User profiles for Emmanuel Rios Velazquez
 | Emmanuel Rios VelazquezBusiness Development Manager - Precision Health & Nutrition @imec - OnePlanet … Verified email at imec.nl Cited by 15349 |
[HTML][HTML] Radiomics: extracting more information from medical images using advanced feature analysis
Solid cancers are spatially and temporally heterogeneous. This limits the use of invasive
biopsy based molecular assays but gives huge potential for medical imaging, which has the …
biopsy based molecular assays but gives huge potential for medical imaging, which has the …
[HTML][HTML] Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Human cancers exhibit strong phenotypic differences that can be visualized noninvasively
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …
by medical imaging. Radiomics refers to the comprehensive quantification of tumour …
[HTML][HTML] Robust radiomics feature quantification using semiautomatic volumetric segmentation
Due to advances in the acquisition and analysis of medical imaging, it is currently possible
to quantify the tumor phenotype. The emerging field of Radiomics addresses this issue by …
to quantify the tumor phenotype. The emerging field of Radiomics addresses this issue by …
CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma
…, P Grossmann, Y Hou, ER Velazquez… - Radiotherapy and …, 2015 - Elsevier
Background and purpose Radiomics provides opportunities to quantify the tumor phenotype
non-invasively by applying a large number of quantitative imaging features. This study …
non-invasively by applying a large number of quantitative imaging features. This study …
[HTML][HTML] Radiomic feature clusters and prognostic signatures specific for lung and head & neck cancer
Radiomics provides a comprehensive quantification of tumor phenotypes by extracting and
mining large number of quantitative image features. To reduce the redundancy and compare …
mining large number of quantitative image features. To reduce the redundancy and compare …
Predicting outcomes in radiation oncology—multifactorial decision support systems
…, MHW Starmans, E Rios-Velazquez… - Nature reviews Clinical …, 2013 - nature.com
With the emergence of individualized medicine and the increasing amount and complexity
of available medical data, a growing need exists for the development of clinical decision-…
of available medical data, a growing need exists for the development of clinical decision-…
Somatic mutations drive distinct imaging phenotypes in lung cancer
Tumors are characterized by somatic mutations that drive biological processes ultimately
reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected …
reflected in tumor phenotype. With regard to radiographic phenotypes, generally unconnected …
Stability of FDG-PET radiomics features: an integrated analysis of test-retest and inter-observer variability
Purpose. Besides basic measurements as maximum standardized uptake value (SUV) max
or SUV mean derived from 18F-FDG positron emission tomography (PET) scans, more …
or SUV mean derived from 18F-FDG positron emission tomography (PET) scans, more …
Defining the biological basis of radiomic phenotypes in lung cancer
…, N El-Hachem, MM Bui, E Rios Velazquez… - elife, 2017 - elifesciences.org
10.7554/eLife.23421.001 Medical imaging can visualize characteristics of human cancer
noninvasively. Radiomics is an emerging field that translates these medical images into …
noninvasively. Radiomics is an emerging field that translates these medical images into …
[HTML][HTML] Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma
Two CT features were developed to quantitatively describe lung adenocarcinomas by scoring
tumor shape complexity (feature 1: convexity) and intratumor density variation (feature 2: …
tumor shape complexity (feature 1: convexity) and intratumor density variation (feature 2: …