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Disambiguation of "Russo, Giorgio"

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A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans.

, , , , , , , , , , and . Comp. in Bio. and Med., (2019)

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Univ. -Prof. Dr. -Ing. Giorgio Cattaneo University of Stuttgart

 

Other publications of authors with the same name

A Semi-automatic Multi-seed Region-Growing Approach for Uterine Fibroids Segmentation in MRgFUS Treatment., , , , , , and . CISIS, page 176-182. IEEE Computer Society, (2013)A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans., , , , , , , , , and 1 other author(s). Comp. in Bio. and Med., (2019)A smart and operator independent system to delineate tumours in Positron Emission Tomography scans., , , , , , , and . Comp. in Bio. and Med., (2018)Neuro-Radiosurgery Treatments: MRI Brain Tumor Seeded Image Segmentation Based on a Cellular Automata Model., , , , , , , , and . ACRI, volume 9863 of Lecture Notes in Computer Science, page 323-333. Springer, (2016)An Automatic Method for Metabolic Evaluation of Gamma Knife Treatments., , , , , , , , , and 2 other author(s). ICIAP (1), volume 9279 of Lecture Notes in Computer Science, page 579-589. Springer, (2015)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)A novel framework for MR image segmentation and quantification by using MedGA., , , , , , , , , and . Computer Methods and Programs in Biomedicine, (2019)GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model., , , , , and . Natural Computing, 17 (3): 521-536 (2018)A Graph-Based Method for PET Image Segmentation in Radiotherapy Planning: A Pilot Study., , , , , , , , and . ICIAP (2), volume 8157 of Lecture Notes in Computer Science, page 711-720. Springer, (2013)NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique., , , , , , and . Int. J. Imaging Systems and Technology, 28 (1): 21-37 (2018)