Characterization of groups using composite kernels and multi-source fMRI analysis data: Application to schizophrenia. - Eduardo Castro; Manel Martínez-Ramón; Godfrey D. Pearlson; Jing Sui; Vince D. Calhoun (NeuroImage, 2011)

Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia. - Jing Sui; Hao He 002; Godfrey D. Pearlson; Tülay Adali; Kent A. Kiehl; Qingbao Yu; Vincent P. Clark; Eduardo Castro; Tonya White; Bryon A. Mueller; Beng-Choon Ho; Nancy Andreasen; et al. (NeuroImage, 2013)

Accurate classification of schizophrenia patients based on novel resting-state fMRI features. - Mohammad R. Arbabshirani; Eduardo Castro; Vince D. Calhoun (EMBC, 2014)

Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. - Eduardo Castro; Cota Navin Gupta; Manel Martínez-Ramón; Vince D. Calhoun; Mohammad R. Arbabshirani; Jessica A. Turner (EMBC, 2014)

Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection. - Jing Sui; Eduardo Castro; Hao He 002; David A. Bridwell; Yuhui Du; Godfrey D. Pearlson; Tianzi Jiang; Vince D. Calhoun (EMBC, 2014)

The tenth annual MLSP competition: Schizophrenia classification challenge. - Rogers F. Silva; Eduardo Castro; Cota Navin Gupta; Mustafa S. Çetin; Mohammad Arbabshirani; Vamsi K. Potluru; Sergey M. Plis; Vince D. Calhoun (MLSP, 2014)

A multiple kernel learning approach to perform classification of groups from complex-valued fMRI data analysis: Application to schizophrenia. - Eduardo Castro; Vanessa Gómez-Verdejo; Manel Martínez-Ramón; Kent A. Kiehl; Vince D. Calhoun (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)

Deep independence network analysis of structural brain imaging: A simulation study. - Eduardo Castro; R. Devon Hjelm; Sergey M. Plis; Laurent Dinh; Jessica A. Turner; Vince D. Calhoun (MLSP, 2015)

A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders. - Yuhui Du; Godfrey D. Pearlson; Jingyu Liu 001; Jing Sui; Qingbao Yu; Hao He 002; Eduardo Castro; Vince D. Calhoun (NeuroImage, 2015)

Computational psychiatry: Advancing predictive modeling of neurodegeneration with neuroimaging of Huntington's disease. - Pablo Polosecki; Eduardo Castro; Andrew Wood; John H. Warner; Irina Rish; Guillermo A. Cecchi (IBM J. Res. Dev., 2017)

Elastic deformations for data augmentation in breast cancer mass detection. - Eduardo Castro; Jaime S. Cardoso 001; José Costa Pereira (BHI, 2018)

Weight Rotation as a Regularization Strategy in Convolutional Neural Networks. - Eduardo Castro; José Costa Pereira; Jaime S. Cardoso 001 (EMBC, 2019)

Deep Keypoint Detection for the Aesthetic Evaluation of Breast Cancer Surgery Outcomes. - Wilson Silva; Eduardo Castro; Maria João Cardoso; Florian Fitzal; Jaime S. Cardoso 001 (ISBI, 2019)

Soft Rotation Equivariant Convolutional Neural Networks. - Eduardo Castro; José Costa Pereira; Jaime S. Cardoso 001 (IJCNN, 2020)

Deep Minutiae Fingerprint Extraction Using Equivariance Priors. - Margarida Gouveia; Eduardo Castro; Ana Rebelo; Jaime S. Cardoso 001; Bruno Patrão (BIOSIGNALS, 2023)

Symmetry-based regularization in deep breast cancer screening. - Eduardo Castro; José Costa Pereira; Jaime S. Cardoso 001 (Medical Image Anal., 2023)

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition. - Eduardo Castro; Pedro M. Ferreira 007; Ana Rebelo; Isabel Rio-Torto; Leonardo Capozzi; Mafalda Falcão Ferreira; Tiago Gonçalves; Tomé Albuquerque; Wilson Silva; Carolina Afonso; Ricardo Gamelas Sousa; Claudio Cimarelli; et al. (Mach. Vis. Appl., 2023)

Deep Learning based Computer Aided Diagnosis for Breast Cancer Screening - Eduardo Castro (2023)