Istituto Oncologico Veneto

Efficiently train and validate a RapidPlan model through <scp>APQM</scp> scoring

M. Fusella, A. Scaggion, N. Pivato et al.

2018 · 42 Zit.

Plan quality assessment in clinical practice: Results of the 2020 ESTRO survey on plan complexity and robustness

Laura Patricia Kaplan, Lorenzo Placidi, Anna Bäck et al.

2022 · 35 Zit.

Updating a clinical Knowledge-Based Planning prediction model for prostate radiotherapy

A. Scaggion, M. Fusella, Samuele Cavinato et al.

2023 · 19 Zit.

Can AI serve as an independent second reader of mammograms? a simulation study

Alejandro Rodríguez‐Ruiz, Kristina Lång, Albert Gubern‐Mérida et al.

2020 · 8 Zit.

Enhancing patient-centered care with AI: a study of responses to neuroendocrine neoplasms queries

Francesco Panzuto, Alessandro Gallo, Marco Marini et al.

2025 · 6 Zit.

An Exploration of Discrepant Recalls Between AI and Human Readers of Malignant Lesions in Digital Mammography Screening

Suzanne L. van Winkel, Ioannis Sechopoulos, Alejandro Rodríguez‐Ruiz et al.

2025 · 3 Zit.

Robust radiomics: a review of guidelines for radiomics in medical imaging

Michele Avanzo, P. Soda, Marco Bertolini et al.

2026 · 2 Zit.

725O Leveraging artificial intelligence to predict immune checkpoint inhibitor (ICI) efficacy in proficient MMR mCRC: Translational analyses of AtezoTRIBE and AVETRIC trials

Martina Carullo, C. Antoniotti, Chul‐Soo Ahn et al.

2025 · 2 Zit.

[OA145] Impact of tracer activity reduction on PET radiomic features in pediatric 18F-FDG-PET/MRI examinations

M. Branchini, Alessandra Zorz, L. Riccardi et al.

2018 · 0 Zit.

P17.39.A IMPACT OF FRAILTY ON SURGICAL OUTCOMES IN PATIENTS AFFECTED BY GLIOBLASTOMA: A MULTICENTER ANALYSIS WITH MULTIVARIATE AND MACHINE LEARNING APPROACHES.

Maria Caffo, Luana Conte, G Caruso et al.

2025 · 0 Zit.

Overcoming the Inoperability Barrier in Frail Patients affected by Glioblastoma: A Multivariate and Machine Learning analysis

Luana Conte, Donato Cascio, Tamara Ius et al.

2025 · 0 Zit.

Prototyping a precision oncology 3.0 rapid learning platform

Connor Sweetnam, Simone Mocellin, Michael Krauthammer et al.

2017 · 0 Zit.