Lung Nodule Detection in CT Scans. - Michela Antonelli; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (International Conference on Computational Intelligence, 2004)

Automated Detection of Pulmonary Nodules in CT Scans. - Michela Antonelli; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (CIMCA/IAWTIC, 2005)

Segmentation and reconstruction of the lung volume in CT images. - Michela Antonelli; Beatrice Lazzerini; Francesco Marcelloni (SAC, 2005)

Lung Nodule Detection using Eye-Tracking. - Michela Antonelli; Guang-Zhong Yang (ICIP (2), 2007)

Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans. - Michela Antonelli; Marco Cococcioni; Graziano Frosini; Beatrice Lazzerini; Francesco Marcelloni (KES (1), 2007)

Computerized detection and diagnosis of lung lesions using CT. - Michela Antonelli (2007)

A Multi-Classifier System for Pulmonary Nodule Classification. - Michela Antonelli; Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni; Dan C. Stefanescu (CBMS, 2008)

A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (HIS, 2008)

Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (IFSA/EUSFLAT Conf., 2009)

A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (HAIS, 2009)

Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (ISDA, 2009)

Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Evol. Intell., 2009)

Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Int. J. Approx. Reason., 2009)

Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (FUZZ-IEEE, 2010)

Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (FUZZ-IEEE, 2010)

A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (FUZZ-IEEE, 2011)

Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (GEFS, 2011)

Computer-aided detection of lung nodules based on decision fusion techniques. - Michela Antonelli; Marco Cococcioni; Beatrice Lazzerini; Francesco Marcelloni (Pattern Anal. Appl., 2011)

Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2011)

Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity. - Michela Antonelli; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni (Soft Comput., 2011)

Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (FUZZ-IEEE, 2012)

Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (IEEE Trans. Fuzzy Syst., 2012)

Urban and social sensing for sustainable mobility in smart cities. - Giuseppe Anastasi; Michela Antonelli; Alessio Bechini; Simone Brienza; Eleonora D'Andrea; Domenico De Guglielmo; Pietro Ducange; Beatrice Lazzerini; Francesco Marcelloni; Armando Segatori (SustainIT, 2013)

Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni; Armando Segatori (IFSA/NAFIPS, 2013)

Feature Selection Based on Fuzzy Mutual Information. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (WILF, 2013)

An efficient multi-objective evolutionary fuzzy system for regression problems. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (Int. J. Approx. Reason., 2013)

An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (Neurocomputing, 2014)

A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni (Inf. Sci., 2014)

A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring. - Pietro Ducange; Francesco Marcelloni; Michela Antonelli (IEEE Trans. Ind. Informatics, 2014)

A novel associative classification model based on a fuzzy frequent pattern mining algorithm. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni; Armando Segatori (Expert Syst. Appl., 2015)

On the influence of feature selection in fuzzy rule-based regression model generation. - Michela Antonelli; Pietro Ducange; Francesco Marcelloni; Armando Segatori (Inf. Sci., 2016)

A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data. - Andrea Ferranti; Francesco Marcelloni; Armando Segatori; Michela Antonelli; Pietro Ducange (Inf. Sci., 2017)

Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification. - Michela Antonelli; Dario Bernardo; Hani Hagras; Francesco Marcelloni (IEEE Trans. Fuzzy Syst., 2017)

Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging. - Michael Hütel; Michela Antonelli; Jinendra Ekanayake; Sébastien Ourselin; Andrew Melbourne (CNI@MICCAI, 2019)

A large annotated medical image dataset for the development and evaluation of segmentation algorithms. - Amber L. Simpson; Michela Antonelli; Spyridon Bakas; Michel Bilello; Keyvan Farahani; Bram van Ginneken; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; et al. (CoRR, 2019)

GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. - Michela Antonelli; M. Jorge Cardoso; Edward W. Johnston; Mrishta Brizmohun Appayya; Benoît Presles; Marc Modat; Shonit Punwani; Sébastien Ourselin (Medical Image Anal., 2019)

Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI. - Pritesh Mehta; Michela Antonelli; Hashim Uddin Ahmed; Mark Emberton; Shonit Punwani; Sébastien Ourselin (Computer-Aided Diagnosis, 2020)

Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. - Benjamin Murray; Eric Kerfoot; Mark S. Graham; Carole H. Sudre; Erika Molteni; Liane S. Canas; Michela Antonelli; Alessia Visconti; Andrew T. Chan; Paul W. Franks; Richard Davies; Jonathan Wolf; et al. (CoRR, 2020)

Common Limitations of Image Processing Metrics: A Picture Story. - Annika Reinke; Matthias Eisenmann; Minu Dietlinde Tizabi; Carole H. Sudre; Tim Rädsch; Michela Antonelli; Tal Arbel; Spyridon Bakas; M. Jorge Cardoso; Veronika Cheplygina; Keyvan Farahani; Ben Glocker; et al. (CoRR, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework. - Pritesh Mehta; Michela Antonelli; Hashim Uddin Ahmed; Mark Emberton; Shonit Punwani; Sébastien Ourselin (Medical Image Anal., 2021)

Hemodynamic matrix factorization for functional magnetic resonance imaging. - Michael Hütel; Michela Antonelli; Andrew Melbourne; Sébastien Ourselin (NeuroImage, 2021)

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. - Andres Diaz-Pinto; Pritesh Mehta; Sachidanand Alle; Muhammad Asad 001; Richard Brown 004; Vishwesh Nath; Alvin Ihsani; Michela Antonelli; Daniel Palkovics; Csaba Pinter; Ron Alkalay; Steve Pieper 001; et al. (DALI@MICCAI, 2022)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Validation of Federated Unlearning on Collaborative Prostate Segmentation. - Yann Fraboni; Lucia Innocenti; Michela Antonelli; Richard Vidal; Laetitia Kameni; Sébastien Ourselin; Marco Lorenzi (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. - Lucia Innocenti; Michela Antonelli; Francesco Cremonesi; Kenaan Sarhan; Alejandro Granados; Vicky Goh; Sébastien Ourselin; Marco Lorenzi (PKDD/ECML Workshops (4), 2023)

A Collection of Tangible Theory Instruments for Design Anthropology. - Jacob Buur; Mary Karyda 002; Mette Gislev Kjærsgaard; Jessica Sorenson; Ayse Özge Agça; Michela Antonelli (TEI, 2023)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI? - Evangelia Christodoulou; Annika Reinke; Rola Houhou; Piotr Kalinowski; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; Nicola Rieke; Veronika Cheplygina; et al. (MICCAI (10), 2024)

A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications. - Francesco Cremonesi; Lucia Innocenti; Sébastien Ourselin; Vicky Goh; Michela Antonelli; Marco Lorenzi (CoRR, 2024)

Resolution Invariant Autoencoder. - Ashay Patel; Michela Antonelli; Sébastien Ourselin; M. Jorge Cardoso (CoRR, 2025)

False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims. - Evangelia Christodoulou; Annika Reinke; Pascaline Andrè; Patrick Godau; Piotr Kalinowski; Rola Houhou; Selen Erkan; Carole H. Sudre; Ninon Burgos; Sofiène Boutaj; Sophie Loizillon; Maëlys Solal; et al. (CoRR, 2025)