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Su Ruan

5PUBLICATIONS
6CO-AUTHORS
Deep learningBioethicsSemi- and unsupervised learningEpidemiological modellingImage and video coding
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Journal

Publications (5)

Sort by Publication Date:
|Apr 27, 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review.

Aghiles Kebaili, Jérôme Lapuyade-Lahorgue, Su Ruan

|May 28, 2022
Correction: Brochet et al. A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction. <i>Entropy</i> 2022, <i>24</i>, 436.

Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat

|May 27, 2022
Weakly Supervised Tumor Detection in PET Using Class Response for Treatment Outcome Prediction.

Amine Amyar, Romain Modzelewski, Pierre Vera

|Apr 23, 2022
A Quantitative Comparison between Shannon and Tsallis-Havrda-Charvat Entropies Applied to Cancer Outcome Prediction.

Thibaud Brochet, Jérôme Lapuyade-Lahorgue, Alexandre Huat

|Dec 28, 2020
Automatic COVID-19 CT segmentation using U-Net integrated spatial and channel attention mechanism.

Tongxue Zhou, Stéphane Canu, Su Ruan

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Frequent Collaborators

2 joint publications

Sébastien Thureau

2 joint publications

David Pasquier

1 joint publications

Tongxue Zhou

1 joint publications

Vincent Morard

1 joint publications

Aghiles Kebaili

1 joint publications

Jérôme Lapuyade-Lahorgue

Frequent Collaborators

2 joint publications

Sébastien Thureau

2 joint publications

David Pasquier

1 joint publications

Tongxue Zhou

1 joint publications

Vincent Morard

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