A One-Class Decision Tree Based on Kernel Density Estimation. - Sarah Itani; Fabian Lecron; Philippe Fortemps (CoRR, 2018)

A multi-level classification framework for multi-site medical data: Application to the ADHD-200 collection. - Sarah Itani; Fabian Lecron; Philippe Fortemps (Expert Syst. Appl., 2018)

Data Mining for ADHD & ASD Prediction Based on Resting-State fMRI Signals: A Literature Review. - Sarah Itani; Fabian Lecron; Philippe Fortemps (BNAIC/BENELEARN, 2019)

Specifics of medical data mining for diagnosis aid: A survey. - Sarah Itani; Fabian Lecron; Philippe Fortemps (Expert Syst. Appl., 2019)

A Graph Signal Processing Framework for the Classification of Temporal Brain Data. - Sarah Itani; Dorina Thanou (EUSIPCO, 2020)

A one-class classification decision tree based on kernel density estimation. - Sarah Itani; Fabian Lecron; Philippe Fortemps (Appl. Soft Comput., 2020)

Towards Explainable Knowledge-Guided Data Mining for Medical Diagnosis Aid: Application to Children Mental Disorders. - Sarah Itani (4OR, 2021)

Combining anatomical and functional networks for neuropathology identification: A case study on autism spectrum disorder. - Sarah Itani; Dorina Thanou (Medical Image Anal., 2021)