Jonas Richiardi

Publications | Phd and Masters theses

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100 publications

In press | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 |
In press
Self-gated free-running 5D whole-heart MRI using blind source separation for automated cardiac motion extraction.
Montón Quesada I., Ogier A.C., Ishida M., Takafuji M., Ito H., Sakuma H., Romanin L., Roy C.W., Prša M., Richiardi J. et al. Magnetic resonance in medicine. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_1881335098A1]
2024
 
Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis.
Ravano V., Andelova M., Piredda G.F., Sommer S., Caneschi S., Roccaro L., Krasensky J., Kudrna M., Uher T., Corredor-Jerez R.A. et al., 2024/09. Journal of neurology, 271 (9) pp. 5944-5957. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_E7BF3FB2AF82]
 
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency.
Molchanova N., Maréchal B., Thiran J.P., Kober T., Huelnhagen T., Richiardi J., Alzheimer's Disease Neuroimaging Initiative, 2024/06/15. Human brain mapping, 45 (9) pp. e26721. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_F1F51891A9AE]
 
Correction: Cognitive enrichment through art: a randomized controlled trial on the effect of music or visual arts group practice on cognitive and brain development of young children.
James C.E., Tingaud M., Laera G., Guedj C., Zuber S., Palazzi R.D., Vukovic S., Richiardi J., Kliegel M., Marie D., 2024/05/28. BMC complementary medicine and therapies, 24 (1) p. 206. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_E66720B8A3DA]
Cognitive enrichment through art: a randomized controlled trial on the effect of music or visual arts group practice on cognitive and brain development of young children.
James C.E., Tingaud M., Laera G., Guedj C., Zuber S., Diambrini Palazzo R., Vukovic S., Richiardi J., Kliegel M., Marie D., 2024/04/04. BMC complementary medicine and therapies, 24 (1) p. 141. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_84F3DB934B74]
Systematic Estimation of Treatment Effect on Hospitalization Risk as a Drug Repurposing Screening Method
Georgantas Costa, Banus Jaume, Hullin Roger, Richiardi Jonas, 2024/02/29. dans Pacific Symposium on Biocomputing. Peer-reviewed.
[URN][Pmid][serval:BIB_5DBA58A37DDE]
Tract-wise microstructural analysis informs on current and future disability in early multiple sclerosis.
Ravano V., Piredda G.F., Krasensky J., Andelova M., Uher T., Srpova B., Havrdova E.K., Vodehnalova K., Horakova D., Nytrova P. et al., 2024/02. Journal of neurology, 271 (2) pp. 631-641. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_E043C8990BCC]
 
Independent Evaluation of Commercial Diagnostic AI Solutions: A Necessary Step toward Increased Transparency.
Omoumi P., Richiardi J., 2024/01. Radiology, 310 (1) pp. e233299. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_A9B087A1D67D]
2023
Inter-regional correlation estimators for functional magnetic resonance imaging.
Achard S., Coeurjolly J.F., de Micheaux P.L., Lbath H., Richiardi J., 2023/11/15. NeuroImage, 282 p. 120388. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_AC14F7C5BE9B]
 
Weighting schemes for federated learning in heterogeneous and imbalanced segmentation datasets
Otálora Sebastian, Rafael-Patiño Jonathan, Madrona Antoine, Fischi-Gomez Elda, Ravano Veronica, Kober Tobias, Christensen Søren, Hakim Arsany, Wiest Roland, Richiardi Jonas et al., 2023/07/18. dans Crimi Alessandro, Bakas Spyridon (eds.) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, Lecture Notes in Computer Science. Peer-reviewed, Springer Cham.
[DOI][serval:BIB_8576F8F4C127]
Deep Spatio-Temporal Multiplex Graph Learning for Cardiac Imaging Classification
Banus Jaume, Ogier Augustin, Hullin Roger, Meyer Philippe, van Heeswijk Ruud B., Richiardi Jonas, 2023/06/04. dans ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Peer-reviewed.
[URN][DOI][serval:BIB_EE0C7A4E9ACD]
 
Anticipatory deficits in psychosis during social cognition task analysed by task-based EEG dynamic functional connectivity.
Padée A., Missonnier P., Prévot A., Favre G., Gothuey I., Richiardi J., 2023/04. Schizophrenia research, 254 pp. 11-13. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_C21F2023498D]
 
