| Ensemble outlier detection and gene selection in triple-negative breast cancer data MB Lopes, A Veríssimo, E Carrasquinha, S Casimiro, N Beerenwinkel, ... BMC bioinformatics 19, 1-15, 2018 | 28 | 2018 |
| Feature selection using decomposed mutual information maximization F Macedo, R Valadas, E Carrasquinha, MR Oliveira, A Pacheco Neurocomputing 513, 215-232, 2022 | 17 | 2022 |
| Image reconstruction based on circulant matrices E Carrasquinha, C Amado, AM Pires, L Oliveira Signal Processing: Image Communication 63, 72-80, 2018 | 14 | 2018 |
| Sparse network-based regularization for the analysis of patientomics high-dimensional survival data A Veríssimo, E Carrasquinha, MB Lopes, AL Oliveira, MF Sagot, S Vinga bioRxiv, 403402, 2018 | 10 | 2018 |
| Identification of influential observations in high-dimensional cancer survival data through the rank product test E Carrasquinha, A Veríssimo, MB Lopes, S Vinga BioData mining 11, 1-14, 2018 | 7 | 2018 |
| Modelling cancer outcomes of bone metastatic patients: combining survival data with N-Telopeptide of type I collagen (NTX) dynamics through joint models H Loureiro, E Carrasquinha, I Alho, AR Ferreira, L Costa, AM Carvalho, ... BMC medical informatics and decision making 19, 1-12, 2019 | 4 | 2019 |
| Variable selection and outlier detection in regularized survival models: application to melanoma gene expression data E Carrasquinha, A Veríssimo, MB Lopes, S Vinga International Conference on Machine Learning, Optimization, and Data Science …, 2018 | 3 | 2018 |
| Positron Emission Tomography–Derived Metrics Predict the Probability of Local Relapse After Oligometastasis-Directed Ablative Radiation Therapy C Greco, O Pares, N Pimentel, V Louro, J Morales, B Nunes, I Antunes, ... Advances in Radiation Oncology 7 (2), 100864, 2022 | 2 | 2022 |
| Network-Based Variable Selection for Survival Outcomes in Oncological Data E Carrasquinha, A Veríssimo, MB Lopes, S Vinga International Work-Conference on Bioinformatics and Biomedical Engineering …, 2020 | 2 | 2020 |
| On the Role of Hub and Orphan Genes in the Diagnosis of Breast Invasive Carcinoma MB Lopes, A Veríssimo, E Carrasquinha, S Vinga International Conference on Machine Learning, Optimization, and Data Science …, 2019 | 2 | 2019 |
| Regularization techniques in radiomics: a case study on the prediction of pCR in breast tumours and the axilla E Carrasquinha, J Santinha, A Mongolin, M Lisitskiya, J Ribeiro, ... International Meeting on Computational Intelligence Methods for …, 2019 | 2 | 2019 |
| Diffusion tensor-based fiber tracking of the male urethral sphincter complex in patients undergoing radical prostatectomy: a feasibility study ASC Verde, J Santinha, E Carrasquinha, N Loucao, A Gaivao, J Fonseca, ... Insights into Imaging 11, 1-12, 2020 | 1 | 2020 |
| Consensus outlier detection in survival analysis using the rank product test E Carrasquinha, A Veríssimo, S Vinga bioRxiv, 421917, 2018 | 1 | 2018 |
| Generalized Linear Mixed Effects Model in the Analysis of Longitudinal Discrete Data E Carrasquinha, MH Gonçalves, MS Cabral Advances in Regression, Survival Analysis, Extreme Values, Markov Processes …, 2013 | 1 | 2013 |
| Radiomics univariate survival analysis in patients with gliomas E Carrasquinha, J Santinha, C Matos, M Figueiredo, N Papanikolaou European Congress of Radiology-ECR 2020, 2020 | | 2020 |
| Random Sample Consensus for the Robust Identification of Outliers in Cancer Data A Veríssimo, MB Lopes, E Carrasquinha, S Vinga International Meeting on Computational Intelligence Methods for …, 2019 | | 2019 |
| Robust bootstrap confidence intervals: an application study for denoising images E Carrasquinha, C Amado, AM Pires 2014 14th International Conference on Computational Science and Its …, 2014 | | 2014 |
| Network-based sparse modeling of breast invasive carcinoma survival data A Verıssimo, E Carrasquinha, MB Lopes, AL Oliveira, MF Sagot, S Vinga | | |
