Giorgio Russo
Orcid: 0000-0003-1493-1087
According to our database1,
Giorgio Russo
authored at least 42 papers
between 2013 and 2024.
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Bibliography
2024
Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging.
J. Imaging, April, 2024
2023
Radiomics Analyses to Predict Histopathology in Patients with Metastatic Testicular Germ Cell Tumors before Post-Chemotherapy Retroperitoneal Lymph Node Dissection.
J. Imaging, 2023
Spread-Out Bragg Peak in Treatment Planning System by Mixed Integer Linear Programming: a Proof of Concept.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
matRadiomics: A Novel and Complete Radiomics Framework, from Image Visualization to Predictive Model.
J. Imaging, 2022
A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models.
J. Imaging, 2022
Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering.
Biomed. Signal Process. Control., 2022
matRadiomics: From Biomedical Image Visualization to Predictive Model Implementation.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
MRI-Based Radiomics Analysis for Identification of Features Correlated with the Expanded Disability Status Scale of Multiple Sclerosis Patients.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
PET Images Atlas-Based Segmentation Performed in Native and in Template Space: A Radiomics Repeatability Study in Mouse Models.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022
2021
A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical Probes.
J. Imaging, 2021
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
2020
MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation.
Symmetry, 2020
Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies.
J. Imaging, 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
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020
2019
Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis.
Proceedings of the Quantifying and Processing Biomedical and Behavioral Signals, 2019
Eng. Appl. Artif. Intell., 2019
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
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019
2018
Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm.
Proceedings of the Multidisciplinary Approaches to Neural Computing, 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
Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 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
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015
2014
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