Jose G. Pena-Tamez

Monterrey, NLE, Mexico

Last Updated: 09/26/2026

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Found 36 publications

Cerebellar dysconnectivity in schizophrenia spectrum: task-based functional connectivity analysis and cognitive stratification.

Cerebellar dysconnectivity in schizophrenia spectrum: task-based functional connectivity analysis and cognitive stratification.

Journal: Frontiers in psychiatry
Published: January 26, 2026

A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications.

A methodology for developing dermatological datasets: lessons from retrospective data collection for AI-based applications.

Journal: BMC medical research methodology
Published: July 19, 2025

Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer's disease via data fusion and machine learning.

Interpretable multivariate survival models: Improving predictions for conversion from mild cognitive impairment to Alzheimer's disease via data fusion and machine learning.

Journal: PloS one
Published: March 08, 2025

MuTATE: an interpretable multi-endpoint machine learning framework for automated molecular subtyping in cancer.

MuTATE: an interpretable multi-endpoint machine learning framework for automated molecular subtyping in cancer.

Journal: npj health systems
Published: December 28, 2024

Validation of the Mirai model for predicting breast cancer risk in Mexican women.

Validation of the Mirai model for predicting breast cancer risk in Mexican women.

Journal: Insights into imaging
Published: May 31, 2024

Breast cancer risk prediction using machine learning: a systematic review.

Breast cancer risk prediction using machine learning: a systematic review.

Journal: Frontiers in oncology
Published: November 23, 2023

Exploring the intersection of obesity and gender in COVID-19 outcomes in hospitalized Mexican patients: a comparative analysis of risk profiles using unsupervised machine learning.

Exploring the intersection of obesity and gender in COVID-19 outcomes in hospitalized Mexican patients: a comparative analysis of risk profiles using unsupervised machine learning.

Journal: Frontiers in public health
Published: November 13, 2023

TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines.

TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines.

Journal: BMC medical informatics and decision making
Published: September 07, 2023

Clinical performance of a multiparametric MRI-based post concussive syndrome index.

Clinical performance of a multiparametric MRI-based post concussive syndrome index.

Journal: Frontiers in neurology
Published: August 24, 2023

Hybrid morphological-convolutional neural networks for computer-aided diagnosis.

Hybrid morphological-convolutional neural networks for computer-aided diagnosis.

Journal: Frontiers in artificial intelligence
Published: July 08, 2023

Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review.

Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review.

Journal: BMC bioinformatics
Published: April 07, 2023

Post-concussive mTBI in Student Athletes: MRI Features and Machine Learning.

Post-concussive mTBI in Student Athletes: MRI Features and Machine Learning.

Journal: Frontiers in neurology
Published: July 01, 2021
Showing 1-12 of 36

Last Updated: 09/26/2026