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Scopus Author ID: 23392100500

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King's College London: London, GB

Employment
Source: Self-asserted source
Michela Antonelli

Works (47)

Understanding the Thoughts and Preferences of Older Adults for Technologies Designed to Detect Feelings of Loneliness: A Qualitative Study (Preprint)

2025-03-10 | Preprint
DOI: 10.2196/preprints.73694
Contributors: Jessica Rees; John Ratcliffe; Wei Liu; Yi Zhou; Sebastien Ourselin; Michela Antonelli; Ashay Patel; Yu Shi; Jingqi Liu; Anthea Tinker et al.
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Conceptualising the context and mechanisms for tackling loneliness in older adults through interventions: A Critical Interpretive Synthesis

2025-01-13 | Preprint
DOI: 10.1101/2025.01.06.25320003
Contributors: John Ratcliffe; Faith Matcham; Erika Molteni; Michela Antonelli; Jessica Rees; Yu Shi; Jingqi Liu; Sebastian Ourselin; Anthea Tinker; Yi Zhou et al.
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Evaluating a Smart Textile Loneliness Monitoring System for Older People: Co-Design and Qualitative Focus Group Study

JMIR Aging
2024-12-17 | Journal article
DOI: 10.2196/57622
Contributors: Freya Probst; Jessica Rees; Zayna Aslam; Nikitia Mexia; Erika Molteni; Faith Matcham; Michela Antonelli; Anthea Tinker; Yu Shi; Sebastien Ourselin et al.
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A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications

2024-06-01 | Preprint
DOI: 10.1101/2024.05.27.596048
Contributors: Lucia Innocenti; Sebastien Ourselin; Vicky Goh; Michela Antonelli; Marco Lorenzi
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Crossref

Evaluating a Smart Textile Loneliness Monitoring System for Older People: Co-Design and Qualitative Focus Group Study (Preprint)

2024-03-03 | Preprint
DOI: 10.2196/preprints.57622
Contributors: Freya Probst; Jessica Rees; Zayna Aslam; Nikitia Mexia; Erika Molteni; Faith Matcham; Michela Antonelli; Anthea Tinker; Yu Shi; Sebastien Ourselin et al.
Source: check_circle
Crossref

Understanding metric-related pitfalls in image analysis validation

Nature Methods
2024-02 | Journal article
DOI: 10.1038/s41592-023-02150-0
Contributors: Annika Reinke; Minu D. Tizabi; Michael Baumgartner; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Acion; Michela Antonelli et al.
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SARS-CoV-2 infection following booster vaccination: Illness and symptom profile in a prospective, observational community-based case-control study

Journal of Infection
2023-12 | Journal article
DOI: 10.1016/j.jinf.2023.08.009
Contributors: Michela Antonelli; Rose S. Penfold; Liane Dos Santos Canas; Carole Sudre; Khaled Rjoob; Ben Murray; Erika Molteni; Eric Kerfoot; Nathan Cheetham; Juan Capdevila Pujol et al.
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The Medical Segmentation Decathlon

Nature Communications
2022-07-15 | Journal article
DOI: 10.1038/s41467-022-30695-9
Contributors: Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens; Bjoern Menze; Olaf Ronneberger; Ronald M. Summers et al.
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Knowledge barriers in a national symptomatic-COVID-19 testing programme

PLOS Global Public Health
2022-01-19 | Journal article
DOI: 10.1371/journal.pgph.0000028
Contributors: Mark S. Graham; Carmen García Peña; Anna May; Thomas Varsavsky; Carole H. Sudre; Benjamin Murray; Kerstin Kläser; Michela Antonelli; Liane S. Canas; Erika Molteni et al.
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COVID-19 due to the B.1.617.2 (Delta) variant compared to B.1.1.7 (Alpha) variant of SARS-CoV-2: two prospective observational cohort studies

2021-11-26 | Other
DOI: 10.1101/2021.11.24.21266748
Contributors: Kerstin Kläser; Erika Molteni; Mark Graham; Liane Canas; Marc FÖsterdahl; Michela Antonelli; Liyuan Chen; Jie Deng; Benjamin Murray; Eric Kerfoot et al.
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Crossref

Hemodynamic matrix factorization for functional magnetic resonance imaging

NeuroImage
2021-05 | Journal article
DOI: 10.1016/j.neuroimage.2021.117814
Contributors: Michael Hütel; Michela Antonelli; Andrew Melbourne; Sebastien Ourselin
Source: check_circle
Crossref

Optimal symptom combinations to aid COVID-19 case identification: analysis from a community-based, prospective, observational cohort

