Michela Antonelli

60 papers B 6C 2Misc 2Journal 32Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Performance uncertainty in medical image analysis: a large-scale investigation of confidence intervals.
CoRR
Pascaline Andrè, Charles Heitz, Evangelia Christodoulou, Annika Reinke, Carole H. Sudre, Michela Antonelli, Patrick Godau, M. Jorge Cardoso, Antoine Gilson, Sophie Tezenas du Montcel, Gaël Varoquaux, Lena Maier-Hein, Olivier Colliot
2025 J jnl
False Promises in Medical Imaging AI? Assessing Validity of Outperformance Claims.
CoRR
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, Veronika Cheplygina, Charles Heitz, Michal Kozubek, Michela Antonelli, Nicola Rieke, Antoine Gilson, Leon D. Mayer, Minu Dietlinde Tizabi, Manuel Jorge Cardoso, Amber L. Simpson, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein
2025 J jnl
MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation.
CoRR
Yovin Yahathugoda, Davide Prezzi, Piyalitt Ittichaiwong, Vicky Goh, Sébastien Ourselin, Michela Antonelli
2025 — conf
Resolution Invariant Autoencoder.
DGM4MICCAI@MICCAI
Ashay Patel, Michela Antonelli, Sébastien Ourselin, M. Jorge Cardoso
2025 J jnl
Resolution Invariant Autoencoder.
CoRR
Ashay Patel, Michela Antonelli, Sébastien Ourselin, M. Jorge Cardoso
2025 — conf
Some Hidden Traps of Confidence Intervals in Medical Image Segmentation: Coverage Issues.
BRIDGE/DeCaF@MICCAI
Pascaline Andrè, Charles Heitz, Evangelia Christodoulou, Annika Reinke, Carole H. Sudre, Michela Antonelli, M. Jorge Cardoso, Antoine Gilson, Sophie Tezenas du Montcel, Gaël Varoquaux, Lena Maier-Hein, Olivier Colliot
2024 J jnl
A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications.
CoRR
Francesco Cremonesi, Lucia Innocenti, Sébastien Ourselin, Vicky Goh, Michela Antonelli, Marco Lorenzi
2024 — conf
Confidence Intervals Uncovered: Are We Ready for Real-World Medical Imaging AI?
MICCAI (10)
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
2024 J jnl
Confidence intervals uncovered: Are we ready for real-world medical imaging AI?
CoRR
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, Manuel Jorge Cardoso, Amber L. Simpson, Paul F. Jäger, Annette Kopp-Schneider, Gaël Varoquaux, Olivier Colliot, Lena Maier-Hein
2023 B conf
A Collection of Tangible Theory Instruments for Design Anthropology.
TEI
Jacob Buur, Mary Karyda, Mette Gislev Kjærsgaard, Jessica Sorenson, Ayse Özge Agça, Michela Antonelli
2023 — conf
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
PKDD/ECML Workshops (4)
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
2023 J jnl
Benchmarking Collaborative Learning Methods Cost-Effectiveness for Prostate Segmentation.
CoRR
Lucia Innocenti, Michela Antonelli, Francesco Cremonesi, Kenaan Sarhan, Alejandro Granados, Vicky Goh, Sébastien Ourselin, Marco Lorenzi
2023 J jnl
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
CoRR
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
2023 J jnl
The Liver Tumor Segmentation Benchmark (LiTS).
Medical Image Anal.
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
2023 J jnl
Understanding metric-related pitfalls in image analysis validation.
CoRR
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
2023 — conf
Validation of Federated Unlearning on Collaborative Prostate Segmentation.
ISIC/Care-AI/MedAGI/DeCaF@MICCAI
Yann Fraboni, Lucia Innocenti, Michela Antonelli, Richard Vidal, Laetitia Kameni, Sébastien Ourselin, Marco Lorenzi
2022 — conf
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.
DALI@MICCAI
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
2022 J jnl
Metrics reloaded: Pitfalls and recommendations for image analysis validation.
CoRR
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
2021 J jnl
Common Limitations of Image Processing Metrics: A Picture Story.
CoRR
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
2021 J jnl
Computer-aided diagnosis of prostate cancer using multiparametric MRI and clinical features: A patient-level classification framework.
Medical Image Anal.
Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
2021 J jnl
Hemodynamic matrix factorization for functional magnetic resonance imaging.
NeuroImage
Michael Hütel, Michela Antonelli, Andrew Melbourne, Sébastien Ourselin
2021 J jnl
The Medical Segmentation Decathlon.
CoRR
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
2020 J jnl
Accessible Data Curation and Analytics for International-Scale Citizen Science Datasets.
CoRR
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
2020 — conf
Decision fusion of 3D convolutional neural networks to triage patients with suspected prostate cancer using volumetric biparametric MRI.
