|
🐬
|
Deep Learning Applications for Predicting Pharmacological Properties of Drugs and Drug Repurposing Using Transcriptomic Data.
A. Aliper,
S. Plis,
Artem V. Artemov,
Alvaro E. Ulloa,
Polina Mamoshina,
A. Zhavoronkov
|
8 |
2016 |
8
🐬
|
|
🐜
|
Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.
9 auth.
Manar D. Samad,
Alvaro E. Ulloa,
Gregory J. Wehner,
Linyuan Jing,
Dustin N. Hartzel,
Christopher W. Good,
...
B. Williams,
C. Haggerty,
Brandon K. Fornwalt
|
7 |
2019 |
7
🐜
|
|
🐜
|
Quantitative EEG Biomarkers for Mild Traumatic Brain Injury.
11 auth.
J. Lewine,
S. Plis,
Alvaro E. Ulloa,
Chris S Williams,
M. Spitz,
J. Foley,
...
K. Paulson,
John Davis,
Nitin B. Bangera,
T. Snyder,
L. Weaver
|
5 |
2019 |
5
🐜
|
|
🐬
|
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function
V. Vergara,
Alvaro E. Ulloa,
V. Calhoun,
D. Boutte,
Jiayu Chen,
Jingyu Liu
|
5 |
2014 |
5
🐬
|
|
🦁
|
Synthetic structural magnetic resonance image generator improves deep learning prediction of schizophrenia
Alvaro E. Ulloa,
S. Plis,
Erik B. Erhardt,
V. Calhoun
|
4 |
2015 |
4
🦁
|
|
🐬
|
Automatic Classification of Radiological Report for Intracranial Hemorrhage
K. Jnawali,
Mohammad R Arbabshirani,
Alvaro E. Ulloa,
N. Rao,
Aalpen A. Patel
|
4 |
2019 |
4
🐬
|
|
🦁
|
Improving Classification Rate of Schizophrenia Using a Multimodal Multi-Layer Perceptron Model with Structural and Functional MR
Alvaro E. Ulloa,
S. Plis,
V. Calhoun
|
4 |
2018 |
4
🦁
|
|
🐬
|
Generation of synthetic structural magnetic resonance images for deep learning pre-training
E. Castro,
Alvaro E. Ulloa,
S. Plis,
J. Turner,
V. Calhoun
|
4 |
2015 |
4
🐬
|
|
🐬
|
A Pilot Study on Collective Effects of 22q13.31 Deletions on Gray Matter Concentration in Schizophrenia
Jingyu Liu,
Alvaro E. Ulloa,
N. Perrone-Bizzozero,
R. Yeo,
Jiayu Chen,
V. Calhoun
|
4 |
2012 |
4
🐬
|