2020-11-24 | Other
DOI: 10.1101/2020.11.23.20237313
Contributors: M Antonelli; J Capdevila; A Chaudhari; J Granerod; LS Canas; MS Graham; K Klaser; M Modat; E Molteni; B Murray et al.
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Crossref

GAS: A genetic atlas selection strategy in multi-atlas segmentation framework

Medical Image Analysis
2019-02 | Journal article
DOI: 10.1016/j.media.2018.11.007
Contributors: Michela Antonelli; M. Jorge Cardoso; Edward W. Johnston; Mrishta Brizmohun Appayya; Benoit Presles; Marc Modat; Shonit Punwani; Sebastien Ourselin
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Crossref

A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data

Information Sciences
2017 | Journal article
DOI: 10.1016/j.ins.2017.06.039
EID:

2-s2.0-85021723041
Contributors: Ferranti, A.; Marcelloni, F.; Segatori, A.; Antonelli, M.; Ducange, P.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification

IEEE Transactions on Fuzzy Systems
2017 | Journal article
DOI: 10.1109/TFUZZ.2016.2578341
EID:

2-s2.0-85018523722
Contributors: Antonelli, M.; Bernardo, D.; Hagras, H.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction

European Radiology
2017 | Journal article
DOI: 10.1007/s00330-017-4907-8
EID:

2-s2.0-85021270534
Contributors: Latifoltojar, A.; Hall-Craggs, M.; Bainbridge, A.; Rabin, N.; Popat, R.; Rismani, A.; D’Sa, S.; Dikaios, N.; Sokolska, M.; Antonelli, M. et al.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

On the influence of feature selection in fuzzy rule-based regression model generation

Information Sciences
2016 | Journal article
DOI: 10.1016/j.ins.2015.09.045
EID:

2-s2.0-84949671877
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.; Segatori, A.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

A novel associative classification model based on a fuzzy frequent pattern mining algorithm

Expert Systems with Applications
2015 | Journal article
DOI: 10.1016/j.eswa.2014.09.021
EID:

2-s2.0-84910677872
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.; Segatori, A.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers

Information Sciences
2014 | Journal article
DOI: 10.1016/j.ins.2014.06.014
EID:

2-s2.0-84906093543
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

A novel approach based on finite-state machines with fuzzy transitions for nonintrusive home appliance monitoring

IEEE Transactions on Industrial Informatics
2014 | Journal article
DOI: 10.1109/TII.2014.2304781
EID:

2-s2.0-84900835927
Contributors: Ducange, P.; Marcelloni, F.; Antonelli, M.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets

Neurocomputing
2014 | Journal article
DOI: 10.1016/j.neucom.2014.04.070
EID:

2-s2.0-84906951435
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

An efficient multi-objective evolutionary fuzzy system for regression problems

International Journal of Approximate Reasoning
2013 | Journal article
DOI: 10.1016/j.ijar.2013.06.005
EID:

2-s2.0-84885599932
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison

Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013
2013 | Conference paper
DOI: 10.1109/IFSA-NAFIPS.2013.6608367
EID:

2-s2.0-84886481783
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.; Segatori, A.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Feature selection based on fuzzy mutual information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013 | Book
DOI: 10.1007/978-3-319-03200-9_4
EID:

2-s2.0-84893780170
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Urban and social sensing for sustainable mobility in smart cities

2013 Sustainable Internet and ICT for Sustainability, SustainIT 2013
2013 | Conference paper
DOI: 10.1109/SustainIT.2013.6685198
EID:

2-s2.0-84893318490
Contributors: Anastasi, G.; Antonelli, M.; Bechini, A.; Brienza, S.; D'Andrea, E.; De Guglielmo, D.; Ducange, P.; Lazzerini, B.; Marcelloni, F.; Segatori, A.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Genetic training instance selection in multiobjective evolutionary fuzzy systems: A coevolutionary approach

IEEE Transactions on Fuzzy Systems
2012 | Journal article
DOI: 10.1109/TFUZZ.2011.2173582
EID:

2-s2.0-84859731717
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers

IEEE International Conference on Fuzzy Systems
2012 | Conference paper
DOI: 10.1109/FUZZ-IEEE.2012.6251174
EID:

2-s2.0-84867593713
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems

IEEE International Conference on Fuzzy Systems
2011 | Conference paper
DOI: 10.1109/FUZZY.2011.6007610
EID:

2-s2.0-80053072555
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Computer-aided detection of lung nodules based on decision fusion techniques

Pattern Analysis and Applications
2011 | Journal article
DOI: 10.1007/s10044-011-0219-9
EID:

