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Helena Aidos

ONGOING

Acronym Title Funding Entity Start Date End Date
DETECT2AD Two Alzheimer’s - Diagnosing distinct types of Alzheimer’s disease in CSF and plasma COMPETE20230 EU FCT P2030 15/07/2025 13/07/2028
TRACKD learning Temporal pRogression pAtterns for Chronic Kidney Disease prognosis FCT | LASIGE 01/10/2026 31/12/2027
ParkProfile Temporal Multimodal PD Patients Profiling FCT | LASIGE 01/12/2025 30/09/2026

PAST

Acronym Title Funding Entity Start Date End Date
BRAINTEASER BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis EU H2020 01/01/2021 30/06/2025
AIpALS Advanced LearnIng Models using Patient Profiles and Disease Progression Patterns for Prognostic Prediction in ALS FCT 01/03/2021 28/02/2025
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Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Isotta Trescato, Lara Ahmad, Helena Aidos, Anca Loredana Alungulese, Riccardo Bellazzi, Roberto Bergamaschi, Giovanni Birolo, Pietro Bosoni, Maria Fernanda Cabrera-Umpiérrez, Paola Cavalla, Adriano Chió, Arianna Dagliati, Mamede de Carvalho, Piero Fariselli, José Manuel García Dominguez, Sergio González Martínez, Marta Gromicho, Alessandro Guazzo, Aleksandar Jovanović, Borko Kostić, Enrico Longato, Sara C. Madeira, Umberto Manera, José Luis Muñoz Blanco, Eleonora Tavazzi, Erica Tavazzi, Elena Trasobares Iglesias, Vladimir Urošević, Martina Vettoretti, Giorgio Maria Di Nunzio, Gianmaria Silvello, Barbara Di Camillo, Nicola Ferro. The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling. Scientific Data, 12, Springer Science and Business Media LLC, 2025 [Biblios]
André Esteves, Sara C. Madeira, Helena Aidos. Temporal Phenotyping of ALS Patients using Machine Learning. Master's dissertation, 2025 [Biblios]
Dias, André Teixeira, Tomás, Helena Isabel Aidos Lopes, Madeira, Sara Alexandra Cordeiro. Triclustering-based patient stratification : a case study in Multiple and Amyotrophic Lateral Sclerosis. Master's dissertation, 2025 [Biblios]
Oliveira, Joel Pereira de, Tomás, Helena Isabel Aidos Lopes , Madeira, Sara . Predicting Clinically Relevant Endpoints in ALS using Multi-label Classification. Master's dissertation, 2025 [Biblios]
Carvalho, Leonor Pedro, Aidos, Helena, Madeira, Sara. Data-driven stratification of ALS patients using phrenic nerve signals. Master's dissertation, 2025 [Biblios]
Miguel Pego Roque, Andreia S. Martins, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás , Helena Aidos. Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis. In European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024). i6doc.com, 2024 [Biblios]
Andreia S. Martins, Daniela M. Amaral, Eduardo N. Castanho, Diogo F. Soares, Ruben Branco, Sara C. Madeira, Helena Aidos. Predicting the functional rating scale and self-assessment status of ALS patients with sensor data. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2024, pages 1366-1379. CEUR-WS.org, 2024 [Biblios]
Giovanni Birolo, Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2024. In Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2024), pages 118-139. Springer Nature Switzerland, 2024 [Biblios]
Giovanni Birolo,  Pietro Bosoni, Guglielmo Faggioli, Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Alessandro Guazzo, Enrico Longato, Sara C. Madeira, Umberto Manera, Stefano Marchesin, Laura Menotti, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Isotta Trescato, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro. Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2024, pages 1312-1330(3740). CEUR-WS.org, 2024 [Biblios]
