Jorge Oliveira

According to our database, Jorge Oliveira authored at least 29 papers between 2014 and 2023.

Collaborative distances:

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

2023

Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram.

Andoni Elola, Elisabete Aramendi, Jorge Oliveira, Francesco Renna, Miguel T. Coimbra, Matthew A. Reyna, Reza Sameni, Gari D. Clifford, Ali Bahrami Rad

IEEE J. Biomed. Health Informatics, August, 2023

The selection of an optimal segmentation region in physiological signals.

Jorge Oliveira, Margarida Carvalho, Diogo Marcelo Nogueira, Miguel Tavares Coimbra

Int. Trans. Oper. Res., 2023

A Deep Learning approach to infer morphological characteristics of the heart from cardiac sound analysis.

Rui Camacho, Jorge Oliveira, Luis Andrade

Proceedings of the 13th International Conference on Bioscience, 2023

2022

The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification.

Jorge Oliveira, Francesco Renna, Paulo Dias Costa, Diogo Marcelo Nogueira, Cristina Oliveira, Carlos Abreu Ferreira, Alípio Mário Jorge, Sandra da Silva Mattos, Thamine Hatem, Thiago Tavares, Andoni Elola, Ali Bahrami Rad, Reza Sameni, Gari D. Clifford, Miguel T. Coimbra

IEEE J. Biomed. Health Informatics, 2022

The robustness of Random Forest and Support Vector Machine Algorithms to a Faulty Heart Sound Segmentation.

Jorge Oliveira, Diogo Marcelo Nogueira, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel T. Coimbra

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Heart Murmur Detection from Phonocardiogram Recordings: The George B. Moody PhysioNet Challenge 2022.

Matthew A. Reyna, Yashar Kiarashi, Andoni Elola, Jorge Oliveira, Francesco Renna, Annie Gu, Erick Andres Perez-Alday, Nadi Sadr, Ashish Sharma, Sandra da Silva Mattos, Miguel T. Coimbra, Reza Sameni, Ali Bahrami Rad, Gari D. Clifford

Proceedings of the Computing in Cardiology, 2022

The Usage of Data Augmentation Strategies on the Detection of Murmur Waves in a PCG Signal.

José Torres, Jorge Oliveira, Elsa Ferreira Gomes

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Can Multi-channel Heart Sounds Analysis improve Murmur Detection?

Diogo Marcelo Nogueira, Jorge Oliveira, Carlos Gomes Ferreira, Miguel T. Coimbra, Alípio M. Jorge

Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021

On the Usage of Pre-Trained Speech Recognition Deep Layers to Detect Emotions.

Jorge Oliveira, Isabel Praça

IEEE Access, 2021

Anomaly Detection in Cyber-Physical Systems: Reconstruction of a Prediction Error Feature Space.

Nuno Oliveira, Norberto Sousa, Jorge Oliveira, Isabel Praça

Proceedings of the 14th International Conference on Security of Information and Networks, 2021

Do we really need a segmentation step in heart sound classification algorithms?

Jorge Oliveira, Diogo Marcelo Nogueira, Francesco Renna, Carlos Abreu Ferreira, Alípio M. Jorge, Miguel Tavares Coimbra

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Crackle and wheeze detection in lung sound signals using convolutional neural networks.

Pedro Faustino, Jorge Oliveira, Miguel T. Coimbra

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A Multi-spot Murmur Sound Detection Algorithm and Its Application to a Pediatric and Neonate Population.

Marisa Oliveira, Jorge Oliveira, Rui Camacho, Carlos Abreu Ferreira

Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

2020

Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization.

Jorge Oliveira, Margarida Carvalho, Diogo Marcelo Nogueira, Miguel T. Coimbra

CoRR, 2020

2019

Deep Convolutional Neural Networks for Heart Sound Segmentation.

Francesco Renna, Jorge Oliveira, Miguel T. Coimbra

IEEE J. Biomed. Health Informatics, 2019

Adaptive Sojourn Time HSMM for Heart Sound Segmentation.

Jorge Oliveira, Francesco Renna, Theofrastos Mantadelis, Miguel T. Coimbra

IEEE J. Biomed. Health Informatics, 2019

A Subject-Driven Unsupervised Hidden Semi-Markov Model and Gaussian Mixture Model for Heart Sound Segmentation.

Jorge Oliveira, Francesco Renna, Miguel T. Coimbra

IEEE J. Sel. Top. Signal Process., 2019

Assessment of Sound Features for Needle Perforation Event Detection.

Francesco Renna, Alfredo Illanes, Jorge Oliveira, Nazila Esmaeili, Michael Friebe, Miguel T. Coimbra

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

Using Soft Attention Mechanisms to Classify Heart Sounds.

Jorge Oliveira, Diogo Marcelo Nogueira, Cléber Ramos, Francesco Renna, Carlos Abreu Ferreira, Miguel T. Coimbra

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

2018

Subject-driven supervised and unsupervised Hidden Markov Models for heart sound segmentation in real noisy environments

Jorge Oliveira

PhD thesis, 2018

Convolutional Neural Networks for Heart Sound Segmentation.

Francesco Renna, Jorge Oliveira, Miguel T. Coimbra

Proceedings of the 26th European Signal Processing Conference, 2018

2017

On modifying the temporal modeling of HSMMs for pediatric heart sound segmentation.

Jorge Oliveira, Theofrastos Mantadelis, Francesco Renna, Pedro Gomes, Miguel Tavares Coimbra

Proceedings of the 2017 IEEE International Workshop on Signal Processing Systems, 2017

Coupled hidden Markov model for automatic ECG and PCG segmentation.

Jorge Oliveira, Catarina Sousa, Miguel T. Coimbra

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A Data-Driven Feature Extraction Method for Enhanced Phonocardiogram Segmentation.

Francesco Renna, Jorge Oliveira, Miguel Tavares Coimbra

Proceedings of the Computing in Cardiology, 2017

2016

Why should you model time when you use Markov models for heart sound analysis.

Jorge Oliveira, Theofrastos Mantadelis, Miguel T. Coimbra

Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Exploratory Study of the Cardiac Dynamic Trajectory in the Embedding Space.

Jorge Oliveira, Bruna Cardoso, Miguel T. Coimbra

Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015

Most Probable Explanation for MetaProbLog and Its Application in Heart Sound Segmentation.

Theofrastos Mantadelis, Jorge Oliveira, Miguel Tavares Coimbra

Proceedings of the 2nd International Workshop on Probabilistic Logic Programming co-located with 31st International Conference on Logic Programming (ICLP 2015), 2015

A multi-spot exploration of the topological structures of the reconstructed phase-space for the detection of cardiac murmurs.

Jorge Oliveira, Cristina Oliveira, Bruna Cardoso, Malik Saad Sultan, Miguel Tavares Coimbra

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Exploring embedding matrices and the entropy gradient for the segmentation of heart sounds in real noisy environments.

Jorge Oliveira, Ana Castro, Miguel Tavares Coimbra

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