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Fahad Khalid
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A radiomics pipeline dedicated to Breast MRI: validation on a multi-scanner phantom study
MJ Saint Martin, F Orlhac, P Akl, F Khalid, C Nioche, I Buvat, C Malhaire, ...
Magnetic Resonance Materials in Physics, Biology and Medicine 34, 355-366, 2021
282021
Simplicity is all you need: out-of-the-box nnUNet followed by binary-weighted radiomic model for segmentation and outcome prediction in head and neck PET/CT
L Rebaud, T Escobar, F Khalid, K Girum, I Buvat
3D Head and Neck Tumor Segmentation in PET/CT Challenge, 121-134, 2022
112022
Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities
F Khalid, J Goya-Outi, T Escobar, V Dangouloff-Ros, A Grigis, C Philippe, ...
Frontiers in Medicine 10, 1071447, 2023
32023
DIPG-23. Artificial intelligence for detecting ACVR1 mutations in patients with DIPG using MRI and clinical data
F Khalid, T Escobar, J Goya-Outi, V Frouin, N Boddaert, J Grill, F Frouin
12022
Impact of ComBat and a multi-model approach to deal with multi-scanner and missing MRI data in a small cohort study. Application to H3K27M mutation prediction in patients with DIPG
F Khalid, J Goya-Outi, V Frouin, N Boddaert, J Grill, F Frouin
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
12021
Head and Neck Tumor and Lymph Node Segmentation and Outcome Prediction from 18F-FDG PET/CT Images: Simplicity is All You Need
T Escobar, F Khalid, KB Girum, I Buvat
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Articles 1–6