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
Koprinska Irena, Mignone Paolo, Guidotti Riccardo, Jaroszewicz Szymon, Fröning Holger, Gullo Francesco, Ferreira Pedro M., Roqueiro Damian, Ceddia Gaia, Nowaczyk Slawomir, Gama João, Ribeiro Rita, Gavaldà Ricard, Masciari Elio, Ras Zbigniew, Ritacco Ettore, Naretto Francesca, Theissler Andreas, Biecek Przemyslaw, Verbeke Wouter, Schiele Gregor, Pernkopf Franz, Blott Michaela, Bordino Ilaria, Danesi Ivan Luciano, Ponti Giovanni, Severini Lorenzo, Appice Annalisa, Andresini Giuseppina, Medeiros Ibéria, Graça Guilherme, Cooper Lee, Ghazaleh Naghmeh, Richiardi Jonas, Saldana Diego, Sechidis Konstantinos, Canakoglu Arif, Pido Sara, Pinoli Pietro, Bifet Albert, Pashami Sepideh (eds.), 2023., Springer Nature Switzerland.
[DOI][serval:BIB_4D22AEEDED73]
Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge.
Di Noto T., Marie G., Tourbier S., Alemán-Gómez Y., Esteban O., Saliou G., Cuadra M.B., Hagmann P., Richiardi J., 2023/01. Neuroinformatics, 21 (1) pp. 21-34. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_B6A1DE874D8B]
2022
 
Data-driven myelin water imaging based on T1 and T2 relaxometry.
Piredda G.F., Hilbert T., Ravano V., Canales-Rodríguez E.J., Pizzolato M., Meuli R., Thiran J.P., Richiardi J., Kober T., 2022/07. NMR in biomedicine, 35 (7) pp. e4668. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_CE5251164FE4]
 
Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect.
Franceschiello B., Noto T.D., Bourgeois A., Murray M.M., Minier A., Pouget P., Richiardi J., Bartolomeo P., Anselmi F., 2022/06. Computer methods and programs in biomedicine, 221 p. 106929. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_C50F1D3A69E8]
Preparing for a Second Attack: A Lesion Simulation Study on Network Resilience After Stroke.
van Assche M., Klug J., Dirren E., Richiardi J., Carrera E., 2022/06. Stroke, 53 (6) pp. 2038-2047. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_77ECD8C5299B]
Systemic and central nervous system neuroinflammatory signatures of neuropsychiatric symptoms and related cognitive decline in older people.
Clark C., Richiardi J., Maréchal B., Bowman G.L., Dayon L., Popp J., 2022/05/28. Journal of neuroinflammation, 19 (1) p. 127. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_8E3700B6EFDF]
Multi-view Omics Translation with Multiplex Graph Neural Networks
Georgantas Costa, Richiardi Jonas, 2022/04/25. dans Companion Proceedings of the Web Conference 2022. Peer-reviewed.
[URN][DOI][serval:BIB_3600CC42A6F2]
The Cardiomyocyte in Heart Failure with Preserved Ejection Fraction-Victim of Its Environment?
Rocca A., van Heeswijk R.B., Richiardi J., Meyer P., Hullin R., 2022/03/02. Cells, 11 (5) p. 867. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_98080A5141E0]
Cerebrospinal Fluid Cortisol and Dehydroepiandrosterone Sulfate, Alzheimer's Disease Pathology, and Cognitive Decline.
Ouanes S., Clark C., Richiardi J., Maréchal B., Lewczuk P., Kornhuber J., Kirschbaum C., Popp J., 2022. Frontiers in aging neuroscience, 14 p. 892754. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_4BE70E51524E]
 
Diagnostic surveillance of high-grade gliomas: towards automated change detection using radiology report classification
Di Noto Tommaso, Atat Chirine, Teiga Eduardo Gamito, Hegi Monika, Hottinger Andreas, Bach Cuadra Meritxell, Hagmann Patric, Richiardi Jonas, 2022/01/01. pp. 423-436 dans Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2021., Communications in Computer and Information Science. Peer-reviewed, Springer, Cham.
[DOI][serval:BIB_4653B6A7BD8C]
Multi-centre classification of functional neurological disorders based on resting-state functional connectivity.
Weber S., Heim S., Richiardi J., Van De Ville D., Serranová T., Jech R., Marapin R.S., Tijssen MAJ, Aybek S., 2022. NeuroImage. Clinical, 35 p. 103090. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_3A5CAF141517]
 
Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency
Ravano Veronica, Démonet Jean-François, Damian Daniel, Meuli Reto, Piredda Gian Franco, Huelnhagen Till, Maréchal Bénédicte, Thiran Jean-Philippe, Kober Tobias, Richiardi Jonas, 2022. pp. 83-92 dans Lecture Notes in Computer Science. Peer-reviewed, Springer Nature Switzerland.
[DOI][serval:BIB_AA5977ED3C45]
Transfer learning with weak labels from radiology reports: application to glioma change detection
Di Noto Tommaso, Bach Cuadra Meritxell, Atat Chirine, Gamito Teiga Eduardo, Hegi Monika, Hottinger Andreas, Hagmann Patric, Richiardi Jonas, 2022..
[URN][DOI][serval:BIB_9CC85EE111CA]
2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
Timmins K.M., van der Schaaf I.C., Bennink E., Ruigrok Y.M., An X., Baumgartner M., Bourdon P., De Feo R., Noto T.D., Dubost F. et al., 2021/09. NeuroImage, 238 p. 118216. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_175BEC70013C]
Periinfarct rewiring supports recovery after primary motor cortex stroke.
van Assche M., Dirren E., Bourgeois A., Kleinschmidt A., Richiardi J., Carrera E., 2021/09. Journal of cerebral blood flow and metabolism, 41 (9) pp. 2174-2184. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_D32AD5B9427D]
To buy or not to buy-evaluating commercial AI solutions in radiology (the ECLAIR guidelines).
Omoumi P., Ducarouge A., Tournier A., Harvey H., Kahn C.E., Louvet-de Verchère F., Pinto Dos Santos D., Kober T., Richiardi J., 2021/06. European radiology, 31 (6) pp. 3786-3796. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_052270573951]
Plasma neurofilament light and phosphorylated tau 181 as biomarkers of Alzheimer's disease pathology and clinical disease progression.
Clark C., Lewczuk P., Kornhuber J., Richiardi J., Maréchal B., Karikari T.K., Blennow K., Zetterberg H., Popp J., 2021/03/25. Alzheimer's research & therapy, 13 (1) p. 65. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_0A145DCFFCB1]
Applications of MRI connectomics
Damoiseaux Jessica S., Altmann Andre, Richiardi Jonas, Sadaghiani Sepideh, 2021. pp. 323-338 dans Advances in Magnetic Resonance Technology and Applications, Elsevier.
[URN][DOI][serval:BIB_0B02E3A40EFF]
 
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
Kamp Michael, Koprinska Irena, Bibal Adrien, Bouadi Tassadit, Frénay Benoît, Galárraga Luis, Oramas José, Adilova Linara, Krishnamurthy Yamuna, Kang Bo, Largeron Christine, Lijffijt Jefrey, Viard Tiphaine, Welke Pascal, Ruocco Massimiliano, Aune Erlend, Gallicchio Claudio, Schiele Gregor, Pernkopf Franz, Blott Michaela, Fröning Holger, Schindler Günther, Guidotti Riccardo, Monreale Anna, Rinzivillo Salvatore, Biecek Przemyslaw, Ntoutsi Eirini, Pechenizkiy Mykola, Rosenhahn Bodo, Buckley Christopher, Cialfi Daniela, Lanillos Pablo, Ramstead Maxwell, Verbelen Tim, Ferreira Pedro M., Andresini Giuseppina, Malerba Donato, Medeiros Ibéria, Fournier-Viger Philippe, Nawaz M. Saqib, Ventura Sebastian, Sun Meng, Zhou Min, Bitetta Valerio, Bordino Ilaria, Ferretti Andrea, Gullo Francesco, Ponti Giovanni, Severini Lorenzo, Ribeiro Rita, Gama João, Gavaldà Ricard, Cooper Lee, Ghazaleh Naghmeh, Richiardi Jonas, Roqueiro Damian, Saldana Miranda Diego, Sechidis Konstantinos, Graça Guilherme (eds.), 2021., Springer International Publishing.
[DOI][serval:BIB_98B20769EA98]
Validating atlas-based lesion disconnectomics in multiple sclerosis: A retrospective multi-centric study.
Ravano V., Andelova M., Fartaria M.J., Mahdi MFA, Maréchal B., Meuli R., Uher T., Krasensky J., Vaneckova M., Horakova D. et al., 2021. NeuroImage. Clinical, 32 p. 102817. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_2E8CD7A48791]
2020
CVSnet: A machine learning approach for automated central vein sign assessment in multiple sclerosis.
Maggi P., Fartaria M.J., Jorge J., La Rosa F., Absinta M., Sati P., Meuli R., Du Pasquier R., Reich D.S., Bach Cuadra M. et al., 2020/05. NMR in biomedicine, 33 (5) pp. e4283. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_16E178964567]
Deep Learning to Automate Reference-Free Image Quality Assessment of Whole-Heart MR Images
Piccini Davide, Demesmaeker Robin, Heerfordt John, Yerly Jérome, Sopra Lorenzo Di, Masci Pier Giorgio, Schwitter Juerg, Ville Dimitri Van De, Richiardi Jonas, Kober Tobias et al., 2020/05. Radiology: Artificial Intelligence, 2 (3) pp. e190123. Peer-reviewed.
[URN][DOI][serval:BIB_43A0B478C6BE]
An Anatomically-Informed 3D CNN for Brain Aneurysm Classification with Weak Labels
Di Noto Tommaso, Marie Guillaume, Tourbier Sébastien, Alemán-Gómez Yasser, Saliou Guillaume, Bach Cuadra Meritxell, Hagmann Patric, Richiardi Jonas, 2020. pp. 56-66 dans Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, Springer International Publishing.
[URN][DOI][serval:BIB_C85E63E2380A]
Robust correlation for aggregated data with spatial characteristics
Achard Sophie, Coeurjolly Jean-Francois, Micheaux Pierre Lafaye, Richiardi Jonas, 2020..
[URN][serval:BIB_C88EF602CE84]
2019
Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends.
Hirschmann A., Cyriac J., Stieltjes B., Kober T., Richiardi J., Omoumi P., 2019/06. Seminars in musculoskeletal radiology, 23 (3) pp. 304-311. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_6F3744B5DBE8]
 
