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A new parameter computed with independent component analysis to predict rectal toxicity following prostate cancer radiotherapy

Aureline Fargeas , Juan David Ospina Arango , Amar Kachenoura , Nathalie Costet , Laurent Albera et al.
2015 37th annual international conference of the IEEE Engineering in Medicine and Biology Society, 2015, Milan, Italy. pp.2657--2660
Conference papers hal-01304750v1

Haralick textural features on T2 -weighted MRI are associated with biochemical recurrence following radiotherapy for peripheral zone prostate cancer

Khemara Gnep , Aureline Fargeas , Ricardo E. Gutiérrez-Carvajal , Frédéric Commandeur , Romain Mathieu et al.
Journal of Magnetic Resonance Imaging, 2017, 45 (1), pp.103-117. ⟨10.1002/jmri.25335⟩
Journal articles hal-01446561v1
Image document

A novel classification method for prediction of rectal bleeding in prostate cancer radiotherapy based on a semi-nonnegative ICA of 3D planned dose distributions

Julie Coloigner , Aureline Fargeas , Amar Kachenoura , Lu Wang , Gael Dréan et al.
IEEE Journal of Biomedical and Health Informatics, 2015, 9 (3), pp.1168-1177. ⟨10.1109/JBHI.2014.2328315⟩
Journal articles hal-01011843v1

Identification of a rectal subregion highly predictive of rectal bleeding in prostate cancer IMRT

Gwenaelle Correge , Jean-L. Lagrange , Gilles Créhange , Antoine Simon , Pascal Haigron et al.
Radiotherapy & Oncology, 2016, 119 (3), pp.388--397. ⟨10.1016/j.radonc.2016.04.023⟩
Journal articles hal-01361503v1
Image document

Feature extraction and classification for rectal bleeding in prostate cancer radiotherapy: A PCA based method

Aureline Fargeas , Amar Kachenoura , Oscar Acosta , Laurent Albera , Gael Drean et al.
Innovation and Research in BioMedical engineering, 2013, 34 (4-5), pp.296-299. ⟨10.1016/j.irbm.2013.07.009⟩
Journal articles hal-00956765v1