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2020 – today
- 2023
[j15]Sophie Achard
, Jean-François Coeurjolly, Pierre Lafaye de Micheaux, Hanâ Lbath, Jonas Richiardi:
Inter-regional correlation estimators for functional magnetic resonance imaging. NeuroImage 282: 120388 (2023)- [j14]Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Oscar Esteban, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge. Neuroinformatics 21(1): 21-34 (2023) - [c30]Jaume Banus, Augustin Ogier, Roger Hullin, Philippe Meyer, Ruud B. van Heeswijk, Jonas Richiardi:
Deep Spatio-Temporal Multiplex Graph Learning for Cardiac Imaging Classification. ICASSP 2023: 1-5 - [c29]Antoine Madrona, Sebastian Otálora, Elda Fischi Gomez, Veronica Ravano, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Roland Wiest, Richard McKinley, Jonas Richiardi, Jonathan Rafael-Patino:
Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation. ISBI 2023: 1-5 - [e4]Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e3]Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - [i6]Nataliia Molchanova, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Till Huelnhagen, Jonas Richiardi:
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency. CoRR abs/2305.16922 (2023) - 2022
- [j13]Benedetta Franceschiello, Tommaso Di Noto, Alexia Bourgeois, Micah M. Murray, Astrid Minier, Pierre Pouget, Jonas Richiardi, Paolo Bartolomeo, Fabio Anselmi:
Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect. Comput. Methods Programs Biomed. 221: 106929 (2022) - [c28]Sebastian Otálora, Jonathan Rafael-Patino, Antoine Madrona, Elda Fischi Gomez, Veronica Ravano, Tobias Kober, Søren Christensen, Arsany Hakim, Roland Wiest, Jonas Richiardi, Richard McKinley:
Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets. BrainLes@MICCAI 2022: 45-56 - [c27]Veronica Ravano, Jean-François Démonet, Daniel Damian, Reto Meuli, Gian Franco Piredda, Till Huelnhagen, Bénédicte Maréchal, Jean-Philippe Thiran, Tobias Kober, Jonas Richiardi:
Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency. MLCN@MICCAI 2022: 83-92 - [c26]Costa Georgantas, Jonas Richiardi:
Multi-view Omics Translation with Multiplex Graph Neural Networks. WWW (Companion Volume) 2022: 1030-1036 - [i5]Tommaso Di Noto, Meritxell Bach Cuadra, Chirine Atat, Eduardo Gamito Teiga, Monika Hegi, Andreas Hottinger, Patric Hagmann, Jonas Richiardi:
Transfer learning with weak labels from radiology reports: application to glioma change detection. CoRR abs/2210.09698 (2022) - 2021
- [j12]Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf:
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage 238: 118216 (2021) - [c25]Tommaso Di Noto, Chirine Atat, Eduardo Gamito Teiga, Monika Hegi, Andreas Hottinger, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
Diagnostic Surveillance of High-Grade Gliomas: Towards Automated Change Detection Using Radiology Report Classification. PKDD/ECML Workshops (2) 2021: 423-436 - [e2]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e1]Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - [i4]Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Oscar Esteban, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA. CoRR abs/2103.06168 (2021) - [i3]Javier Ortega-Garcia, Julian Fiérrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R. Freire, Joaquin Gonzalez-Rodriguez, Carmen García-Mateo, José Luis Alba-Castro, Elisardo González-Agulla, Enrique Otero Muras, Sonia Garcia-Salicetti, Lorène Allano, Bao Ly-Van, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming W. R. Ng, Michael C. Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrzej Drygajlo, Harald Ganster, Federico M. Sukno, Sri-Kaushik Pavani, Alejandro Frangi, Lale Akarun, Arman Savran:
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB). CoRR abs/2111.08702 (2021) - 2020
