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Journal Articles
- 2014
[j1]Victor M. Vergara, Alvaro Ulloa
, Vince D. Calhoun, David Boutte, Jiayu Chen, Jingyu Liu:
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function. NeuroImage 98: 386-394 (2014)
Conference and Workshop Papers
- 2023
- [c8]Marios S. Pattichis, Venkatesh Jatla, Alvaro E. Ulloa Cerna:
A Review of Machine Learning Methods Applied to Video Analysis Systems. ACSSC 2023: 1161-1165 - 2019
- [c7]Kamal Jnawali, Mohammad R. Arbabshirani, Alvaro E. Ulloa, Navalgund Rao, Aalpen A. Patel:
Automatic Classification of Radiological Report for Intracranial Hemorrhage. ICSC 2019: 187-190 - 2015
- [c6]Eduardo Castro, Alvaro Ulloa, Sergey M. Plis, Jessica A. Turner, Vince D. Calhoun:
Generation of synthetic structural magnetic resonance images for deep learning pre-training. ISBI 2015: 1057-1060 - [c5]Alvaro Ulloa, Sergey M. Plis, Erik B. Erhardt, Vince D. Calhoun:
Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia. MLSP 2015: 1-6 - 2014
- [c4]Mohammad R. Arbabshirani, Marios S. Pattichis, Alvaro Ulloa, Vince D. Calhoun:
Detecting volumetric changes in fMRI connectivity networks in schizophrenia patients. EMBC 2014: 726-729 - [c3]Alvaro Ulloa, Paul Rodríguez, Jingyu Liu, Vince D. Calhoun, Marios S. Pattichis:
A quasi-local method for instantaneous frequency estimation with application to structural magnetic resonance images. EMBC 2014: 1477-1480 - [c2]Alvaro Ulloa, Jingyu Liu, Victor M. Vergara, Jiayu Chen, Vince D. Calhoun, Marios S. Pattichis:
Three-way parallel independent component analysis for imaging genetics using multi-objective optimization. EMBC 2014: 6651-6654 - [c1]Jiayu Chen, Vince D. Calhoun, Alvaro E. Ulloa, Jingyu Liu:
Parallel ICA with multiple references: A semi-blind multivariate approach. EMBC 2014: 6659-6662
Informal and Other Publications
- 2019
- [i4]Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen, Linyuan Jing, Aalpen A. Patel, Joshua V. Stough, Christopher M. Haggerty, Brandon K. Fornwalt:
Interpretable Neural Networks for Predicting Mortality Risk using Multi-modal Electronic Health Records. CoRR abs/1901.08125 (2019) - [i3]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, Dominik Beer, Christopher M. Haggerty, Brandon K. Fornwalt:
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data. CoRR abs/1904.07032 (2019) - 2018
- [i2]Alvaro Ulloa, Sergey M. Plis, Vince D. Calhoun:
Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR. CoRR abs/1804.04591 (2018) - [i1]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, H. Lester Kirchner, Christopher M. Haggerty, Brandon K. Fornwalt:
A deep neural network predicts survival after heart imaging better than cardiologists. CoRR abs/1811.10553 (2018)
Coauthor Index
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