( en | de | ru )

 

Disambiguation of "Sima, Diana Maria"

Author of the publication

copydeleteadd this publication to your clipboard
Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging.

, , , , , and . IEEE Trans. Biomed. Eng., 66 (2): 584-594 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Mahmud Dianati

Marco Alberto Diana

Arezoo Dianat

Francesca Diana

Eva-Maria Sima-Meyer

 

Other publications of authors with the same name

Simulation Study of Tissue Type Differentiation using Non-negative Matrix Factorization., , , , , and . BIOSIGNALS, page 212-217. SciTePress, (2012)Tensor-Based Method for Residual Water Suppression in $^1$H Magnetic Resonance Spectroscopic Imaging., , , , , and . IEEE Trans. Biomed. Eng., 66 (2): 584-594 (2019)Improved inter-scanner MS lesion segmentation by adversarial training on longitudinal data., , , and . CoRR, (2020)Corrections to Ünsupervised Nosologic Imaging for Glioma Diagnosis"., , , , , , , and . IEEE Trans. Biomed. Eng., 62 (8): 2091 (2015)Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features., , , , , , and . ESANN, (2017)Patch based super-resolution of MR spectroscopic images., , , , , , and . ISBI, page 452-456. IEEE, (2016)A Comparison of Machine Learning Approaches for Classifying Multiple Sclerosis Courses Using MRSI and Brain Segmentations., , , , , , and . ICANN (2), volume 10614 of Lecture Notes in Computer Science, page 643-651. Springer, (2017)Tumor Segmentation from Multimodal MRI Using Random Forest with Superpixel and Tensor Based Feature Extraction., , , and . BrainLes@MICCAI, volume 10670 of Lecture Notes in Computer Science, page 463-473. Springer, (2017)An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI., , , , , and . ISBI, page 1196-1200. IEEE, (2021)Unsupervised 3D Brain Anomaly Detection., , , , and . BrainLes@MICCAI (1), volume 12658 of Lecture Notes in Computer Science, page 133-142. Springer, (2020)