2-s2.0-79960834477
Contributors: Antonelli, M.; Cococcioni, M.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index

Soft Computing
2011 | Journal article
DOI: 10.1007/s00500-010-0629-4
EID:

2-s2.0-80052670129
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity

Soft Computing
2011 | Journal article
DOI: 10.1007/s00500-010-0665-0
EID:

2-s2.0-81155126099
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection

IEEE SSCI 2011: Symposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems
2011 | Conference paper
DOI: 10.1109/GEFS.2011.5949489
EID:

2-s2.0-79961227742
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of mamdani fuzzy systems

2010 IEEE World Congress on Computational Intelligence, WCCI 2010
2010 | Conference paper
DOI: 10.1109/FUZZY.2010.5584292
EID:

2-s2.0-78549245503
Contributors: Antonelli, M.; Ducange, P.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems

2010 IEEE World Congress on Computational Intelligence, WCCI 2010
2010 | Conference paper
DOI: 10.1109/FUZZY.2010.5583965
EID:

2-s2.0-78549284895
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

A three-objective evolutionary approach to generate mamdani fuzzy rule-based systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | Book
DOI: 10.1007/978-3-642-02319-4_74
EID:

2-s2.0-70350628698
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Exploiting a new interpretability index in the multi-objective evolutionary learning of mamdani fuzzy rule-based systems

ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications
2009 | Conference paper
DOI: 10.1109/ISDA.2009.166
EID:

2-s2.0-77949500667
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Learning concurrently granularity, membership function parameters and rules of mamdani fuzzy rule-based systems

2009 International Fuzzy Systems Association World Congress and 2009 European Society for Fuzzy Logic and Technology Conference, IFSA-EUSFLAT 2009 - Proceedings
2009 | Conference paper
EID:

2-s2.0-76849115099
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework

International Journal of Approximate Reasoning
2009 | Journal article
DOI: 10.1016/j.ijar.2009.04.004
EID:

2-s2.0-67649126200
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems

Evolutionary Intelligence
2009 | Journal article
DOI: 10.1007/s12065-009-0022-3
EID:

2-s2.0-80051529201
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Segmentation and reconstruction of the lung and the mediastinum volumes in CT images

2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2009
2009 | Conference paper
DOI: 10.1109/ISABEL.2009.5373701
EID:

2-s2.0-77949430381
Contributors: Volpi, S.L.; Antonelli, M.; Lazzerini, B.; Marcelloni, F.; Stefanescu, D.C.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

A multi-classifier system for pulmonary nodule classification

Proceedings - IEEE Symposium on Computer-Based Medical Systems
2008 | Conference paper
DOI: 10.1109/CBMS.2008.70
EID:

2-s2.0-51849116929
Contributors: Antonelli, M.; Cococcioni, M.; Lazzerini, B.; Marcelloni, F.; Stefanescu, D.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

A multi-objective genetic approach to concurrently learn partition granularity and rule bases of Mamdani fuzzy systems

Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
2008 | Conference paper
DOI: 10.1109/HIS.2008.93
EID:

2-s2.0-55349100240
Contributors: Antonelli, M.; Ducange, P.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Lung nodule detection using eye-tracking

Proceedings - International Conference on Image Processing, ICIP
2007 | Conference paper
DOI: 10.1109/ICIP.2007.4379191
EID:

2-s2.0-48149101973
Contributors: Antonelli, M.; Yang, G.-Z.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Modelling a team of radiologists for lung nodule detection in CT scans

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | Book
EID:

2-s2.0-38049160851
Contributors: Antonelli, M.; Cococcioni, M.; Frosini, G.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

A CAD system for lung nodule detection based on an anatomical model and a fuzzy neural network

Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
2006 | Conference paper
DOI: 10.1109/NAFIPS.2006.365451
EID:

2-s2.0-46749110025
Contributors: Antonelli, M.; Frosini, G.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Automated detection of pulmonary nodules in CT scans

Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet
2005 | Conference paper
EID:

2-s2.0-33847207798
Contributors: Antonelli, M.; Frosini, G.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Segmentation and reconstruction of the lung volume in CT images

Proceedings of the ACM Symposium on Applied Computing
2005 | Conference paper
DOI: 10.1145/1066677.1066738
EID:

2-s2.0-33644532505
Contributors: Antonelli, M.; Lazzerini, B.; Marcelloni, F.
Source: Self-asserted source
Michela Antonelli via Scopus - Elsevier

Peer review (6 reviews for 2 publications/grants)

Review activity for Medical image analysis. (3)
Review activity for Nature communications (3)
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