Jonas Richiardi
Orcid: 0000-0002-6975-5634
According to our database1,
Jonas Richiardi
authored at least 51 papers
between 2003 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
NeuroImage, November, 2023
Towards Automated Brain Aneurysm Detection in TOF-MRA: Open Data, Weak Labels, and Anatomical Knowledge.
Neuroinformatics, January, 2023
Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency.
CoRR, 2023
Federated Learning on Heterogeneous Diffusion-Weighted Imaging Data for Acute Stroke Infarct Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Transfer learning with weak labels from radiology reports: application to glioma change detection.
CoRR, 2022
Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect.
Comput. Methods Programs Biomed., 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Neuroimaging Harmonization Using cGANs: Image Similarity Metrics Poorly Predict Cross-Protocol Volumetric Consistency.
Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022
Weighting Schemes for Federated Learning in Heterogeneous and Imbalanced Segmentation Datasets.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022
2021
Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge.
NeuroImage, 2021
Weak labels and anatomical knowledge: making deep learning practical for intracranial aneurysm detection in TOF-MRA.
CoRR, 2021
Diagnostic Surveillance of High-Grade Gliomas: Towards Automated Change Detection Using Radiology Report Classification.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
2020
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
2018
Multivariate and predictive modelling of neural variability in mild cognitive impairment.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
Shallow vs Deep Learning Architectures for White Matter Lesion Segmentation in the Early Stages of Multiple Sclerosis.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
2016
IEEE J. Sel. Top. Signal Process., 2016
2015
Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer's Disease Using Joint Modeling of Imaging and Clinical Data.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
2014
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014
2013
Machine Learning with Brain Graphs: Predictive Modeling Approaches for Functional Imaging in Systems Neuroscience.
IEEE Signal Process. Mag., 2013
Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest.
NeuroImage, 2013
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Functional connectivity eigennetworks reveal different brain dynamics in multiple sclerosis patients.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Connectivity searchlight: A novel approach for MRI information mapping using multivariate connectivity.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
2012
Classifying minimally disabled multiple sclerosis patients from resting state functional connectivity.
NeuroImage, 2012
2011
Proceedings of the Encyclopedia of Cryptography and Security, 2nd Ed., 2011
Proceedings of the Encyclopedia of Cryptography and Security, 2nd Ed., 2011
Proceedings of the 2011 International Workshop on Pattern Recognition in NeuroImaging, 2011
2010
IEEE Trans. Pattern Anal. Mach. Intell., 2010
Biol. Cybern., 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Vector Space Embedding of Undirected Graphs with Fixed-cardinality Vertex Sequences for Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Static Models of Derivative-Coordinates Phase Spaces for Multivariate Time Series Classification: An Application to Signature Verification.
Proceedings of the Advances in Biometrics, Third International Conference, 2009
2008
Low-level grounding in a multimodal mobile service robot conversational system using graphical models.
Intell. Serv. Robotics, 2008
Proceedings of the Odyssey 2008: The Speaker and Language Recognition Workshop, 2008
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification.
Proceedings of the Biometrics and Identity Management, First European Workshop, 2008
2007
EURASIP J. Adv. Signal Process., 2007
Reliability Estimation for Multimodal Error Prediction and Fusion.
Proceedings of the Pattern Recognition in Information Systems, 2007
Reliability-Based Voting Schemes Using Modality-Independent Features in Multi-classifier Biometric Authentication.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007
Proceedings of the 15th European Signal Processing Conference, 2007
2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the Document Analysis Systems VII, 7th International Workshop, 2006
2005
Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
2003
Proceedings of the 2003 ACM SIGMM Workshop on Biometrics Methods and Applications, 2003