- [c24]Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels. MLCN/RNO-AI@MICCAI 2020: 56-66 - [i2]Tommaso Di Noto, Guillaume Marie, Sébastien Tourbier, Yasser Alemán-Gómez, Guillaume Saliou, Meritxell Bach Cuadra, Patric Hagmann, Jonas Richiardi:
An anatomically-informed 3D CNN for brain aneurysm classification with weak labels. CoRR abs/2012.08645 (2020)
2010 – 2019
- 2018
- [c23]Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra:
Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis. BrainLes@MICCAI (1) 2018: 142-151 - [c22]Valeria Kebets, Mitsouko van Assche, Jonas Richiardi, Rachel Goldstein, Reto Meuli, Tobias Kober, Frédéric Assal, Dimitri Van De Ville:
Multivariate and predictive modelling of neural variability in mild cognitive impairment. PRNI 2018: 1-4 - [i1]Francesco La Rosa, Mário João Fartaria, Tobias Kober, Jonas Richiardi, Cristina Granziera, Jean-Philippe Thiran, Meritxell Bach Cuadra:
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis. CoRR abs/1809.03185 (2018) - 2016
- [j11]Dimitri Van De Ville, Viktor K. Jirsa, Stephen C. Strother, Jonas Richiardi, Andrew Zalesky:
Introduction to the Issue on Advanced Signal Processing for Brain Networks. IEEE J. Sel. Top. Signal Process. 10(7): 1131-1133 (2016) - 2015
- [c21]Valeria Kebets, Jonas Richiardi, Mitsouko van Assche, Rachel Goldstein, M. van der Meulen, Patrik Vuilleumier, Dimitri Van De Ville, Frédéric Assal:
Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Joint Modeling of Imaging and Clinical Data. PRNI 2015: 85-88 - 2014
- [c20]J. Gabriel Castrillon, Ahmad Ahmadi, Nassir Navab, Jonas Richiardi:
Learning with multi-site fMRI graph data. ACSSC 2014: 608-612 - 2013
- [j10]Nora Leonardi, Jonas Richiardi, Markus Gschwind, Samanta Simioni, Jean-Marie Annoni, Myriam Schluep, Patrik Vuilleumier, Dimitri Van De Ville:
Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest. NeuroImage 83: 937-950 (2013) - [j9]Jessica Schrouff, Maria João Duarte Rosa, Jane M. Rondina, Andre F. Marquand, Carlton Chu, John Ashburner, Christophe Phillips, Jonas Richiardi, Janaina Mourão Miranda:
PRoNTo: Pattern Recognition for Neuroimaging Toolbox. Neuroinformatics 11(3): 319-337 (2013) - [j8]Jonas Richiardi, Sophie Achard, Horst Bunke, Dimitri Van De Ville:
Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience. IEEE Signal Process. Mag. 30(3): 58-70 (2013) - [c19]Jonas Richiardi, Bernard Ng:
Recent advances in supervised learning for brain graph classification. GlobalSIP 2013: 907-910 - [c18]Soheil Faridi, Jonas Richiardi, Patrik Vuilleumier, Dimitri Van De Ville:
Connectivity searchlight: A novel approach for MRI information mapping using multivariate connectivity. ISBI 2013: 270-273 - [c17]Nora Leonardi, Jonas Richiardi, Dimitri Van De Ville:
Functional connectivity eigennetworks reveal different brain dynamics in multiple sclerosis patients. ISBI 2013: 528-531 - [c16]Jonas Richiardi, André Altmann, Michael D. Greicius:
Two Test Statistics for Cross-Modal Graph Community Significance. PRNI 2013: 70-73 - 2012
- [j7]Jonas Richiardi, Markus Gschwind, Samanta Simioni, Jean-Marie Annoni, Beatrice Greco, Patric Hagmann, Myriam Schluep, Patrik Vuilleumier, Dimitri Van De Ville:
Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity. NeuroImage 62(3): 2021-2033 (2012) - 2011
- [j6]Jonas Richiardi, Hamdi Eryilmaz, Sophie Schwartz, Patrik Vuilleumier, Dimitri Van De Ville:
Decoding brain states from fMRI connectivity graphs. NeuroImage 56(2): 616-626 (2011) - [c15]Jonas Richiardi, Sophie Achard, Edward T. Bullmore, Dimitri Van De Ville:
Classifying Connectivity Graphs Using Graph and Vertex Attributes. PRNI 2011: 45-48 - [r2]Krzysztof Kryszczuk, Jonas Richiardi:
Biometric Sample Quality. Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 104-110 - [r1]Jonas Richiardi, Krzysztof Kryszczuk:
Biometric Systems Evaluation. Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 117-124 - 2010
