Diana Maria Sima
Orcid: 0000-0002-0118-2905
According to our database1,
Diana Maria Sima
authored at least 37 papers
between 2006 and 2024.
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Bibliography
2024
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge.
CoRR, 2024
2023
Factorizer: A scalable interpretable approach to context modeling for medical image segmentation.
Medical Image Anal., 2023
2022
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022
2021
AIFNet: Automatic vascular function estimation for perfusion analysis using deep learning.
Medical Image Anal., 2021
Comparison of different automatic solutions for resection cavity segmentation in postoperative MRI volumes including longitudinal acquisitions.
Proceedings of the Medical Imaging 2021: Image-Guided Procedures, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020
2019
Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging.
IEEE Trans. Biomed. Eng., 2019
Sensorimotor cortex neurometabolite levels as correlate of motor performance in normal aging: evidence from a <sup>1</sup>H-MRS study.
NeuroImage, 2019
High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T.
NeuroImage, 2019
Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors.
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019
Improved Inter-scanner MS Lesion Segmentation by Adversarial Training on Longitudinal Data.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019
2017
Nonnegative Canonical Polyadic Decomposition for Tissue-Type Differentiation in Gliomas.
IEEE J. Biomed. Health Informatics, 2017
An advanced MRI and MRSI data fusion scheme for enhancing unsupervised brain tumor differentiation.
Comput. Biol. Medicine, 2017
Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization.
BMC Medical Imaging, 2017
Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017
A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017
Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017
2016
SIAM J. Matrix Anal. Appl., 2016
A Semi-Automated Segmentation Framework for MRI Based Brain Tumor Segmentation Using Regularized Nonnegative Matrix Factorization.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016
Proceedings of the Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Canonical polyadic decomposition for tissue type differentiation using multi-parametric MRI in high-grade gliomas.
Proceedings of the 24th European Signal Processing Conference, 2016
Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
IEEE Trans. Biomed. Eng., 2015
Tensor based tumor tissue type differentiation using magnetic resonance spectroscopic imaging.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2013
2012
Simulation Study of Tissue Type Differentiation using Non-negative Matrix Factorization.
Proceedings of the BIOSIGNALS 2012, 2012
Tissue Type Differentiation for Brain Glioma using Non-negative Matrix Factorization.
Proceedings of the BIOSIGNALS 2012, 2012
2011
The Total Least Squares Problem in <i>A</i><i>X</i> ≈ <i>B</i>: A New Classification with the Relationship to the Classical Works.
SIAM J. Matrix Anal. Appl., 2011
Damping Factor Constraints and Metabolite Profile Selection Influence Magnetic Resonance Spectroscopy Data Quantification.
Proceedings of the BIOSIGNALS 2011, 2011
2007
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Model order selection for quantification of a multi-exponential magnetic resonance spectrum.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006