Eduardo Castanho, Helena Aidos, Sara C. Madeira. Biclustering Data Analysis: A Comprehensive Survey. Briefings in Bioinformatics, 25(4), Oxford University Press (OUP), 2024 [Biblios]
Daniela M. Amaral, Diogo F. Soares, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira, Pedro Tomás, Helena Aidos. Temporal stratification of amyotrophic lateral sclerosis patients using disease progression patterns. Nature Communications, 15(5717), Springer Science and Business Media LLC, 2024 [Biblios]
Eduardo N Castanho, Helena Aidos, Sara C Madeira. Biclustering data analysis: a comprehensive survey, Briefings in Bioinformatics, 2024 [Biblios]
Daniela Moutinho, Vera M. Mendes, Alessandro Caula, Sara C. Madeira, Inês Baldeiras, Manuela Guerreiro, Sandra Cardoso, Johan Gobom, Henrik Zetterberg, Isabel Santana, Alexandre De Mendonça, Helena Aidos, Bruno Manadas. Pathophysiological subtypes of mild cognitive impairment due to Alzheimer’s disease identified by CSF proteomics. Translational Neurodegeneration, 13(1), Springer Science and Business Media LLC, 2024 [Biblios]
Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede Alves de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi. iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge. In 46th European Conference on Information Retrieval (ECIR 2024), pages 53-59. Springer Nature Switzerland, 2024 [Biblios]
Seguro, Afonso Manuel Tito Lopes, Tomás, Helena Isabel Aidos Lopes, Madeira, Sara Alexandra Cordeiro. Temporal unsupervised learning models to study ALS progression. Master's dissertation, 2024 [Biblios]
Figueiras, Hugo Miguel Pereira, Garcia, Nuno Cruz, Tomás, Helena Isabel Aidos Lopes. Contrastive Learning For Medical Imaging. Master's dissertation, 2024 [Biblios]
Irene Aiello, Arianna Dagliati, Helena Aidos. Trajectories Mining for Temporal Phenotyping of ALS Patients using Predictive Clustering. Master's dissertation, 2024 [Biblios]
Bernardo Gomes, José Coelho, Helena Aidos. A survey on traffic flow prediction and classification. Intelligent Systems with Applications, 20, Elsevier BV, 2023 [Biblios]
Gonçalo Falcão, Armando M. Fernandes, Nuno Garcia, Helena Aidos, Pedro Tomás. Stacking Deep Learning Models for Early Detection of Wildfire Smoke Plumes. In 2023 31st European Signal Processing Conference (EUSIPCO). IEEE, 2023 [Biblios]
Ruben Branco, Joana Barros Valente, Andreia S. Martins, Diogo F. Soares, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos. Survival analysis for multiple sclerosis: predicting risk of disease worsening. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2023 , pages 1199-1209. CEUR-WS.org , 2023 [Biblios]
Ruben Branco, Diogo F. Soares, Andreia S. Martins, Joana Barros Valente, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos. Investigating the Impact of Environmental Data on ALS Prognosis with Survival Analysis. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2023, pages 1186-1198. CEUR-WS.org, 2023 [Biblios]
João Guerreiro, Pedro Tomás, Nuno Garcia, Helena Aidos. Super-resolution of magnetic resonance images using Generative Adversarial Networks. Computerized Medical Imaging and Graphics, 108, Elsevier BV, 2023 [Biblios]