Using fMRI connectivity to define a treatment-resistant form of post-traumatic stress disorder.
Etkin A., Maron-Katz A., Wu W., Fonzo G.A., Huemer J., Vértes P.E., Patenaude B., Richiardi J., Goodkind M.S., Keller C.J. et al., 2019/04/03. Science translational medicine, 11 (486). Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_5A4DFFF8FC69]
2018
Identifying Motor Functional Neurological Disorder using Resting-State Functional Connectivity
Wegrzyk Jennifer, Kebets Valeria, Richiardi Jonas, Galli Silvio, Ville Dimitri Van, Aybek Selma, 2018. NeuroImage: clinical, 17 pp. 163-168. Peer-reviewed.
[DOI][Pmid][serval:BIB_712C8A1FDA9F]
 
Multivariate and predictive modelling of neural variability in mild cognitive impairment
Kebets Valeria, Assche Mitsouko, Richiardi Jonas, Goldstein Rachel, Meuli Reto, Kober Tobias, Assal Frederic, Van De Ville Dimitri, 2018. dans Proc. 8th Int. Workshop on Pattern Recognition in NeuroImaging (PRNI). Peer-reviewed.
[DOI][serval:BIB_0667CB39857A]
 
Shallow vs deep learning architectures for white matter lesion segmentation in the early stages of multiple sclerosis
Rosa Francesco La, Fartaria Mario Joao, Kober Tobias, Richiardi Jonas, Granziera Cristina, Thiran Jean-Philippe, Cuadra Meritxell Bach, 2018. dans Proc. MICCAI Brain Lesion workshop. Peer-reviewed.
[serval:BIB_B85A5BF35211]
2017
Differences in social decision-making between proposers and responders during the Ultimatum Game: an EEG study
Horat Sibylle, Prévot Anne, Richiardi Jonas, Herrmann Francois R, Favre Gregoire, Merlo Marco C G, Missonnier Pascal, 2017. Frontiers in Integrative Neurosciences, 11. Peer-reviewed.
[DOI][serval:BIB_03298A6A34C5]
2016
Integration and segregation of large-scale brain networks during short-term task automatization
Mohr Holger, Wolfensteller Uta, Betzel Richard F., Misic Bratislav, Sporns Olaf, Richiardi Jonas, Ruge Hannes, 2016. Nature Communications, 7 (13217). Peer-reviewed.
[DOI][serval:BIB_7B82D7A4C35E]
Large-scale functional network reorganization in 22q11.2 deletion syndrome revealed by modularity analysis
Scariati Elisa, Schaer Marie, Karahanoglu Fikret Isik, Schneider Maude, Richiardi Jonas, Debbane Martin, Van De Ville Dimitri, Eliez Stephan, 2016. Cortex, 82 pp. 86-99. Peer-reviewed.
[DOI][serval:BIB_5C17EA066140]
Quantitative and qualitative analysis of transient fetal compartments during prenatal human brain development
Vasung Lana, Lepage Claude, Rado Milan, Pletikos Mihovil, Goldman Jennifer S., Richiardi Jonas, Raguz Marina, Fischi-Gomez Elda, Karama Sherif, Huppi Petra S. et al., 2016. Frontiers in Neuroanatomy. Peer-reviewed.
[DOI][serval:BIB_2E2873301C6C]
2015
Correlated Gene Expression Supports Synchronous Activity in Brain Networks
Richiardi Jonas, Altmann Andre, Milazzo Anna-Clare, Chang Catie, Chakravarty M. Mallar, Banaschewski T., Barker G.J., Bokde A.L.W., Bromberg U., Buechel C. et al., 2015/06. Science, 348 (6240) pp. 1241-1244. Peer-reviewed.
[DOI][Pmid][serval:BIB_CCEAE8D0EDC5]
 
