Margarida Silveira

Cláudio Areias Franco

Biomed. Signal Process. Control., 2025

2024

Deep learning for ECG classification: A comparative study of 1D and 2D representations and multimodal fusion approaches.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2024

A CNN-GNN Approach for Polarity Vectors Prediction in 3D Microscopy Images.

[BibT_eX]

[DOI]

Diogo Moura

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

2023

Self-Supervised Segmentation of 3D Fluorescence Microscopy Images Using CycleGAN.

[BibT_eX]

[DOI]

Alice Rosa

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Learning to see VOCs with Liquid Crystal Droplets.

[BibT_eX]

[DOI]

Susana I. C. J. Palma

Proceedings of the IEEE International Symposium on Olfaction and Electronic Nose, 2022

Generating Attention Maps from Eye-gaze for the Diagnosis of Alzheimer’s Disease.

[BibT_eX]

[DOI]

Carlos Antunes

Proceedings of The 1st Gaze Meets ML workshop, 2022

Cross-Modal Transfer Learning Methods for Alzheimer's Disease Diagnosis.

[BibT_eX]

[DOI]

Pedro Pereira

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

Synthetic Generation of 3D Microscopy Images using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Marie Ouarné

Cláudio Areias Franco

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

Curriculum learning for early Alzheimer's Disease diagnosis.

[BibT_eX]

[DOI]

Catarina Gracias

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

2021

Optical Gas Sensing with Liquid Crystal Droplets and Convolutional Neural Networks.

[BibT_eX]

[DOI]

José Frazão

Susana I. C. J. Palma

Sensors, 2021

Unsupervised learning approach for predicting sepsis onset in ICU patients.

[BibT_eX]

[DOI]

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

Joint Segmentation and Pairing of Nuclei and Golgi in 3D Microscopy Images.

[BibT_eX]

[DOI]

Marie Ouarné

Cláudio Areias Franco

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

2020

Ship Detection in SAR Images Using Convolutional Variational Autoencoders.

[BibT_eX]

[DOI]

Nuno Ferreira

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Combining Deep Learning with Handcrafted Features for Cell Nuclei Segmentation <sup>*</sup>.

[BibT_eX]

[DOI]

J. Miguel Sanches

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Interphase Cell Cycle Staging using Deep Learning <sup>*</sup>.

[BibT_eX]

[DOI]

Maria Sofia Fernandes

J. Miguel Sanches

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Unsupervised representation learning and anomaly detection in ECG sequences.

[BibT_eX]

[DOI]

João Pereira

Int. J. Data Min. Bioinform., 2019

Segmentation of Cell Nuclei in Fluorescence Microscopy Images Using Deep Learning.

[BibT_eX]

[DOI]

J. Miguel Sanches

Proceedings of the Pattern Recognition and Image Analysis - 9th Iberian Conference, 2019

Learning Representations from Healthcare Time Series Data for Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

João Pereira

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2018

A Class Imbalance Ordinal Method for Alzheimer's Disease Classification.

[BibT_eX]

[DOI]

Ricardo P. M. Cruz

Jaime S. Cardoso

Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention.

[BibT_eX]

[DOI]

João Pereira

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2017

Atlas based sparse logistic regression for Alzheimer's Disease classification.

[BibT_eX]

[DOI]

Helena Barros

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Texton-Based Ensemble Classification of Landslide Source and Transport Areas in VHR Imagery.

[BibT_eX]

[DOI]

Pedro Pina

IEEE Geosci. Remote. Sens. Lett., 2016

2015

Minimal neighborhood redundancy maximal relevance: Application to the diagnosis of Alzheimer's disease.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Predicting conversion from MCI to AD with FDG-PET brain images at different prodromal stages.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2015

Assessment of supervised methods for mapping rainfall induced landslides in VHR images.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Segmentation of SAR images using textons.

[BibT_eX]

[DOI]

Francisco Seixas

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Longitudinal FDG-PET features for the classification of Alzheimer's disease.

[BibT_eX]

[DOI]

Filipa Rodrigues

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

2013

Diagnosis of Alzheimer's disease using 3D local binary patterns.

[BibT_eX]

[DOI]

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2013

Texton-based diagnosis of Alzheimer's disease.

[BibT_eX]

[DOI]

Durval Campos Costa

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Efficient selection of non-redundant features for the diagnosis of Alzheimer'S disease.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Extending local binary patterns to 3D for the diagnosis of Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Classification of Alzheimer's disease from FDG-PET images using favourite class ensembles.

[BibT_eX]

[DOI]

Carlos Cabral

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012

Decoding visual brain states from fMRI using an ensemble of classifiers.

[BibT_eX]

[DOI]

Carlos Cabral

Patrícia Figueiredo

Pattern Recognit., 2012

3D brain image-based diagnosis of Alzheimer's disease: Bringing medical vision into feature selection.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

Alternative feature extraction methods in 3D brain image-based diagnosis of Alzheimer's Disease.

[BibT_eX]

[DOI]

Eduardo Bicacro

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Hair detection in dermoscopic images using Percolation.

[BibT_eX]

[DOI]

Ana Afonso

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011

Decoding visual stimuli using classifier ensembles with optimized feature selection.

[BibT_eX]

[DOI]

Carlos Cabral

Patrícia Figueiredo

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Boosting Alzheimer Disease Diagnosis Using PET Images.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Separation Between Water and Land in SAR Images Using Region-Based Level Sets.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2009

Crater Detection by a Boosting Approach.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2009

Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images.

[BibT_eX]

[DOI]

Jacinto C. Nascimento

IEEE J. Sel. Top. Signal Process., 2009

Automatic recognition and measurement of butterfly eyespot patterns.

[BibT_eX]

[DOI]

Antónia Monteiro

Biosyst., 2009

Classification of water regions in SAR images using level sets and non-parametric density estimation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

2008

Level set segmentation of dermoscopy images.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Level set segmentation with outlier rejection.

[BibT_eX]

[DOI]

Jacinto C. Nascimento

Proceedings of the International Conference on Image Processing, 2008

Water/land segmentation in SAR images using level sets.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2008

2007

Estimation of Multiple Objects at Unknown Locations with Active Contours.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006

Automatic segmentation of the lungs using multiple active contours and outlier model.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005

Multiple active contour models based on the EM algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2005 International Conference on Image Processing, 2005

An Algorithm for the Detection of Multiple Concentric Circles.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2004

Antibacterial Activity Detection and Evaluation Based on the Detection of Multiple Concentric Circles with the Hough Transform.

[BibT_eX]

[DOI]

Proceedings of the 1st Canadian Conference on Computer and Robot Vision (CRV 2004) 17-19 May 2004, 2004

2001

MRF-motion segmentation based on dominant motion estimation and the detection of uncovered regions.

[BibT_eX]

[DOI]

Moisés Piedade

Proceedings of the 2001 International Conference on Image Processing, 2001

1998

Joint Segmentation and Motion Estimation.

[BibT_eX]

[DOI]