Erica Tavazzi, Enrico Longato, Martina Vettoretti, Helena Aidos, Isotta Trescato, Chiara Roversi, Andreia S. Martins, Eduardo N. Castanho, Ruben Branco, Diogo F. Soares, Alessandro Guazzo, Giovanni Birolo, Daniele Pala, Pietro Bosoni, Adriano Chiò, Umberto Manera, Mamede de Carvalho, Bruno Miranda, Marta Gromicho, Inês Alves, Riccardo Bellazzi, Arianna Dagliati, Piero Fariselli, Sara C. Madeira, Barbara Di Camillo. Artificial intelligence and statistical methods for stratification and prediction of progression in amyotrophic lateral sclerosis: A systematic review. Artificial Intelligence in Medicine, Elsevier BV, 2023 [Biblios]
Helena Aidos, Roberto Bergamaschi, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Barbara Di Camillo, Mamede Alves de Carvalho, Nicola Ferro, Piero Fariselli, Jose Manuel García Dominguez, Sara C. Madeira, Eleonora Tavazzi. iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. In European Conference on Information Retrieval, pages 491-498. Springer Nature Switzerland, 2023 [Biblios]
Valente, Joana Filipa Barros, Tomás, Helena Isabel Aidos Lopes, Madeira, Sara Alexandra Cordeiro. Relapse Prediction in Multiple Sclerosis: a Supervised Learning Approach. Master's dissertation, 2023 [Biblios]
Garcia, Afonso Neves, Madeira, Sara Alexandra Cordeiro, Aidos, Helena. Modelo preditivo para a aquisição do produto Solar da EDP Comercial. Master's dissertation, 2023 [Biblios]
Castilho, Carolina da Silva, Tomás, Helena Isabel Aidos Lopes. Unsupervised learning models for patient stratification in ALS. Master's dissertation, 2023 [Biblios]
Freitas, João Capucho Correia de, Tomás, Helena Isabel Aidos Lopes. Forecasting travel assistance demand with Machine Learning. Master's dissertation, 2023 [Biblios]
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023. In 14th International Conference of the CLEF Association, CLEF 2023, pages 343-369. Springer Nature Switzerland, 2023 [Biblios]
Guglielmo Faggioli, Alessandro Guazzo, Stefano Marchesin, Laura Menotti, Isotta Trescato, Helena Aidos, Roberto Bergamaschi, Giovanni Birolo, Paola Cavalla, Adriano Chiò, Arianna Dagliati, Mamede de Carvalho, Giorgio Maria Di Nunzio, Piero Fariselli, Jose Manuel García Dominguez, Marta Gromicho, Enrico Longato, Sara C. Madeira, Umberto Manera, Gianmaria Silvello, Eleonora Tavazzi, Erica Tavazzi, Martina Vettoretti, Barbara Di Camillo, Nicola Ferro. Overview of iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge. In Intelligent Disease Progression Prediction (iDPP) at CLEF. CEUR-WS.org, 2023 [Biblios]
Fabiana Rapicavoli, Isotta Trescato, Helena Aidos, Barbara Di Camillo. Stratification and Prognosis Prediction in Amyotrophic Lateral Sclerosis Disease. Master's dissertation, 2023 [Biblios]
Daniela Amaral, Pedro Tomás, Helena Aidos. Learning Temporal Patterns for Patient Stratification in ALS. Master's dissertation, 2023 [Biblios]
Rodrigo Pinto, Pedro Tomás, Helena Aidos. Semi-supervised brain lesion segmentation: a deep learning approach. Master's dissertation, 2023 [Biblios]
Gonçalo Falcão, Pedro Tomás, Helena Aidos. Exploiting diffusion-based data augmentation and a classifier ensemble for early wild fire detection. Master's dissertation, 2023 [Biblios]
Francisco Malveiro, Pedro Tomás , Helena Aidos. Explaining Deep Prognostic Models of Amyotrophic Lateral Sclerosis. Master's dissertation, 2023 [Biblios]
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Piero Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro. Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2022. In 12th International Conference of the CLEF Association, CLEF 2022, pages 395-422. Springer International Publishing, 2022 [Biblios]
João Mendes, José Domingues, Helena Aidos, Nuno Garcia, Nuno Matela. AI in Breast Cancer Imaging: A Survey of Different Applications. Journal of Imaging, 8(9), MDPI AG, 2022 [Biblios]
