- ORCID iD
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0000-0002-0142-8127
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Automated MRI based pipeline for segmentation and prediction of grade, IDH mutation and 1p19q co-deletion in glioma
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- Conference Paper
- C1
- open access
Automated MRI based pipeline for glioma segmentation and prediction of grade, IDH mutation and 1p19q co-deletion
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- Journal Article
- A1
- open access
Fast method for the estimation of the absorbed dose in X-ray microtomography
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Binary Glioma grading : radiomics versus pre-trained CNN features
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- PhD Thesis
- open access
Artificial intelligence in medical imaging for the diagnosis of primary brain tumours
(2018) -
The role of PET- and MRI-derived [18F]FET PET parameters in the discrimination of low- and high-grade gliomas
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Binary Glioma grading : radiomics versus pre-trained CNN features
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Radiomics and machine learning on [18F]FET PET and T1ce MRI discriminate between low-grade and high-grade glioma
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Machine learning based brain tumour segmentation on limited data using local texture and abnormality
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Towards computer aided diagnosis of primary brain tumors : a radiomics approach