Albert Comelli

Orcid: 0000-0002-9290-6103

According to our database1, Albert Comelli authored at least 34 papers between 2015 and 2023.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2023
Radiomics Analyses to Predict Histopathology in Patients with Metastatic Testicular Germ Cell Tumors before Post-Chemotherapy Retroperitoneal Lymph Node Dissection.
J. Imaging, 2023

Grading and Staging of Bladder Tumors Using Radiomics Analysis in Magnetic Resonance Imaging.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 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

Assessing High-Order Interdependencies Through Static O-Information Measures Computed on Resting State fMRI Intrinsic Component Networks.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Automatic Liver Segmentation in Pre-TIPS Cirrhotic Patients: A Preliminary Step for Radiomics Studies.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Place Cell's Computational Model.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Unsupervised Brain Segmentation System Using K-Means and Neural Network.
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

Radiomics Analyses of Schwannomas in the Head and Neck: A Preliminary Analysis.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

A Predictive System to Classify Preoperative Grading of Rectal Cancer Using Radiomics Features.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Robustness of Radiomics Features to Varying Segmentation Algorithms in Magnetic Resonance Images.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

Combining Convolutional Neural Networks and Anatomical Shape-Based Priors for Cardiac Segmentation.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021
Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images.
J. Imaging, 2021

Radiomics and Prostate MRI: Current Role and Future Applications.
J. Imaging, 2021

A Radioactive-Free Method for the Thorough Analysis of the Kinetics of Cell Cytotoxicity.
J. Imaging, 2021

2020
IMAGE PROCESSING, SEGMENTATION AND MACHINE LEARNING MODELS TO CLASSIFY AND DELINEATE TUMOR VOLUMES TO SUPPORT MEDICAL DECISION.
PhD thesis, 2020

Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies.
J. Imaging, 2020

Fully 3D Active Surface with Machine Learning for PET Image Segmentation.
J. Imaging, 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

Active Surface for Fully 3D Automatic Segmentation.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

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

A Fully Automated Segmentation System of Positron Emission Tomography Studies.
Proceedings of the Medical Image Understanding and Analysis - 23rd Conference, 2019

2018
OpenHVSR - Processing toolkit: Enhanced HVSR processing of distributed microtremor measurements and spatial variation of their informative content.
Comput. Geosci., 2018

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

2017
Automatic Multi-seed Detection for MR Breast Image Segmentation.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

A Kernel Support Vector Machine Based Technique for Crohn's Disease Classification in Human Patients.
Proceedings of the Complex, Intelligent, and Software Intensive Systems, 2017

2016
Feature Dimensionality Reduction for Mammographic Report Classification.
Proceedings of the Resource Management for Big Data Platforms, 2016

Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis.
Int. J. Imaging Syst. Technol., 2016

2015
An ontology-based retrieval system for mammographic reports.
Proceedings of the 2015 IEEE Symposium on Computers and Communication, 2015


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