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Su Ruan

Showing results (21-30 of 63) with videos related to

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Computers in Biology and Medicine|October 28, 2022
Multi-task multi-scale learning for outcome prediction in 3D PET imagesAmine Amyar, Romain Modzelewski, Pierre Vera, et al.
Medicine|January 7, 2026
Clinical characteristics and MRI findings of COVID-19 encephalitis: A retrospective observational studyYanping Huang, Su Ruan, Yang Yang, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Segmentation of biological target volumes on multi-tracer PET images based on information fusion for achieving dose painting in radiotherapyBenoît Lelandais, Isabelle Gardin, Laurent Mouchard, et al.
Medical Image Analysis|August 17, 2014
Fusion of multi-tracer PET images for dose paintingBenoît Lelandais, Su Ruan, Thierry Denœux, et al.
IEEE Transactions on Medical Imaging|April 9, 2014
Prediction of lung tumor evolution during radiotherapy in individual patients with PETHongmei Mi, Caroline Petitjean, Bernard Dubray, et al.
IEEE Transactions on Bio-Medical Engineering|April 4, 2017
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET ImagesChunfeng Lian, Su Ruan, Thierry Denoux, et al.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : Third International Workshop, DLMIA 2017, and 7Th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC|May 1, 2018
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep ArchitecturesRoger Trullo, Caroline Petitjean, Dong Nie, et al.
International Journal of Computer Assisted Radiology and Surgery|August 12, 2019
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategyHaigen Hu, Pierre Decazes, Pierre Vera, et al.
Conference Proceedings. IEEE International Conference on Signal and Image Processing Applications|October 23, 2018
Fully automated esophagus segmentation with a hierarchical deep learning approachRoger Trullo, Caroline Petitjean, Dong Nie, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 9, 2018
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief FunctionsChunfeng Lian, Su Ruan, Thierry Denoeux, et al.
Pageof 7

Showing results (21-30 of 63) with videos related to

Sort By:
Pageof 7
Computers in Biology and Medicine|October 28, 2022
Multi-task multi-scale learning for outcome prediction in 3D PET imagesAmine Amyar, Romain Modzelewski, Pierre Vera, et al.
Medicine|January 7, 2026
Clinical characteristics and MRI findings of COVID-19 encephalitis: A retrospective observational studyYanping Huang, Su Ruan, Yang Yang, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|January 5, 2013
Segmentation of biological target volumes on multi-tracer PET images based on information fusion for achieving dose painting in radiotherapyBenoît Lelandais, Isabelle Gardin, Laurent Mouchard, et al.
Medical Image Analysis|August 17, 2014
Fusion of multi-tracer PET images for dose paintingBenoît Lelandais, Su Ruan, Thierry Denœux, et al.
IEEE Transactions on Medical Imaging|April 9, 2014
Prediction of lung tumor evolution during radiotherapy in individual patients with PETHongmei Mi, Caroline Petitjean, Bernard Dubray, et al.
IEEE Transactions on Bio-Medical Engineering|April 4, 2017
Spatial Evidential Clustering With Adaptive Distance Metric for Tumor Segmentation in FDG-PET ImagesChunfeng Lian, Su Ruan, Thierry Denoux, et al.
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support : Third International Workshop, DLMIA 2017, and 7Th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017 Quebec City, QC|May 1, 2018
Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep ArchitecturesRoger Trullo, Caroline Petitjean, Dong Nie, et al.
International Journal of Computer Assisted Radiology and Surgery|August 12, 2019
Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategyHaigen Hu, Pierre Decazes, Pierre Vera, et al.
Conference Proceedings. IEEE International Conference on Signal and Image Processing Applications|October 23, 2018
Fully automated esophagus segmentation with a hierarchical deep learning approachRoger Trullo, Caroline Petitjean, Dong Nie, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|October 9, 2018
Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief FunctionsChunfeng Lian, Su Ruan, Thierry Denoeux, et al.
Pageof 7