Emmanuel Rios Velazquez
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Lung Cancer Diagnosis and Treatment, Medical Imaging Techniques and Applications, Head and Neck Cancer Studies, Lung Cancer Treatments and Mutations
Most-Cited Works
- → Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach(2014)5,021 cited
- → CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma(2015)701 cited
- → Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation(2014)593 cited
- → Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer(2015)432 cited
- → Stability of FDG-PET Radiomics features: An integrated analysis of test-retest and inter-observer variability(2013)421 cited
- → Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer(2017)385 cited
- → Defining the biological basis of radiomic phenotypes in lung cancer(2017)358 cited
- → Correction: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach(2014)304 cited
- → Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma(2015)260 cited
- → Volumetric CT-based segmentation of NSCLC using 3D-Slicer(2013)233 cited