CRESPI, LEONARDO

CRESPI, LEONARDO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

Mostra records
Risultati 1 - 17 di 17 (tempo di esecuzione: 0.016 secondi).
Titolo Data di pubblicazione Autori File
Are 3D better than 2D Convolutional Neural Networks for Medical Imaging Semantic Segmentation? 1-gen-2022 Crespi, LeonardoLoiacono, DanieleSartori, Pierandrea
Automatic planning of the lower extremities for total marrow irradiation using volumetric modulated arc therapy 1-gen-2023 Lambri, NicolaCrespi, LeonardoLoiacono, DanieleRusconi, Roberto +
Chest X-Rays Image Classification from $eta{-}$ Variational Autoencoders Latent Features 1-gen-2021 Crespi L.Loiacono D. +
Comparing Adversarial and Supervised Learning for Organs at Risk Segmentation in CT images 1-gen-2023 Crespi, LeonardoLoiacono, Daniele +
Deep learning and atlas-based models to streamline the segmentation workflow of total marrow and lymphoid irradiation 1-gen-2024 Lambri, NicolaCrespi, LeonardoBrioso, Ricardo CoimbraLoiacono, Daniele +
Deep learning‐based optimization of field geometry for total marrow irradiation delivered with volumetric modulated arc therapy 1-gen-2024 Lambri, NicolaLoiacono, DanieleBrioso, Ricardo CoimbraCrespi, Leonardo +
Enhancing Radiotherapy Workflow for Head and Neck Cancer with Artificial Intelligence: A Systematic Review 1-gen-2023 Lambri, NicolaCrespi, LeonardoLoiacono, Daniele +
Ensemble Methods for Multi-Organ Segmentation in CT series 1-gen-2023 Crespi, LeonardoLambri, NicolaLoiacono, Daniele +
Impact of the Extremities Positioning on the Set-Up Reproducibility for the Total Marrow Irradiation Treatment 1-gen-2023 Lambri, NicolaBrioso, Ricardo CoimbraCrespi, LeonardoLoiacono, DanieleRusconi, Roberto +
Internal Guidelines for Reducing Lymph Node Contour Variability in Total Marrow and Lymph Node Irradiation 1-gen-2023 Lambri, NicolaBrioso, Ricardo CoimbraCrespi, LeonardoLoiacono, Daniele +
Machine learning and lean six sigma for targeted patient-specific quality assurance of volumetric modulated arc therapy plans 1-gen-2024 Lambri, NicolaCrespi, LeonardoBrioso, Ricardo CoimbraLoiacono, Daniele +
MULTI-CENTER VALIDATION OF AN AUTOMATIC PLANNING TOOL FOR LOWER-EXTREMITIES TMI AND TBI 1-gen-2023 Lambri, N.Crespi, L.Loiacono, D. +
PD-0318 Combining Single-Organ Deep Learning Segmentation Models for Total Marrow Irradiation 1-gen-2022 Crespi, L.Lambri, N.Loiacono, D. +
PD-0582 Multicentric validation of an automatic planning tool for TMI and TBI lower-extremities using VMAT 1-gen-2023 Lambri, N.Crespi, L.Loiacono, D. +
PD-0903 Human validation of a Deep Learning MRI-based Synthetic CT for RT Planning 1-gen-2023 Crespi, L.Lambri, N.Loiacono, D. +
PO-1645 Deep learning and atlas-based approaches for Total Marrow and Lymphoid Irradiation segmentation 1-gen-2023 Lambri, N.Crespi, L.Loiacono, D. +
PO-2355 Internal guidelines to reduce lymph-node contour variability for total marrow/lymph node irradiation 1-gen-2023 Lambri, N.Crespi, L.Loiacono, D. +