Michela Antonelli

According to our database, Michela Antonelli authored at least 50 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Michela Antonelli, Leon D. Mayer, Minu Dietlinde Tizabi, M. Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 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

CoRR, 2023

Understanding metric-related pitfalls in image analysis validation.

Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

CoRR, 2023

A Collection of Tangible Theory Instruments for Design Anthropology.

Jacob Buur, Mary Karyda, Mette Gislev Kjærsgaard, Jessica Sorenson, Ayse Özge Agça, Michela Antonelli

Proceedings of the Seventeenth International Conference on Tangible, 2023

Validation of Federated Unlearning on Collaborative Prostate Segmentation.

Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

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, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger

CoRR, 2022

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.

Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

2021

Hemodynamic matrix factorization for functional magnetic resonance imaging.

Michael Hütel, Michela Antonelli, Andrew Melbourne, Sébastien Ourselin

NeuroImage, 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

The Medical Segmentation Decathlon.

Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso

CoRR, 2021

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, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein

CoRR, 2021

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, Tim D. Spector, Claire J. Steves, Marc Modat, Sébastien Ourselin

CoRR, 2020

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

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

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

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, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso

CoRR, 2019

Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging.

Michael Hütel, Michela Antonelli, Jinendra Ekanayake, Sébastien Ourselin, Andrew Melbourne

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.

Michela Antonelli, Dario Bernardo, Hani Hagras, Francesco Marcelloni

IEEE Trans. Fuzzy Syst., 2017

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

2016

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

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori

Inf. Sci., 2016

2015

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

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

Michela Antonelli, Pietro Ducange, Francesco Marcelloni

Inf. Sci., 2014

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

Michela Antonelli, Pietro Ducange, Francesco Marcelloni

Neurocomputing, 2014

2013

An efficient multi-objective evolutionary fuzzy system for regression problems.

Michela Antonelli, Pietro Ducange, Francesco Marcelloni

Int. J. Approx. Reason., 2013

Feature Selection Based on Fuzzy Mutual Information.

Michela Antonelli, Pietro Ducange, Francesco Marcelloni

Proceedings of the Fuzzy Logic and Applications - 10th International Workshop, 2013

Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison.

Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

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

Proceedings of the Sustainable Internet and ICT for Sustainability, 2013

2012

Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach.

Michela Antonelli, Pietro Ducange, Francesco Marcelloni

IEEE Trans. Fuzzy Syst., 2012

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

Michela Antonelli, Pietro Ducange, Francesco Marcelloni

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.

Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni

Soft Comput., 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

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

Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni

Pattern Anal. Appl., 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

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.

Michela Antonelli, Pietro Ducange, Francesco Marcelloni

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.

Michela Antonelli, Pietro Ducange, Francesco Marcelloni

Proceedings of the FUZZ-IEEE 2010, 2010

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

Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni

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.

Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni

Int. J. Approx. Reason., 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

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

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.

Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni

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.

Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni

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.

Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A Multi-Classifier System for Pulmonary Nodule Classification.

Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni, Dan C. Stefanescu

Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007

Computerized detection and diagnosis of lung lesions using CT.

Michela Antonelli

PhD thesis, 2007

Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans.

Michela Antonelli, Marco Cococcioni, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Lung Nodule Detection using Eye-Tracking.

Michela Antonelli, Guang-Zhong Yang

Proceedings of the International Conference on Image Processing, 2007

2005

Segmentation and reconstruction of the lung volume in CT images.

Michela Antonelli, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Automated Detection of Pulmonary Nodules in CT Scans.

Michela Antonelli, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004

Lung Nodule Detection in CT Scans.

Michela Antonelli, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni

Proceedings of the International Conference on Computational Intelligence, 2004