José G. Tamez-Peña

发表

Radiological Pain Predictors in Knee Osteoarthritis, a Four Feature Selection Comparison: Data from the OAI

Jorge I. Galván-Tejada, Carlos Eric Galván-Tejada, José M. Celaya-Padilla, 2014, MCPR.

Knee Osteoarthritis pain prediction from X-ray imaging: Data from Osteoarthritis Initiative

Jorge I. Galván-Tejada, José M. Celaya-Padilla, Victor Trevino, 2014, 2014 International Conference on Electronics, Communications and Computers (CONIELECOMP).

Local image registration a comparison for bilateral registration mammography

José M. Celaya-Padilla, Victor Trevino, José G. Tamez-Peña, 2013, Other Conferences.

On the Use of Coupled Shape Priors for Segmentation of Magnetic Resonance Images of the Knee

Jurgen Fripp, Eric L. Miller, José G. Tamez-Peña, 2015, IEEE Journal of Biomedical and Health Informatics.

Structural quantification of cartilage changes using statistical parametric mapping

Monica Barbu-McInnis, José G. Tamez-Peña, Saara M. S. Totterman, 2007, SPIE Medical Imaging.

Automated measurement of structures in CT and MR imagery: a validation study

Kevin J. Parker, José G. Tamez-Peña, Saara M. S. Totterman, 2001, Proceedings 14th IEEE Symposium on Computer-Based Medical Systems. CBMS 2001.

Unsupervised statistical segmentation of multispectral volumetric MRI images

Kevin J. Parker, José G. Tamez-Peña, Saara M. S. Totterman, 1999, Medical Imaging.

Segmentation by surface-to-image registration

José G. Tamez-Peña, Zhiyong Xie, Michael A. Gieseg, 2006, SPIE Medical Imaging.

Scan-rescan precision of subchondral bone curvature maps from routine 3D DESS water excitation sequences: Data from the Osteoarthritis Initiative

José G. Tamez-Peña, Antonio Martínez-Torteya, Saara M. S. Totterman, 2016, Comput. Biol. Medicine.

Measuring hippocampal neuroanatomical asymmetry to better diagnose Alzheimer's disease

José M. Celaya-Padilla, José G. Tamez-Peña, Antonio Martínez-Torteya, 2019, Medical Imaging.

Unsupervised Segmentation and Quantification of Anatomical Knee Features: Data From the Osteoarthritis Initiative

José G. Tamez-Peña, Saara M. S. Totterman, Joshua Farber, 2012, IEEE Transactions on Biomedical Engineering.

Unsupervised definition of the tibia-femoral joint regions of the human knee and its applications to cartilage analysis

Monica Barbu-McInnis, José G. Tamez-Peña, Saara M. S. Totterman, 2006, SPIE Medical Imaging.

MRI isotropic resolution reconstruction from two orthogonal scans

Kevin J. Parker, José G. Tamez-Peña, Saara M. S. Totterman, 2001, SPIE Medical Imaging.

Knee cartilage extraction and bone-cartilage interface analysis from 3D MRI data sets

Monica Barbu-McInnis, José G. Tamez-Peña, Saara M. S. Totterman, 2004, SPIE Medical Imaging.

Segmentation, surface extraction, and thickness computation of articular cartilage

Kevin J. Parker, S. Kubilay Pakin, José G. Tamez-Peña, 2002, SPIE Medical Imaging.

Improved multimodal biomarkers for Alzheimer's disease and mild cognitive impairment diagnosis: data from ADNI

José G. Tamez-Peña, Antonio Martínez-Torteya, Victor Treviño-Alvarado, 2013, Medical Imaging.

Atlas based method for the automated segmentation and quantification of knee features: Data from the osteoarthritis initiative

Karl G. Baum, José G. Tamez-Peña, Saara M. S. Totterman, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Ensemble of SVM, Random-Forest and the BSWiMS Method to Predict and Describe Structural Associations with Fluid Intelligence Scores from T1-Weighed MRI

José G. Tamez-Peña, Jorge Orozco, Patricia Sosa, 2019, ABCD-NP@MICCAI.

Predictive features of breast cancer on Mexican screening mammography patients

José G. Tamez-Peña, Juan Rodríguez-Rojas, Victor Treviño-Alvarado, 2013, Medical Imaging.

MRI signal and texture features for the prediction of MCI to Alzheimer's disease progression

José M. Celaya-Padilla, José G. Tamez-Peña, Juan Rodríguez-Rojas, 2014, Medical Imaging.

Wide association study of radiological features that predict future knee OA pain: data from the OAI

José M. Celaya-Padilla, José G. Tamez-Peña, Juan Rodríguez-Rojas, 2014, Medical Imaging.

Focal cartilage defect progression detection: measurement of precision and variation in natural characteristics of cartilage thickness maps derived from 3D MRI data

Monica Barbu-McInnis, José G. Tamez-Peña, Saara M. S. Totterman, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

COMPADRE: an R and web resource for pathway activity analysis by component decompositions

Francesco Falciani, Victor Trevino, José G. Tamez-Peña, 2012, Bioinform..

VALORATE: fast and accurate log‐rank test in balanced and unbalanced comparisons of survival curves and cancer genomics

Victor Trevino, José G. Tamez-Peña, V. Treviño, 2017, Bioinform..

Bilateral image subtraction features for multivariate automated classification of breast cancer risk

José M. Celaya-Padilla, José G. Tamez-Peña, Juan Rodríguez-Rojas, 2014, Medical Imaging.

Knee osteoarthritis image registration: data from the Osteoarthritis Initiative

José M. Celaya-Padilla, José G. Tamez-Peña, Jorge I. Galván-Tejada, 2015, Medical Imaging.

COVID-19 classification using thermal images: thermal images capability for identifying COVID-19 using traditional machine learning classifiers

Regina Barzilay, Victor Treviño, José G. Tamez-Peña, 2021, BCB.