2024
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications.
CoRR, 2024
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?
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Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023
Understanding metric-related pitfalls in image analysis validation.
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CoRR, 2023
A Collection of Tangible Theory Instruments for Design Anthropology.
Proceedings of the Seventeenth International Conference on Tangible, 2023
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023
Validation of Federated Unlearning on Collaborative Prostate Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
2022
Metrics reloaded: Pitfalls and recommendations for image analysis validation.
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CoRR, 2022
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
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Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022
2021
Hemodynamic matrix factorization for functional magnetic resonance imaging.
NeuroImage, 2021
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework.
Medical Image Anal., 2021
The Medical Segmentation Decathlon.
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CoRR, 2021
Common Limitations of Image Processing Metrics: A Picture Story.
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CoRR, 2021
2020
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets.
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CoRR, 2020
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework.
Medical Image Anal., 2019
A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
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CoRR, 2019
Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging.
Proceedings of the Connectomics in NeuroImaging - Third International Workshop, 2019
2017
Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification.
IEEE Trans. Fuzzy Syst., 2017
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data.
Inf. Sci., 2017
2016
On the influence of feature selection in fuzzy rule-based regression model generation.
Inf. Sci., 2016
2015
A novel associative classification model based on a fuzzy frequent pattern mining algorithm.
Expert Syst. Appl., 2015
2014
A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring.
IEEE Trans. Ind. Informatics, 2014
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers.
Inf. Sci., 2014
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets.
Neurocomputing, 2014
2013
An efficient multi-objective evolutionary fuzzy system for regression problems.
Int. J. Approx. Reason., 2013
Feature Selection Based on Fuzzy Mutual Information.
Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013
Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Urban and social sensing for sustainable mobility in smart cities.
Proceedings of the Sustainable Internet and ICT for Sustainability, 2013
2012
Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach.
IEEE Trans. Fuzzy Syst., 2012
Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity.
Soft Comput., 2011
Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index.
Soft Comput., 2011
Computer-aided detection of lung nodules based on decision fusion techniques.
Pattern Anal. Appl., 2011
Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems.
Proceedings of the FUZZ-IEEE 2011, 2011
2010
Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010
Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems.
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework.
Int. J. Approx. Reason., 2009
Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems.
Evol. Intell., 2009
Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
2008
A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
A Multi-Classifier System for Pulmonary Nodule Classification.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
2007
Computerized detection and diagnosis of lung lesions using CT.
PhD thesis, 2007
Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
Lung Nodule Detection using Eye-Tracking.
Proceedings of the International Conference on Image Processing, 2007
2005
Segmentation and reconstruction of the lung volume in CT images.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
Automated Detection of Pulmonary Nodules in CT Scans.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005
2004
Lung Nodule Detection in CT Scans.
Proceedings of the International Conference on Computational Intelligence, 2004