Cristina Granziera
Orcid: 0000-0002-4917-8761
According to our database1,
Cristina Granziera
authored at least 36 papers
between 2011 and 2024.
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Bibliography
2024
CoRR, 2024
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis.
CoRR, 2024
CoRR, 2024
Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024
2023
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation.
CoRR, 2023
CoRR, 2023
Proceedings of the Medical Imaging with Deep Learning, 2023
Novel Structural-Scale Uncertainty Measures and Error Retention Curves: Application to Multiple Sclerosis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography.
NeuroImage, 2022
Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses.
NeuroImage, 2022
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues.
CoRR, 2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
NeuroImage, 2021
Resolving bundle-specific intra-axonal <i>T</i><sub>2</sub> values within a voxel using diffusion-relaxation tract-based estimation.
NeuroImage, 2021
Medical Image Anal., 2021
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients.
Comput. Biol. Medicine, 2021
Enhancing Reliability Of Structural Brain Connectivity With Outlier Adjusted Tractogram Filtering.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2018
Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI.
NeuroImage, 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
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018
2017
Segmentation of Cortical and Subcortical Multiple Sclerosis Lesions Based on Constrained Partial Volume Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
IEEE Trans. Medical Imaging, 2016
Medical Image Anal., 2016
Ensemble average propagator-based detection of microstructural alterations after stroke.
Int. J. Comput. Assist. Radiol. Surg., 2016
Infinite feature selection on shore-based biomarkers reveals connectivity modulation after stroke.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Quantitative Analysis of Myelin and Axonal Remodeling in the Uninjured Motor Network After Stroke.
Brain Connect., 2015
Assessment of Mean Apparent Propagator-Based Indices as Biomarkers of Axonal Remodeling after Stroke.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014
Microstructural Description of Cerebral Tissues from Diffusion Spectrum Imaging Data.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014
2012
2011
Proceedings of the 18th IEEE International Conference on Image Processing, 2011