Alessandro Guazzo, Isotta Trescato, Enrico Longato, Enidia Hazizaj, Dennis Dosso, Guglielmo Faggioli, Giorgio Maria Di Nunzio, Gianmaria Silvello, Martina Vettoretti, Erica Tavazzi, Chiara Roversi, Pietro Fariselli, Sara C. Madeira, Mamede de Carvalho, Marta Gromicho, Adriano Chiò, Umberto Manera, Arianna Dagliati, Giovanni Birolo, Helena Aidos, Barbara Di Camillo, Nicola Ferro. Overview of iDPP@CLEF 2022: The Intelligent Disease Progression Prediction Challenge. In Intelligent Disease Progression Prediction (iDPP) at CLEF, pages 1130-1210. CEUR-WS.org, 2022 [Biblios]
Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Susana Nunes, Filipa Serrano, Rita T. Sousa, Catia Pesquita, Sara C. Madeira, Helena Aidos. Hierarchical Modelling for ALS Prognosis: Predicting the Progression Towards Critical Events. In Intelligent Disease Progression Prediction (iDPP) at CLEF, pages 1211-1227. CEUR-WS.org, 2022 [Biblios]
Susana Nunes, Rita T. Sousa, Filipa Serrano, Ruben Branco, Diogo F. Soares, Andreia S. Martins, Eleonora Auletta, Eduardo N. Castanho, Sara C. Madeira, Helena Aidos,  Catia Pesquita. Explaining Artificial Intelligence Predictions of Disease Progression with Semantic Similarity. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2022. CEUR-WS.org, 2022 [Biblios]
Helena Aidos. Exploiting second-order dissimilarity representations for hierarchical clustering and visualization. Data Mining and Knowledge Discovery, Springer Science and Business Media LLC, 2022 [Biblios]
Alessandro Caula, Sara C. Madeira, Helena Aidos, Pietro Di Lena. Identifying subtypes of Mild Cognitive Impairment due to Alzheimer’s disease in cerebrospinal fluid proteomics: a Machine Learning approach. Master's dissertation, 2022 [Biblios]
Gomes, Bernardo Policarpo, Coelho, José Romana Baptista, Tomás, Helena Isabel Aidos Lopes. Creation of general traffic indicators for the city of Lisbon through the crossing of diversified information. Master's dissertation, 2022 [Biblios]
Miguel Roque, Helena Aidos, Pedro Tomás. A Deep Temporal Consensus Clustering approach for Amyotrophic Lateral Sclerosis Patient Stratification. Master's dissertation, 2022 [Biblios]
Miguel Gonçalves, Helena Aidos, Pedro Tomás. Automatic detection of forest fires: a deep learning approach. Master's dissertation, 2022 [Biblios]
Miguel Neves, Helena Aidos, Pedro Tomás. A Study on Generative Augmentation with cGANs for improved Chest X-ray Classification. Master's dissertation, 2022 [Biblios]
Gustavo Augusto Toscano Morais, Pedro Tomás, Helena Aidos. Generative Deep Clustering with the Hierarchical and Relativistic Wasserstein Autoencoder GAN. Master's dissertation, 2021 [Biblios]
Pedro de Távora Barroco e Moreira dos Santos, Helena Isabel Aidos Lopes Tomás, Pedro Tomás. A mixture-of-experts approach to deep image clustering. Master's dissertation, 2021 [Biblios]
João Paulo Goulart Pedrosa, Helena Isabel Aidos Lopes Tomás, Pedro Tomás. Exploiting machine learning techniques to predict Alzheimer’s disease progression. Master's dissertation, 2021 [Biblios]
José Carlos André Nobre, Helena Isabel Aidos Lopes Tomás, Pedro Tomás. Predicting Alzheimer’s disease progression: a deep learning approach. Master's dissertation, 2021 [Biblios]
Mafalda Cardoso de Lemos Gomes Beleza, Helena Isabel Aidos Lopes Tomás. Modeling Alzheimer’s Disease progression using Temporal Data. Master's dissertation, 2021 [Biblios]
Helena Aidos, Pedro Tomás. Neighborhood-aware Autoencoder for Missing Value Imputation. In 28th European Signal Processing Conference (EUSIPCO), pages 1542-1546. IEEE, 2021 [Biblios]