Predicting pure amnestic mild cognitive impairment conversion to {A}lzheimer’s disease using joint modeling of imaging and clinical data
Kebets Valeria, Richiardi Jonas, Assche Mitsouko Van, Goldstein Rachel, Meulen Marian Van, Vuilleumier Patrik, Ville Dimitri Van, Assal Frédéric, 2015/06. pp. 85-88 dans Proc. 5th Int. Workshop on Pattern Recognition in NeuroImaging PRNI. Peer-reviewed.
[DOI][serval:BIB_A6AC93F8B5C4]
Altered cerebrovascular reactivity velocity in mild cognitive impairment and Alzheimer disease
Richiardi Jonas, Monsch Andreas, Haas Tanja, Barkhof Frederik, Ville Dimitri Van, Radue Ernst W, Kressig Reto, Haller Sven, 2015/01. Neurobiology of Aging, 36 (1) pp. 33-41. Peer-reviewed.
[DOI][Pmid][serval:BIB_85EEB9288B77]
 
Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing-remitting multiple sclerosis.
Romascano D., Meskaldji D.E., Bonnier G., Simioni S., Rotzinger D., Lin Y.C., Menegaz G., Roche A., Schluep M., Pasquier R.D. et al., 2015. Human Brain Mapping, 36 (4) pp. 1609-1619. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_F441E7B2D6F4]
2014
 
Head motion parameters in fMRI differ between patients with mild cognitive impairment and Alzheimer disease versus elderly control subjects
Haller Sven, Monsch Andreas, Richiardi Jonas, Barkhof Frederik, Kressig Reto, Radue Ernst, 2014/11. Brain Topography, 27 (6) pp. 801-807. Peer-reviewed.
[DOI][Pmid][serval:BIB_B68FCEA7C628]
 
Identifying 22q11.2 deletion syndrome and psychosis using resting-state connectivity patterns
Scariati Elisa, Schaer Marie, Richiardi Jonas, Schneider Maude, Ville Dimitri Van De, Eliez Stephan, 2014/11. Brain Topography, 27 (6) pp. 808-821. Peer-reviewed.
[DOI][Pmid][serval:BIB_DB4AFBAB3EA3]
 
Neural correlate of anterograde amnesia in Wernicke-Korsakoff syndrome
Nahum Louis, Pignat Jean-Michel, Bouzerda-Wahlen Aurélie, Gabriel Damien, Liverani Maria Chiara, Lazeyeras François, Ptak Radek, Richiardi Jonas, Haller Sven, Thorens Gabriel et al., 2014/08. Brain Topography pp. 760-770. Peer-reviewed.
[DOI][Pmid][serval:BIB_03D9B7C90E65]
 
Graph analysis of functional brain networks: practical issues in translational neurosciences
Vico Fallani Fabrizio, Richiardi Jonas, Chavez Mario, Achard Sophie, 2014. Philosophical Transactions of the Royal Society B: Biological Sciences, 369 (1653). Peer-reviewed.
[DOI][Pmid][serval:BIB_B306F794E48E]
 
Learning with multi-site fMRI graph data
Castrillon Gabriel, Ahmadi Seyed-Ahmad, Navab Nassir, Richiardi Jonas, 2014. pp. 608-612 dans Proc. 48th Asilomar Conference on Signals, Systems, and Computers. Peer-reviewed.
[DOI][serval:BIB_040F364AD954]
2013
 
Recent Advances in Supervised Learning for Brain Graph Classification
Richiardi Jonas, Ng Bernard, 2013/12. dans Proc. 1st IEEE Global Conference on Signal and Information Processing (GlobalSIP) Symposium on Network Theory. Peer-reviewed.
[DOI][serval:BIB_6FCE89B09256]
 
PRoNTo: Pattern Recognition for Neuroimaging Toolbox
Schrouff Jessica, Rosa Maria Joao, Rondina Jane, Marquand Andre, Chu Carlton, Ashburner John, Phillips Christophe, Richiardi Jonas, Mourao-Miranda Janaina, 2013/07. Neuroinformatics, 11 (3) pp. 319-337. Peer-reviewed.
[DOI][Pmid][serval:BIB_764BFC271909]
 
Two test statistics for cross-modal graph community significance
Richiardi Jonas, Altmann Andre, Greicius Michael, 2013/06. pp. 70-73 dans Proc. 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI). Peer-reviewed.
[DOI][serval:BIB_D60E640E0229]
 
Machine Learning With Brain Graphs: predictive modeling approaches for functional imaging in systems neuroscience
Richiardi Jonas, Achard Sophie, Bunke Horst, Ville Dimitri Van De, 2013/05. IEEE Signal Processing Magazine, 30 (3) pp. 58-70. Peer-reviewed.
[DOI][serval:BIB_848877B38B52]
 
Pulsatile blood flow in human bone assessed by laser-Doppler flowmetry and the interpretation of photoplethysmographic signals.
Binzoni T., Tchernin D., Hyacinthe J.N., Van De Ville D., Richiardi J., 2013/03. Physiological measurement, 34 (3) pp. N25-40. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_0665FEB7773B]
 
Attention-related potentials allow for a highly accurate discrimination of mild cognitive impairment subtypes.
Missonnier P., Herrmann F.R., Richiardi J., Rodriguez C., Deiber M.P., Gold G., Giannakopoulos P., 2013. Neuro-degenerative Diseases, 12 (2) pp. 59-70. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_9C19236D5FF3]
 
