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Su Ruan

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Jérôme Lapuyade-Lahorgue

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Publications

2023
[j59]
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  - journals/jimaging/KebailiLR23
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  - https://dblp.org/rec/journals/jimaging/KebailiLR23
Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan:
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. J. Imaging 9(4): 81 (2023)
[c88]
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  - conf/ipta/BrochetLLVDR23
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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
[i29]
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  - journals/corr/abs-2307-13125
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Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan:
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review. CoRR abs/2307.13125 (2023)
[i26]
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  - journals/corr/abs-2311-10472
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Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan:
End-to-end autoencoding architecture for the simultaneous generation of medical images and corresponding segmentation masks. CoRR abs/2311.10472 (2023)
2022
[j56]
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  - journals/entropy/BrochetLVR22
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  - https://dblp.org/rec/journals/entropy/BrochetLVR22
Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan:
A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 24(4): 436 (2022)
[j55]
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  - journals/entropy/BrochetLHTPGMGT22
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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:
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. Entropy 2022, 24, 436. Entropy 24(5): 685 (2022)
[i23]
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  - journals/corr/abs-2203-11943
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Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan:
A Quantitative Comparison between Shannon and Tsallis Havrda Charvat Entropies Applied to Cancer Outcome Prediction. CoRR abs/2203.11943 (2022)
2021
[i16]
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  - journals/corr/abs-2104-05450
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Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Sébastien Bougleux, Mathieu Salaün, Su Ruan:
Deep learning using Havrda-Charvat entropy for classification of pulmonary endomicroscopy. CoRR abs/2104.05450 (2021)
2020
[c75]
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  - conf/ipta/BrochetLBSR20
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Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Sébastien Bougleux, Mathieu Salaün, Su Ruan:
Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy. IPTA 2020: 1-5
2019
[c67]
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  - conf/bmei/HuDLVR19
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Haigen Hu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Pierre Vera, Su Ruan:
Gaussian-based Spatial Hybrid Distances for Detection and Segmentation of Lymphoid Lesions in 3D PET Images. CISP-BMEI 2019: 1-5
2018
[j36]
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  - journals/cmig/YuDLGVR18
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Yuntao Yu, Pierre Decazes, Jérôme Lapuyade-Lahorgue, Isabelle Gardin, Pierre Vera, Su Ruan:
Semi-automatic lymphoma detection and segmentation using fully conditional random fields. Comput. Medical Imaging Graph. 70: 1-7 (2018)
[c64]
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  - conf/ipta/ZhaDLER18
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Jierui Zha, Pierre Decazes, Jérôme Lapuyade, Abderrahim Elmoataz, Su Ruan:
3D lymphoma detection in PET-CT images with supervoxel and CRFs. IPTA 2018: 1-5
2017
[j31]
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  - journals/tip/Lapuyade-Lahorgue17
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Jérôme Lapuyade-Lahorgue, Jing-Hao Xue, Su Ruan:
Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions. IEEE Trans. Image Process. 26(7): 3187-3195 (2017)

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