Michela Antonelli

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 20

Top Topics

Prostate Segmentation

Functional Magnetic Resonance Imaging

Imbalanced Datasets

Top Venues

Medical Image Anal.

Publications

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
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR (2023)
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
Understanding metric-related pitfalls in image analysis validation. CoRR (2023)
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation. CoRR (2023)
Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi
Validation of Federated Unlearning on Collaborative Prostate Segmentation. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Jacob Buur, Mary Karyda, Mette Gislev Kjærsgaard, Jessica Sorenson, Ayse Özge Agça, Michela Antonelli
A Collection of Tangible Theory Instruments for Design Anthropology. TEI (2023)
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
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84 (2023)
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
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI (2022)
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 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 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
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR (2022)
Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework. Medical Image Anal. 73 (2021)
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 Arbelaez, 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
The Medical Segmentation Decathlon. CoRR (2021)
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
Common Limitations of Image Processing Metrics: A Picture Story. CoRR (2021)
Michael Hütel, Michela Antonelli, Andrew Melbourne, Sébastien Ourselin
Hemodynamic matrix factorization for functional magnetic resonance imaging. NeuroImage 231 (2021)
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
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets. CoRR (2020)
Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI. Medical Imaging: Computer-Aided Diagnosis (2020)
Michael Hütel, Michela Antonelli, Jinendra Ekanayake, Sébastien Ourselin, Andrew Melbourne
Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging. CNI@MICCAI (2019)
Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework. Medical Image Anal. 52 (2019)
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
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR (2019)
Andrea Ferranti, Francesco Marcelloni, Armando Segatori, Michela Antonelli, Pietro Ducange
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data. Inf. Sci. 415 (2017)
Michela Antonelli, Dario Bernardo, Hani Hagras, Francesco Marcelloni
Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification. IEEE Trans. Fuzzy Syst. 25 (2) (2017)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
On the influence of feature selection in fuzzy rule-based regression model generation. Inf. Sci. 329 (2016)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
A novel associative classification model based on a fuzzy frequent pattern mining algorithm. Expert Syst. Appl. 42 (4) (2015)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers. Inf. Sci. 283 (2014)
Pietro Ducange, Francesco Marcelloni, Michela Antonelli
A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring. IEEE Trans. Ind. Informatics 10 (2) (2014)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets. Neurocomputing 146 (2014)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison. IFSA/NAFIPS (2013)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
An efficient multi-objective evolutionary fuzzy system for regression problems. Int. J. Approx. Reason. 54 (9) (2013)
Giuseppe Anastasi, Michela Antonelli, Alessio Bechini, Simone Brienza, Eleonora D'Andrea, Domenico De Guglielmo, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni, Armando Segatori
Urban and social sensing for sustainable mobility in smart cities. SustainIT (2013)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Feature Selection Based on Fuzzy Mutual Information. WILF (2013)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach. IEEE Trans. Fuzzy Syst. 20 (2) (2012)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers. FUZZ-IEEE (2012)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index. Soft Comput. 15 (10) (2011)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity. Soft Comput. 15 (12) (2011)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems. FUZZ-IEEE (2011)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection. GEFS (2011)
Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
Computer-aided detection of lung nodules based on decision fusion techniques. Pattern Anal. Appl. 14 (3) (2011)
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems. FUZZ-IEEE (2010)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems. FUZZ-IEEE (2010)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework. Int. J. Approx. Reason. 50 (7) (2009)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems. HAIS (2009)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems. IFSA/EUSFLAT Conf. (2009)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems. Evol. Intell. 2 (1-2) (2009)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems. ISDA (2009)
Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni, Dan C. Stefanescu
A Multi-Classifier System for Pulmonary Nodule Classification. CBMS (2008)
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems. HIS (2008)
Michela Antonelli, Marco Cococcioni, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans. KES (1) (2007)
Michela Antonelli, Guang-Zhong Yang
Lung Nodule Detection using Eye-Tracking. ICIP (2) (2007)
Michela Antonelli, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
Automated Detection of Pulmonary Nodules in CT Scans. CIMCA/IAWTIC (2005)
Michela Antonelli, Beatrice Lazzerini, Francesco Marcelloni
Segmentation and reconstruction of the lung volume in CT images. SAC (2005)
Michela Antonelli, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
Lung Nodule Detection in CT Scans. International Conference on Computational Intelligence (2004)