Connectivity searchlight: a novel approach for fMRI information mapping using functional connectivity
Faridi Soheil, Richiardi Jonas, Vuilleumier Patrik, Ville Dimitri Van De, 2013. dans Proc. International Symposium on Biomedical Imaging (ISBI). Peer-reviewed.
[DOI][serval:BIB_9EEAC82DD898]
 
EEG anomalies in adult ADHD subjects performing a working memory task
Missonnier Pascal, Hasler Roland, Perroud Nader, Herrmann François R., Millet Philippe, Richiardi Jonas, Malafosse Alain, Giannakopoulos Panteleimon, Baud Patrick, 2013. Neuroscience, 241 pp. 135-146. Peer-reviewed.
[DOI][Pmid][serval:BIB_1F40C6002E39]
 
Functional connectivity eigennetworks reveal different temporal dynamics of multiple sclerosis patients
Leonardi Nora, Richiardi Jonas, Ville Dimitri Van De, 2013. dans Proc. International Symposium on Biomedical Imaging (ISBI). Peer-reviewed.
[DOI][serval:BIB_F4D7C7F7BE40]
 
Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest.
Leonardi N., Richiardi J., Gschwind M., Simioni S., Annoni J.M., Schluep M., Vuilleumier P., Van De Ville D., 2013. Neuroimage, 83 pp. 937-950. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_591BB49FEC73]
2012
 
Haemodynamic responses to temperature changes of human skeletal muscle studied by laser-Doppler flowmetry.
Binzoni T., Tchernin D., Richiardi J., Van De Ville D., Hyacinthe J.N., 2012/07. Physiological measurement, 33 (7) pp. 1181-1197. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_C52AB826EFF3]
 
Altered cortical and subcortical local coherence in Obstructive Sleep Apnea: an fMRI study
Santarnecchi Emiliano, Sicilia Isabella, Richiardi Jonas, Vatti Giampaolo, Polizzotto Nicola, Marino Daniela, Rocchi Raffaele, Van De Ville Dimitri, Rossi Alessandro, 2012. Journal of Sleep Research, 22 (3) pp. 337-347. Peer-reviewed.
[DOI][Pmid][serval:BIB_11E00DA1FCB5]
 
Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity.
Richiardi J., Gschwind M., Simioni S., Annoni J.M., Greco B., Hagmann P., Schluep M., Vuilleumier P., Van De Ville D., 2012. Neuroimage, 62 (3) pp. 2021-2033. Peer-reviewed.
[DOI][WoS][Pmid][serval:BIB_FBD0E232174F]
Event-related potentials and changes of brain rhythm oscillations during working memory activation in patients with first-episode psychosis.
Missonnier P., Herrmann F.R., Zanello A., Badan Bâ M., Curtis L., Canovas D., Chantraine F., Richiardi J., Giannakopoulos P., Merlo M.C., 2012. Journal of Psychiatry and Neuroscience : Jpn, 37 (2) pp. 95-105. Peer-reviewed.
[URN][DOI][WoS][Pmid][serval:BIB_9D72605A1573]
Predictive modelling of multiple sclerosis based on whole-brain functional connectivity
Richiardi J., Gschwind M., Simioni S., Annoni J. M., Greco B., Hagmann P., Schluep M., Vuilleumier P., Van De Ville D., 2012. dans OHBM 2012, 18th Annual Meeting of the Organization for Human Brain Mapping.
[URN][serval:BIB_3B9FB644EC28]
2011
 
fMRI functional connectivity estimators robust to region size bias
Achard S., Coeurjolly J.F., Marcillaud R., Richiardi J., 2011/06. pp. 813-816 dans Proc. IEEE Workshop on Statistical Signal Processing (SSP). Peer-reviewed.
[DOI][serval:BIB_2597EDA5B77F]
 
Decoding Brain States from fMRI Connectivity Graphs
Richiardi Jonas, Eryilmaz Hamdi, Schwartz Sophie, Vuilleumier Patrik, Van De Ville Dimitri, 2011/05. NeuroImage, 56 (2) pp. 616-626. Peer-reviewed.
[DOI][Pmid][serval:BIB_4173B9A75AF6]
 
Classifying connectivity graphs using graph and vertex attributes
Richiardi Jonas, Achard Sophie, Bullmore Edward, Ville Dimitri Van De, 2011. pp. 45-48 dans Proc. Int Workshop on Pattern Recognition in NeuroImaging (PRNI). Peer-reviewed.
[DOI][serval:BIB_161FBF6B9122]
2010
 
2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging
Richiardi Jonas, Van de ville Dimitri, Davatzikos Christos, Mourao-Miranda Janaina (eds.), 2010/08., IEEE.
[DOI][serval:BIB_A5CB57816B83]
 