Computer-Aided Diagnosis
Pritesh Mehta, Michela Antonelli, Hashim Uddin Ahmed, Mark Emberton, Shonit Punwani, Sébastien Ourselin
2019 J jnl
A large annotated medical image dataset for the development and evaluation of segmentation algorithms.
CoRR
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
2019 J jnl
GAS: A genetic atlas selection strategy in multi-atlas segmentation framework.
Medical Image Anal.
Michela Antonelli, M. Jorge Cardoso, Edward W. Johnston, Mrishta Brizmohun Appayya, Benoît Presles, Marc Modat, Shonit Punwani, Sébastien Ourselin
2019 — conf
Hemodynamic Matrix Factorization for Functional Magnetic Resonance Imaging.
CNI@MICCAI
Michael Hütel, Michela Antonelli, Jinendra Ekanayake, Sébastien Ourselin, Andrew Melbourne
2017 J jnl
A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data.
Inf. Sci.
Andrea Ferranti, Francesco Marcelloni, Armando Segatori, Michela Antonelli, Pietro Ducange
2017 J jnl
Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification.
IEEE Trans. Fuzzy Syst.
Michela Antonelli, Dario Bernardo, Hani Hagras, Francesco Marcelloni
2016 J jnl
On the influence of feature selection in fuzzy rule-based regression model generation.
Inf. Sci.
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
2015 J jnl
A novel associative classification model based on a fuzzy frequent pattern mining algorithm.
Expert Syst. Appl.
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
2014 J jnl
A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring.
IEEE Trans. Ind. Informatics
Pietro Ducange, Francesco Marcelloni, Michela Antonelli
2014 J jnl
A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers.
Inf. Sci.
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2014 J jnl
An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets.
Neurocomputing
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2013 J jnl
An efficient multi-objective evolutionary fuzzy system for regression problems.
Int. J. Approx. Reason.
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2013 — conf
Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison.
IFSA/NAFIPS
Michela Antonelli, Pietro Ducange, Francesco Marcelloni, Armando Segatori
2013 — conf
Feature Selection Based on Fuzzy Mutual Information.
WILF
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2013 — conf
Urban and social sensing for sustainable mobility in smart cities.
SustainIT
Giuseppe Anastasi, Michela Antonelli, Alessio Bechini, Simone Brienza, Eleonora D'Andrea, Domenico De Guglielmo, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni, Armando Segatori
2012 J jnl
Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach.
IEEE Trans. Fuzzy Syst.
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2012 B conf
Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers.
FUZZ-IEEE
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2011 B conf
A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems.
FUZZ-IEEE
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2011 J jnl
Computer-aided detection of lung nodules based on decision fusion techniques.
Pattern Anal. Appl.
Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni
2011 J jnl
Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index.
Soft Comput.
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2011 J jnl
Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity.
Soft Comput.
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2011 — conf
Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection.
GEFS
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2010 B conf
Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems.
FUZZ-IEEE
Michela Antonelli, Pietro Ducange, Francesco Marcelloni
2010 B conf
Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems.
FUZZ-IEEE
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2009 Misc conf
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems.
HAIS
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2009 C conf
Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems.
ISDA
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2009 — conf
Learning Concurrently Granularity, Membership Function Parameters and Rules of Mamdani Fuzzy Rule-based Systems.
IFSA/EUSFLAT Conf.
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2009 J jnl
Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework.
Int. J. Approx. Reason.
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2009 J jnl
Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems.
Evol. Intell.
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2008 B conf
A Multi-Classifier System for Pulmonary Nodule Classification.
CBMS
Michela Antonelli, Marco Cococcioni, Beatrice Lazzerini, Francesco Marcelloni, Dan C. Stefanescu
2008 C conf
A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems.
HIS
Michela Antonelli, Pietro Ducange, Beatrice Lazzerini, Francesco Marcelloni
2007 — —
Computerized detection and diagnosis of lung lesions using CT.
Michela Antonelli
2007 — conf
Lung Nodule Detection using Eye-Tracking.
ICIP (2)
Michela Antonelli, Guang-Zhong Yang
2007 — conf
Modelling a Team of Radiologists for Lung Nodule Detection in CT Scans.
KES (1)
Michela Antonelli, Marco Cococcioni, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
2005 — conf
Automated Detection of Pulmonary Nodules in CT Scans.
CIMCA/IAWTIC
Michela Antonelli, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni
2005 Misc conf
Segmentation and reconstruction of the lung volume in CT images.
SAC
Michela Antonelli, Beatrice Lazzerini, Francesco Marcelloni
2004 — conf
Lung Nodule Detection in CT Scans.
International Conference on Computational Intelligence
Michela Antonelli, Graziano Frosini, Beatrice Lazzerini, Francesco Marcelloni