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X Fave
Researcher at University of Texas MD Anderson Cancer Center
Publications - 32
Citations - 2072
X Fave is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Imaging phantom & Cancer. The author has an hindex of 16, co-authored 32 publications receiving 1587 citations. Previous affiliations of X Fave include University of Texas Health Science Center at Houston & University of California, San Diego.
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Journal ArticleDOI
Measuring Computed Tomography Scanner Variability of Radiomics Features.
Dennis Stephen Mackin,X Fave,Lifei Zhang,David Fried,Jinzhong Yang,Brian E. Taylor,Edgardo Rodriguez-Rivera,Cristina Dodge,Aaron Kyle Jones,Laurence E. Court +9 more
TL;DR: The variability in the values of radiomics features calculated on CT images from different CT scanners can be comparable to the variability in these features found in CT images of NSCLC tumors.
Journal ArticleDOI
IBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.
TL;DR: Two key elements in collaborative workflows, the consistency of data sharing and the reproducibility of calculation result, are embedded in the IBEX workflow: image data, feature algorithms, and model validation including newly developed ones from different users can be easily and consistently shared so that results can be more easily reproduced between institutions.
Journal ArticleDOI
Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer.
X Fave,Lifei Zhang,Jinzhong Yang,Dennis Stephen Mackin,Peter A Balter,Daniel R. Gomez,David S Followill,Aaron Kyle Jones,Francesco C. Stingo,Zhongxing Liao,Radhe Mohan,Laurence E. Court +11 more
TL;DR: The results suggest radiomics features change due to radiation therapy and their values at the end of treatment may be indicators of tumor response.
Journal ArticleDOI
Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?
X Fave,Dennis Stephen Mackin,Jinzhong Yang,Joy Zhang,David V. Fried,Peter A Balter,David S Followill,Daniel R. Gomez,A. Kyle Jones,Francesco C. Stingo,Jonas D. Fontenot,Laurence E. Court +11 more
TL;DR: Some radiomics features are robust to the noise and poor image quality of CBCT images when the imaging protocol is consistent, relative changes in the features are used, and patients are limited to those with less than 1 cm of motion.
Journal ArticleDOI
Harmonizing the pixel size in retrospective computed tomography radiomics studies.
Dennis S. Mackin,Dennis S. Mackin,X Fave,X Fave,Lifei Zhang,Jinzhong Yang,A. Kyle Jones,Chaan S. Ng,Laurence E. Court,Laurence E. Court +9 more
TL;DR: Applying a correction based on resampling and Butterworth low-pass filtering in the frequency domain effectively reduced variability in CT radiomics features caused by variations in pixel size.