Detecting volumetric changes in fMRI connectivity networks in schizophrenia patients. - Mohammad R. Arbabshirani; Marios S. Pattichis; Alvaro Ulloa; Vince D. Calhoun (EMBC, 2014)

Parallel ICA with multiple references: A semi-blind multivariate approach. - Jiayu Chen 003; Vince D. Calhoun; Alvaro E. Ulloa; Jingyu Liu 001 (EMBC, 2014)

Three-way parallel independent component analysis for imaging genetics using multi-objective optimization. - Alvaro Ulloa; Jingyu Liu 001; Victor M. Vergara; Jiayu Chen 003; Vince D. Calhoun; Marios S. Pattichis (EMBC, 2014)

A quasi-local method for instantaneous frequency estimation with application to structural magnetic resonance images. - Alvaro Ulloa; Paul Rodríguez 001; Jingyu Liu 001; Vince D. Calhoun; Marios S. Pattichis (EMBC, 2014)

A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function. - Victor M. Vergara; Alvaro Ulloa; Vince D. Calhoun; David Boutte; Jiayu Chen 003; Jingyu Liu 001 (NeuroImage, 2014)

Generation of synthetic structural magnetic resonance images for deep learning pre-training. - Eduardo Castro; Alvaro Ulloa; Sergey M. Plis; Jessica A. Turner; Vince D. Calhoun (ISBI, 2015)

Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia. - Alvaro Ulloa; Sergey M. Plis; Erik B. Erhardt; Vince D. Calhoun (MLSP, 2015)

Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR. - Alvaro Ulloa; Sergey M. Plis; Vince D. Calhoun (CoRR, 2018)

A deep neural network predicts survival after heart imaging better than cardiologists. - Alvaro Ulloa; Linyuan Jing; Christopher W. Good; David P. vanMaanen; Sushravya Raghunath; Jonathan D. Suever; Christopher D. Nevius; Gregory J. Wehner; Dustin N. Hartzel; Joseph B. Leader; Amro Alsaid; Aalpen A. Patel; et al. (CoRR, 2018)

Automatic Classification of Radiological Report for Intracranial Hemorrhage. - Kamal Jnawali; Mohammad R. Arbabshirani; Alvaro E. Ulloa; Navalgund Rao; Aalpen A. Patel (ICSC, 2019)

Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records. - Alvaro E. Ulloa Cerna; Marios Pattichis; David P. vanMaanen; Linyuan Jing; Aalpen A. Patel; Joshua V. Stough; Christopher M. Haggerty; Brandon K. Fornwalt (CoRR, 2019)

Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data. - Sushravya Raghunath; Alvaro E. Ulloa Cerna; Linyuan Jing; David P. vanMaanen; Joshua Stough; Dustin N. Hartzel; Joseph B. Leader; H. Lester Kirchner; Christopher W. Good; Aalpen A. Patel; Brian P. Delisle; Amro Alsaid; et al. (CoRR, 2019)

A Review of Machine Learning Methods Applied to Video Analysis Systems. - Marios S. Pattichis; Venkatesh Jatla; Alvaro E. Ulloa Cerna (ACSSC, 2023)

A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment. - Alvaro E. Ulloa Cerna; David P. vanMaanen; Linyuan Jing; Joshua V. Stough; Aalpen A. Patel; Christopher M. Haggerty; Brandon K. Fornwalt; Marios S. Pattichis (IEEE J. Biomed. Health Informatics, 2025)