The Multi-Scenario Multi-Environment BioSecure Multimodal Database (BMDB)
Ortega-Garcia Javier, Fierrez Julian, Alonso-Fernandez Fernando, Freire Manuel R., Gonzalez-Rodriguez Joaquin, Garcia-Mateo Carmen, Gonzalez-Agulla Elisardo, Otero-Muras Enrique, Garcia-Salicetti Sonia, Ly-Van Lorene Allanoand Bao et al., 2010/06. IEEE Trans. on Pattern Analysis and Machine Intelligence, 32 (6) pp. 1097-1111. Peer-reviewed.
[DOI][Pmid][serval:BIB_D729C6E0987E]
 
Bayesian networks and information theory for audio-visual perception modeling
Besson Patricia, Richiardi Jonas, Bourdin Christophe, Bringoux Lionel, Mestre Daniel R., Vercher Jean-Louis, 2010. Biological Cybernetics, 103 (3) pp. 213-226. Peer-reviewed.
[DOI][Pmid][serval:BIB_77DC79D8562C]
 
Brain decoding of fMRI connectivity graphs using decision tree ensembles
Richiardi Jonas, Eryilmaz Hamdi, Schwartz Sophie, Vuilleumier Patrik, Ville Dimitri Van De, 2010. pp. 1137-1140 dans Proc. IEEE Int. Symposium on Biomedical Imaging (ISBI). Peer-reviewed.
[DOI][serval:BIB_5EB7929E2795]
 
Low-dimensional embedding of functional connectivity graphs for brain state decoding
Richiardi Jonas, Eryilmaz Hamdi, Ville Dimitri Van De, 2010. pp. 21-24 dans Proc. 1st Workshop on Brain Decoding: pattern recognition challenges in neuroimaging. Peer-reviewed.
[DOI][serval:BIB_B4F885A51FFF]
 
Vector space embedding of undirected graphs with fixed-cardinality vertex sequences for classification
Richiardi Jonas, Ville Dimitri Van De, Riesen Kaspar, Bunke Horst, 2010. pp. 902-905 dans Proc. 20th Int. Conf. on Pattern Recognition (ICPR). Peer-reviewed.
[DOI][serval:BIB_3727C1E28FCB]
2009
 
A context-specific independence model of multisensory perception
Besson Patricia, Richiardi Jonas, 2009/09. p. 3 dans Proc. 3rd French Computational Neuroscience Conf. (Neurocomp 09).
[serval:BIB_8A71880303CD]
 
Impact of combining quality measures on biometric sample matching
Kryszczuk Krzysztof, Richiardi Jonas, Drygajlo Andrzej, 2009/09. pp. 133-138 dans Proc. IEEE 3rd Int. Conf. on Biometrics: Theory, Applications and Systems (BTAS). Peer-reviewed.
[DOI][serval:BIB_538DD1D6244D]
 
Static models of derivative-coordinates phase spaces for multivariate time series classification: an application to signature verification
Richiardi Jonas, Kryszczuk Krzysztof, Drygajlo Andrzej, 2009. pp. 1200-1208 dans Proc. IEEE Int. Conf. on Biometrics. Peer-reviewed.
[DOI][serval:BIB_513BC6E6D9D8]
2008
 
Evaluation of speech quality measures for the purpose of speaker verification
Richiardi Jonas, Drygajlo Andrzej, 2008/01. dans Proc. Odyssey 2008: The Speaker and Language Recognition Workshop. Peer-reviewed.
[serval:BIB_418C4112A082]
 
Promoting Diversity in Gaussian mixture ensembles: an application to signature verification
Richiardi Jonas, Drygajlo Andrzej, Todesco Laetitia, 2008. pp. 140-149 dans Proc. First European Workshop on Biometrics and Identity Management (BIOID). Peer-reviewed, Springer.
[DOI][serval:BIB_7B116D9DF80E]
2007
 
Reliability estimation for multimodal error prediction and fusion
Kryszczuk Krzysztof, Richiardi Jonas, Drygajlo Andrzej, 2007/06. pp. 15-26 dans Proc. 7th Int. Workshop on Pattern Recognition in Information Systems (PRIS 2007). Peer-reviewed.
[DOI][serval:BIB_EE24F359943D]
 
Reliability-based voting schemes using modality-independent features in multi-classifier biometric authentication
Richiardi Jonas, Drygajlo Andrzej, 2007/05. pp. 377-386 dans Proc. 7th Int. Workshop on Multiple Classifier Systems. Peer-reviewed, Springer.
[DOI][serval:BIB_40AA28709FCC]
 
