Giorgio Russo

According to our database1, Giorgio Russo authored at least 27 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation.
Symmetry, 2020

A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration.
Fundam. Informaticae, 2020

Development of a new fully three-dimensional methodology for tumours delineation in functional images.
Comput. Biol. Medicine, 2020

A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method.
BMC Bioinform., 2020

Radiomics: A New Biomedical Workflow to Create a Predictive Model.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

2019
K-nearest neighbor driving active contours to delineate biological tumor volumes.
Eng. Appl. Artif. Intell., 2019

A novel framework for MR image segmentation and quantification by using MedGA.
Comput. Methods Programs Biomed., 2019

A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans.
Comput. Biol. Medicine, 2019

Active contour algorithm with discriminant analysis for delineating tumors in positron emission tomography.
Artif. Intell. Medicine, 2019

Tissue Classification to Support Local Active Delineation of Brain Tumors.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2018
GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model.
Nat. Comput., 2018

NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique.
Int. J. Imaging Syst. Technol., 2018

A smart and operator independent system to delineate tumours in Positron Emission Tomography scans.
Comput. Biol. Medicine, 2018

2017
An enhanced random walk algorithm for delineation of head and neck cancers in PET studies.
Medical Biol. Eng. Comput., 2017

Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging.
Inf., 2017

A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning.
Comput. Methods Programs Biomed., 2017

2016
Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments.
Medical Biol. Eng. Comput., 2016

A fully automatic method for biological target volume segmentation of brain metastases.
Int. J. Imaging Syst. Technol., 2016

Neuro-Radiosurgery Treatments: MRI Brain Tumor Seeded Image Segmentation Based on a Cellular Automata Model.
Proceedings of the Cellular Automata, 2016

2015
Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering.
Int. J. Imaging Syst. Technol., 2015

A GEANT4 web-based application to support Intra-Operative Electron Radiotherapy using the European grid infrastructure.
Concurr. Comput. Pract. Exp., 2015

A fully automatic 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation.
Comput. Biol. Medicine, 2015

An Automatic Method for Metabolic Evaluation of Gamma Knife Treatments.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

2014
Infrastructure Monitoring for Distributed Tier1: The ReCaS Project Use-Case.
Proceedings of the 2014 International Conference on Intelligent Networking and Collaborative Systems, 2014

2013
A GEANT4 Web-based Application to Support Intra-Operative Electron Radio-Therapy using the European Grid Infrastructure.
Proceedings of the 5th International Workshop on Science Gateways, 2013

A Graph-Based Method for PET Image Segmentation in Radiotherapy Planning: A Pilot Study.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

A Semi-automatic Multi-seed Region-Growing Approach for Uterine Fibroids Segmentation in MRgFUS Treatment.
Proceedings of the Seventh International Conference on Complex, 2013


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