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Disambiguation of "Gilardi, Maria Carla"

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A Semi-automatic Multi-seed Region-Growing Approach for Uterine Fibroids Segmentation in MRgFUS Treatment.

, , , , , , and . CISIS, page 176-182. IEEE Computer Society, (2013)

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Carla Maria Scagnetti Goyarzu University of Stuttgart

Claudia Marianowski University of Stuttgart

apl. Prof. Dr. Maria Fyta University of Stuttgart

Maria Papadimitraki University of Stuttgart

Maria Hammer University of Stuttgart

 

Other publications of authors with the same name

Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering., , , , , , , , , and . Int. J. Imaging Systems and Technology, 25 (3): 213-225 (2015)A fully automatic method for biological target volume segmentation of brain metastases., , , , , , , , , and 1 other author(s). Int. J. Imaging Systems and Technology, 26 (1): 29-37 (2016)Computerized Neuropsychological Assessment in Aging: Testing Efficacy and Clinical Ecology of Different Interfaces., , , , , , and . Comp. Math. Methods in Medicine, (2014)Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments., , , , , , and . Med. Biol. Engineering and Computing, 54 (7): 1071-1084 (2016)A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation., , , , , and . Comp. in Bio. and Med., (2015)A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning., , , , , , , , , and 1 other author(s). Computer Methods and Programs in Biomedicine, (2017)A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration., , , , , and . Fundam. Inform., 171 (1-4): 345-365 (2020)Early Diagnosis of Alzheimer's Disease Using a Grid Implementation of Statistical Parametric Mapping Analysis., , , , , , , , , and 1 other author(s). HealthGrid, volume 120 of Studies in Health Technology and Informatics, page 69-81. IOS Press, (2006)Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging., , , , , , and . Information, 8 (2): 49 (2017)USE-Net: incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets., , , , , , , , , and 5 other author(s). CoRR, (2019)