and uncertainty-driven multi-modal fusion network for MR brain tumor segmentation.
Tongxue Zhou, Su Ruan, Baiying Lei

Med Image Anal· January 2026

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Clinical characteristics and MRI findings of COVID-19 encephalitis: A retrospective observational study.
Yanping Huang, Su Ruan, Yang Yang, Hui Liang, Su Chen

Medicine (Baltimore)· January 2026

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DFuse-Net: Disentangled feature fusion with uncertainty-aware learning for reliable multi-modal brain tumor segmentation.
Tongxue Zhou, Zheng Wang, Su Ruan, Yanda Meng, Jinming Duan

Med Image Anal· December 2025

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Multi-modal MRI synthesis with conditional latent diffusion models for data augmentation in tumor segmentation.
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan

Comput Med Imaging Graph· July 2025

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Impact of dietary magnesium intake on depression risk in American adults: a cross-sectional study of the National Health and Nutrition Examination Survey 2005-2020.
Yanping Huang, Su Ruan, Yang Yang, Hui Liang, Su Chen

Front Nutr· February 2025

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A medical image classification method based on self-regularized adversarial learning.
Zong Fan, Xiaohui Zhang, Su Ruan, Wade Thorstad, Hiram Gay

Med Phys· November 2024

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A review of uncertainty quantification in medical image analysis: Probabilistic and non-probabilistic methods.
Ling Huang, Su Ruan, Yucheng Xing, Mengling Feng

Med Image Anal· October 2024

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Efficient brain tumor segmentation using Swin transformer and enhanced local self-attention.
Fethi Ghazouani, Pierre Vera, Su Ruan

Int J Comput Assist Radiol Surg· February 2024

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Electroacupuncture alleviates neurological function via activating the Yap-OPA1 axis and mitochondrial fusion in rats with cerebral ischemia-reperfusion injury.
Hui Liang, Su Ruan, Fang Wang, Nian-Wen Yan, Yan-Xu Wang

Zhen Ci Yan Jiu· November 2023

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Prediction of brain tumor recurrence location based on multi-modal fusion and nonlinear correlation learning.
Tongxue Zhou, Alexandra Noeuveglise, Romain Modzelewski, Fethi Ghazouani, Sébastien Thureau, Su Ruan

Comput Med Imaging Graph· June 2023

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Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review.
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan

J Imaging· April 2023

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A literature survey of MR-based brain tumor segmentation with missing modalities.
Tongxue Zhou, Su Ruan, Haigen Hu

Comput Med Imaging Graph· March 2023

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[Electroacupuncture alleviates cerebral ischemia injury in rats by regulating melatonin-NLRP3 and inhibiting pyroptosis].
Nian-Wen Yan, Su Ruan, Fang Wang, Yan-Xu Wang, Bin Chen

Zhen Ci Yan Jiu· March 2023

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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, Su Ruan

Head Neck Tumor Chall (2022)· March 2023

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Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images.
Zhengshan Huang, Yu Guo, Ning Zhang, Xian Huang, Pierre Decazes, Su Ruan

Comput Biol Med· December 2022

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Multi-task multi-scale learning for outcome prediction in 3D PET images.
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan

Comput Biol Med· December 2022

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Electroacupuncture Ameliorates Cognitive Impairment Through the Inhibition of NLRP3 Inflammasome Activation by Regulating Melatonin-Mediated Mitophagy in Stroke Rats.
Xiaoyong Zhong, Bin Chen, Zuanfang Li, Ruhui Lin, Su Ruan

Neurochem Res· July 2022

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Correction to: Electroacupuncture Ameliorates Cognitive Impairment Through the Inhibition of NLRP3 Inflammasome Activation by Regulating Melatonin-Mediated Mitophagy in Stroke Rats.
Xiaoyong Zhong, Bin Chen, Zuanfang Li, Ruhui Lin, Su Ruan

Neurochem Res· July 2022

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Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction.
Amine Amyar, Romain Modzelewski, Pierre Vera, Vincent Morard, Su Ruan

J Imaging· May 2022

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Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. 2022, , 436.
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Su Ruan

Entropy (Basel)· May 2022

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Deep co-supervision and attention fusion strategy for automatic COVID-19 lung infection segmentation on CT images.
Haigen Hu, Leizhao Shen, Qiu Guan, Xiaoxin Li, Qianwei Zhou, Su Ruan

Pattern Recognit· April 2022

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A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction.
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat, Sébastien Thureau, David Pasquier, Su Ruan

Entropy (Basel)· March 2022

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Learning-based Cancer Treatment Outcome Prognosis using Multimodal Biomarkers.
Maliazurina Saad, Shenghua He, Wade Thorstad, Hiram Gay, Daniel Barnett, Su Ruan

IEEE Trans Radiat Plasma Med Sci· February 2022

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Segmentation of multicorrelated images with copula models and conditionally random fields.
Jérôme Lapuyade-Lahorgue, Su Ruan

J Med Imaging (Bellingham)· January 2022

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[Electroacupuncture ameliorates ischemic injury in cerebral ischemia-reperfusion rats by regulating endogenous melatonin and inhibiting the activation of astrocytes].
Xiao-Yong Zhong, Su Ruan, Fang Wang, Bin Chen, Jing Luo

Zhen Ci Yan Jiu· January 2022

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