Luigi T. Luppino
Oslo, Norway
Last Updated: 09/26/2026
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Found 8 publications
Radiomics-based mapping of glioblastoma infiltration beyond contrast enhancement: diffusion-perfusion correlations and survival analysis in large public cohorts.
Journal: European journal of radiology
Published: December 21, 2025
Prospective biopsy-controlled validation of an AI model for predicting glioblastoma infiltration: Results from the SupraGlio trial.
Journal: Neuro-oncology
Published: December 13, 2025
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging.
Journal: EJNMMI research
Published: November 05, 2025
Radiomics-based quantification of tumor infiltration in the non-enhancing peritumoral region on postoperative MRI is associated with survival in glioblastoma.
Journal: Scientific reports
Published: June 09, 2025
Deep learning-based postoperative glioblastoma segmentation and extent of resection evaluation: Development, external validation, and model comparison.
Journal: Neuro-oncology advances
Published: December 11, 2024
Deep-learning-derived input function in dynamic [18F]FDG PET imaging of mice.
Journal: Frontiers in nuclear medicine
Published: January 17, 2024
Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI.
Journal: Cancers
Published: February 16, 2023
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.
Journal: IEEE transactions on neural networks and learning systems
Published: May 13, 2022
Showing 1-8 of 8
Last Updated: 09/26/2026