Citation Impact
Citing Papers
Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study
2016
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
2021
Designing deep learning studies in cancer diagnostics
2021
Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology
2017 Standout
Deep learning in histopathology: the path to the clinic
2021 Standout
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
2021
6G Internet of Things: A Comprehensive Survey
2021 Standout
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
A survey on deep learning in medicine: Why, how and when?
2020
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Works of Diego Palumbo being referenced
Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients
2020
Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI
2011
Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study
2020