Jorge Pessoa, Helena Aidos, Pedro Tomas, Mario A. T. Figueiredo. End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders. In 2020 IEEE Workshop on Signal Processing Systems (SiPS). IEEE, 2020 [Biblios]
Joana Matos, Sofia Pires, Helena Aidos, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira. Unravelling Disease Presentation Patterns in ALS Using Biclustering for Discriminative Meta-Features Discovery. In Bioinformatics and Biomedical Engineering,Lecture Notes in Computer Science, pages 517-528. Springer International Publishing, 2020 [Biblios]
Pedro Sa, Helena Aidos, Nuno Roma, Pedro Tomas. Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices. In 2019 27th European Signal Processing Conference (EUSIPCO). IEEE, 2019 [Biblios]
João Pedro Costa Ramos dos Santos, Tomás, Helena Isabel Aidos Lopes. Solução Cloud Based Development – CRM. Master's dissertation, 2019 [Biblios]
Nuno Lourenco, Joao Rosa, Ricardo Martins, Helena Aidos, Antonio Canelas, Ricardo Povoa, Nuno Horta. On the Exploration of Promising Analog IC Designs via Artificial Neural Networks. In 2018 15th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD). IEEE, 2018 [Biblios]
Sílvia Aguiar Rosa, Ana Agapito, Rui M. Soares, Lídia Sousa, José Alberto Oliveira, Ana Abreu, Ana Sofia Silva, Sandra Alves, Helena Aidos, Fátima F. Pinto, Rui Cruz Ferreira. Congenital heart disease in adults: Assessmentof functional capacity using cardiopulmonary exercise testing. Revista Portuguesa de Cardiologia, 37(5):399-405, Elsevier BV, 2018 [Biblios]
Diana Batista, Helena Aidos, Ana Fred, Joana Santos, Rui Cruz Ferreira, Rui César das Neves. Protecting the ECG Signal in Cloud-based User Identification System – A Dissimilarity Representation Approach. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2018 [Biblios]
Helena Aidos, Ana Fred. Discrimination of Alzheimer’s Disease using longitudinal information. Data Mining and Knowledge Discovery, 31(4):1006-1030, Springer Science and Business Media LLC, 2017 [Biblios]
Isidora Šaši?, Sanja Brdar, Tatjana Lon?ar-Turukalo, Helena Aidos, Ana Fred. Consensus Clustering for Cancer Gene Expression Data – Large-Scale Analysis using Evidence Accumulation Approach. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies. SCITEPRESS - Science and Technology Publications, 2017 [Biblios]
Afonso Eduardo, Helena Aidos, Ana Fred. ECG-based Biometrics using a Deep Autoencoder for Feature Learning – An Empirical Study on Transferability. In Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and Technology Publications, 2017 [Biblios]
Ana T. Timóteo, André V. Monteiro, Guilherme Portugal, Pedro Teixeira, Helena Aidos, Maria L. Ferreira, Rui C. Ferreira. Validation of two US risk scores for percutaneous coronary intervention in a single-center Portuguese population of patients with acute coronary syndrome. Revista Portuguesa de Cardiologia, 35(2):73-78, Elsevier BV, 2016 [Biblios]
Carlos Carreiras, André Lourenço, Helena Aidos, Hugo Plácido da Silva, Ana L. N. Fred. Unsupervised Analysis of Morphological ECG Features for Attention Detection, In Studies in Computational Intelligence,Computational Intelligence, pages 437 - 453. Springer International Publishing, 2016 [Biblios]
Diogo Silva, Helena Aidos, Ana Fred. Efficient Evidence Accumulation Clustering for Large Datasets. In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods. SCITEPRESS - Science and and Technology Publications, 2016 [Biblios]