- [j5]Patricia Besson, Jonas Richiardi, Christophe Bourdin, Lionel Bringoux, Daniel Mestre, Jean-Louis Vercher:
Bayesian networks and information theory for audio-visual perception modeling. Biol. Cybern. 103(3): 213-226 (2010) - [j4]Javier Ortega-Garcia, Julian Fiérrez, Fernando Alonso-Fernandez, Javier Galbally, Manuel R. Freire, Joaquin Gonzalez-Rodriguez, Carmen García-Mateo, José Luis Alba-Castro, Elisardo González-Agulla, Enrique Otero Muras, Sonia Garcia-Salicetti, Lorène Allano, Van-Bao Ly, Bernadette Dorizzi, Josef Kittler, Thirimachos Bourlai, Norman Poh, Farzin Deravi, Ming W. R. Ng, Michael C. Fairhurst, Jean Hennebert, Andreas Humm, Massimo Tistarelli, Linda Brodo, Jonas Richiardi, Andrzej Drygajlo, Harald Ganster, Federico Sukno, Sri-Kaushik Pavani, Alejandro F. Frangi, Lale Akarun, Arman Savran:
The Multiscenario Multienvironment BioSecure Multimodal Database (BMDB). IEEE Trans. Pattern Anal. Mach. Intell. 32(6): 1097-1111 (2010) - [c14]Jonas Richiardi, Dimitri Van De Ville, Kaspar Riesen, Horst Bunke:
Vector Space Embedding of Undirected Graphs with Fixed-cardinality Vertex Sequences for Classification. ICPR 2010: 902-905 - [c13]Jonas Richiardi, Hamdi Eryilmaz, Sophie Schwartz, Patrik Vuilleumier, Dimitri Van De Ville:
Brain decoding of FMRI connectivity graphs using decision tree ensembles. ISBI 2010: 1137-1140
2000 – 2009
- 2009
- [c12]Jonas Richiardi, Krzysztof Kryszczuk, Andrzej Drygajlo:
Static Models of Derivative-Coordinates Phase Spaces for Multivariate Time Series Classification: An Application to Signature Verification. ICB 2009: 1200-1208 - 2008
- [j3]Plamen J. Prodanov, Andrzej Drygajlo, Jonas Richiardi, Anil Alexander:
Low-level grounding in a multimodal mobile service robot conversational system using graphical models. Intell. Serv. Robotics 1(1): 3-26 (2008) - [c11]Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesco:
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification. BIOID 2008: 140-149 - [c10]Jonas Richiardi, Andrzej Drygajlo:
Evaluation of speech quality measures for the purpose of speaker verification. Odyssey 2008: 5 - 2007
- [j2]Krzysztof Kryszczuk, Jonas Richiardi, Plamen J. Prodanov, Andrzej Drygajlo:
Reliability-Based Decision Fusion in Multimodal Biometric Verification Systems. EURASIP J. Adv. Signal Process. 2007 (2007) - [c9]Jonas Richiardi, Krzysztof Kryszczuk, Andrzej Drygajlo:
Quality measures in unimodal and multimodal biometric verification. EUSIPCO 2007: 179-183 - [c8]Jonas Richiardi, Andrzej Drygajlo:
Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication. MCS 2007: 377-386 - [c7]Krzysztof Kryszczuk, Jonas Richiardi, Andrzej Drygajlo:
Reliability Estimation for Multimodal Error Prediction and Fusion. PRIS 2007: 15-26 - 2006
- [j1]Jonas Richiardi, Andrzej Drygajlo, Plamen J. Prodanov:
Confidence and reliability measures in speaker verification. J. Frankl. Inst. 343(6): 574-595 (2006) - [c6]Marcus Liwicki, Andreas Schlapbach, Horst Bunke, Samy Bengio, Johnny Mariéthoz, Jonas Richiardi:
Writer Identification for Smart Meeting Room Systems. Document Analysis Systems 2006: 186-195 - [c5]Jonas Richiardi, Plamen J. Prodanov, Andrzej Drygajlo:
Speaker Verification with Confidence and Reliability Measures. ICASSP (1) 2006: 641-644 - 2005
- [c4]Krzysztof Kryszczuk, Jonas Richiardi, Plamen J. Prodanov, Andrzej Drygajlo:
Error handling in multimodal biometric systems using reliability measures. EUSIPCO 2005: 1-4 - [c3]Jonas Richiardi, Plamen J. Prodanov, Andrzej Drygajlo:
A probabilistic measure of modality reliability in speaker verification. ICASSP (1) 2005: 709-712 - [c2]Jonas Richiardi, Hamed Ketabdar, Andrzej Drygajlo:
Local and Global Feature Selection for On-line Signature Verification. ICDAR 2005: 625-629 - 2003
- [c1]Jonas Richiardi, Andrzej Drygajlo:
Gaussian Mixture Models for on-line signature verification. WBMA@MM 2003: 115-122
Coauthor Index
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