Eduardo Castro

According to our database, Eduardo Castro authored at least 18 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fill in the blank for fashion complementary outfit product Retrieval: VISUM summer school competition.

Eduardo Castro, Pedro M. Ferreira, Ana Rebelo, Isabel Rio-Torto, Leonardo Capozzi, Mafalda Falcão Ferreira, Tiago Gonçalves, Tomé Albuquerque, Wilson Silva, Carolina Afonso, Ricardo Gamelas Sousa, Claudio Cimarelli, Nadia Daoudi, Gabriel Moreira, Hsiu-Yu Yang, Ingrid Hrga, Javed Ahmad, Monish Keswani, Sofia C. Beco

Mach. Vis. Appl., 2023

Symmetry-based regularization in deep breast cancer screening.

Eduardo Castro, José Costa Pereira, Jaime S. Cardoso

Medical Image Anal., 2023

Deep Minutiae Fingerprint Extraction Using Equivariance Priors.

Margarida Gouveia, Eduardo Castro, Ana Rebelo, Jaime S. Cardoso, Bruno Patrão

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2020

Soft Rotation Equivariant Convolutional Neural Networks.

Eduardo Castro, José Costa Pereira, Jaime S. Cardoso

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Weight Rotation as a Regularization Strategy in Convolutional Neural Networks.

Eduardo Castro, José Costa Pereira, Jaime S. Cardoso

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Elastic deformations for data augmentation in breast cancer mass detection.

Eduardo Castro, Jaime S. Cardoso, José Costa Pereira

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

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

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, Jing Sui, Qingbao Yu, Hao He, Eduardo Castro, Vince D. Calhoun

NeuroImage, 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

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

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

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

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

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

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Combination of FMRI-SMRI-EEG data improves discrimination of schizophrenia patients by ensemble feature selection.

Jing Sui, Eduardo Castro, Hao He, David A. Bridwell, Yuhui Du, Godfrey D. Pearlson, Tianzi Jiang, Vince D. Calhoun

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 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

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Accurate classification of schizophrenia patients based on novel resting-state fMRI features.

Mohammad R. Arbabshirani, Eduardo Castro, Vince D. Calhoun

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013

Three-way (N-way) fusion of brain imaging data based on mCCA + jICA and its application to discriminating schizophrenia.

Jing Sui, Hao He, 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, Vince D. Calhoun

NeuroImage, 2013

2011

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