Simone Appenzeller
Orcid: 0000-0001-5075-4474
According to our database1,
Simone Appenzeller
authored at least 25 papers
between 2006 and 2025.
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Bibliography
2025
H-SynEx: Using synthetic images and ultra-high resolution ex vivo MRI for hypothalamus subregion segmentation.
Artif. Intell. Medicine, 2025
2024
High-resolution segmentations of the hypothalamus and its subregions for training of segmentation models.
CoRR, 2024
Training a Vision Transformer Model on Shape Signatures for Quality Control of MRI Corpus Callosum Segmentations.
Proceedings of the 20th International Symposium on Medical Information Processing and Analysis, 2024
Proceedings of the Computational Diffusion MRI - 15th International Workshop, 2024
2023
DTI-based Corpus Callosum parcellation using the Tensorial Morphological Gradient and Self-Organizing Maps.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023
Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023
2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
2021
inCCsight: A software for exploration and visualization of DT-MRI data of the Corpus Callosum.
Comput. Graph., 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Open-source toolbox for analysis and spectra quality control of magnetic resonance spectroscopic imaging.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
2019
Brain Extraction Network Trained with "Silver Standard" Data and Fine-Tuned with Manual Annotation for Improved Segmentation.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019
Improving estimates of brain metabolite concentrations in MR spectroscopic imaging (MRSI) through MRI content.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
2018
An open, multi-vendor, multi-field-strength brain MR dataset and analysis of publicly available skull stripping methods agreement.
NeuroImage, 2018
Computational methods for corpus callosum segmentation on MRI: A systematic literature review.
Comput. Methods Programs Biomed., 2018
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018
Reliability of using single specialist annotation for designing and evaluating automatic segmentation methods: A skull stripping case study.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018
2017
IEEE Access, 2017
2015
Mid-callosal plane determination using preferred directions from diffusion tensor images.
Proceedings of the Medical Imaging 2015: Biomedical Applications in Molecular, 2015
2013
Analysis of Scalar Maps for the Segmentation of the Corpus Callosum in Diffusion Tensor Fields.
J. Math. Imaging Vis., 2013
Analysis of brain white matter hyperintensities using pattern recognition techniques.
Proceedings of the Medical Imaging 2013: Image Processing, 2013
2012
Proceedings of the Medical Imaging 2012: Image Processing, 2012
2011
Watershed-Based Segmentation of the Midsagittal Section of the Corpus Callosum in Diffusion MRI.
Proceedings of the 24th SIBGRAPI Conference on Graphics, 2011
2009
Segmentation of Brain Structures by Watershed Transform on Tensorial Morphological Gradient of Diffusion Tensor Imaging.
Proceedings of the SIBGRAPI 2009, 2009
2007
Longitudinal analysis of gray and white matter loss in patients with systemic lupus erythematosus.
NeuroImage, 2007
2006
NeuroImage, 2006