Quality Dependent Fusion of Intramodal and Multimodal Biometric Experts
Kittler J, Poh N, Fatukasi O, Messer K, Kryszczuk K, Richiardi J, Drygajlo A, 2007/04. pp. 653903-1 dans Proc. SPIE Defense and Security Symposium. Peer-reviewed.
[DOI][serval:BIB_D456E46FB0CD]
 
Low-level grounding in a multimodal mobile service robot conversational system using graphical models
Prodanov Plamen, Drygajlo Andrzej, Richiardi Jonas, Alexander Anil, 2007/01. Intelligent Service Robotics, 1 (1) pp. 3-26. Peer-reviewed.
[DOI][serval:BIB_EB5257E95E16]
 
Multimodal biometrics for identity documents.
Dessimoz D., Richiardi J., Champod C., Drygajlo A., 2007. Forensic Science International, 167 (2-3) pp. 154-159. Peer-reviewed.
[URN][serval:BIB_7350194B7490]
 
Quality measures in unimodal and multimodal biometric verification
Richiardi Jonas, Kryszczuk Krzysztof, Drygajlo Andrzej, 2007. pp. 179-183 dans Proc. 15th European Signal Processing Conf. (EUSIPCO). Peer-reviewed.
[serval:BIB_0B877B8F67A5]
 
Reliability-based decision fusion in multimodal biometric verification systems
Kryszczuk Krzysztof, Richiardi Jonas, Prodanov Plamen, Drygajlo Andrzej, 2007. EURASIP Journal of Advances in Signal Processing, 2007. Peer-reviewed.
[DOI][serval:BIB_06F08EED00C8]
2006
 
Confidence and Reliability Measures in Speaker Verification
Richiardi Jonas, Drygajlo Andrzej, Prodanov Plamen, 2006/09. Journal of the Franklin Institute, 343 (6) pp. 574-595. Peer-reviewed.
[DOI][serval:BIB_3BF84ECC4F83]
 
Speaker Verification with Confidence and Reliability Measures
Richiardi Jonas, Prodanov Plamen, Drygajlo Andrzej, 2006/05. pp. 641-644 dans Proc. 2006 IEEE Int. Conf. on Speech, Acoustics and Signal Processing (ICASSP). Peer-reviewed.
[DOI][serval:BIB_EC17984D1383]
 
Writer Identification for Smart Meeting Room Systems
Liwicki Marcus, Schlapbach Andreas, Bunke Horst, Bengio Samy, Mariéthoz Johnny, Richiardi Jonas, 2006/02. pp. 186-195 dans Proc. 7th IAPR Int. Workshop on Document Analysis Systems (DAS). Peer-reviewed.
[DOI][serval:BIB_5F5584CA3C67]
2005
 
Error Handling in Multimodal Biometric Systems using Reliability Measures
Kryszczuk Krzysztof, Richiardi Jonas, Prodanov Plamen, Drygajlo Andrzej, 2005/09. pp. 4-8 dans Proc. 12th European Conf. on Signal Processing (EUSIPCO). Peer-reviewed.
[serval:BIB_4CC6543B209A]
 
Local and Global Feature Selection for On-line Signature Verification
Richiardi Jonas, Ketabdar Hamed, Drygajlo Andrzej, 2005/08. pp. 625-629 dans Proc. IAPR 8th Int. Conf. on Document Analysis and Recognition (ICDAR). Peer-reviewed.
[DOI][serval:BIB_F391700AAAAC]
 
Global feature selection for on-line signature verification
Ketabdar H., Richiardi J., Drygajlo A., 2005/06. pp. 59-63 dans Proc. 12th Conf. of the International Graphonomics Society (IGS). Peer-reviewed.
[DOI][serval:BIB_FE4C2625D981]
Graphical models for dialogue repair in multimodal interaction with service robots
Prodanov P., Richiardi J., Drygajlo A., 2005/05. dans Proc. 8th COST276 workshop. Peer-reviewed.
[serval:BIB_221B8E66E03F]
 
A probabilistic measure of modality reliability in speaker verification
Richiardi J., Prodanov P., Drygajlo A., 2005/03. pp. 709-712 dans Proc. IEEE Int.l Conf. on Acoustics, Speech and Signal Processing (ICASSP). Peer-reviewed.
[DOI][serval:BIB_6DA7B004472D]
2004
 
On-line signature verification resilience to packet loss in IP networks
Richiardi J., Fierrez-Aguilar J., Ortega-Garcia J., Drygajlo A., 2004/03. pp. 9-14 dans Proc. 2nd COST 275 Workshop on Biometrics on the Internet: fundamentals, advances and applications. Peer-reviewed.
[serval:BIB_3443AF702A07]
2003
 
Gaussian mixture models for on-line signature verification
Richiardi J., Drygajlo A., 2003/11. pp. 115-122 dans Proc. ACM SIGMM Multimedia, Workshop on Biometrics methods and applications (WBMA). Peer-reviewed.
[DOI][serval:BIB_9241B65E0FF4]
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