Renato Cuocolo

Associate Professor

University of Salerno

Italy

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do I reach out?

Meet Kite AI

Contact this professor

Send an email LinkedIn ORCID

Google Scholar

Academic Page

Research Interests

Radiology

100%

Medical Imaging

100%

Radiomics

60%

Tissue Imaging

50%

Magnetic Resonance Imaging

50%

Neuroradiology

40%

Radiobiology

40%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles20

Development and Validation of an Explainable Radiomics Model to Predict High-Aggressive Prostate Cancer: A Multicenter Radiomics Study Based on Biparametric MRI

Article Link

Year:

2024

Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS tools

Article Link

Year:

2024

Evaluation of AI-assisted medical image reconstruction: More than meets the eye?

Article Link

Year:

2024

Exploring radiomics research quality scoring tools: a comparative analysis of METRICS and RQS

Article Link

Year:

2024

The quest for open datasets: all that glitters is not gold

Article Link

Year:

2024

Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Article Link

Year:

2024

Executive Functions Assessment Based on Wireless EEG and 3D Gait Analysis During Dual-Task: A Feasibility Study

Article Link

Year:

2024

MRI Quantitative Evaluation of Muscle Fatty Infiltration

Article Link

Year:

2023

Dissemination of endometrial cancer MRI staging guidelines among young radiologists: an ESUR Junior Network survey

Article Link

Year:

2023

Generalizability of prostate MRI deep learning: does one size fit all data?

Article Link

Year:

2023

Prediction of 2-[18F]FDG PET-CT SUVmax for Adrenal Mass Characterization: A CT Radiomics Feasibility Study

Article Link

Year:

2023

Assessment of RadiomIcS rEsearch (ARISE): a brief guide for authors, reviewers, and readers from the Scientific Editorial Board of European Radiology

Article Link

Year:

2023

Trends and statistics of artificial intelligence and radiomics research in Radiology, Nuclear Medicine, and Medical Imaging: bibliometric analysis

Article Link

Year:

2023

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Article Link

Year:

2023

MRI Radiomics and Machine Learning for the Prediction of Oncotype Dx Recurrence Score in Invasive Breast Cancer

Article Link

Year:

2023

Radiomics Applications in Head and Neck Tumor Imaging: A Narrative Review

Article Link

Year:

2023

CT Coronary Angiography: Technical Approach and Atherosclerotic Plaque Characterization

Article Link

Year:

2023

Artificial Intelligence and Radiomics for Endometrial Cancer MRI: Exploring the Whats, Whys and Hows

Article Link

Year:

2023

Radiology under siege? Adversarial attacks against deep learning algorithms

Article Link

Year:

2023

Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges

Article Link

Year:

2022

Collaborators12

Linda Chu

Associate Professor

Johns Hopkins University School of Medicine

UNITED STATES

Valentina Giannini

University of Turin

ITALY

Valeria Romeo

ITALY

Henning Müller

Professor

HES-SO

SWITZERLAND

Paolo De Blasiis

University of Campania “Luigi Vanvitelli”

ITALY

Lena Maier-Hein

Head of department

German Cancer Research Center (DKFZ)

GERMANY

Simone Maurea

Associate Professor

Università degli Studi di Napoli Federico II

ITALY

Massimo Imbriaco

University of Naples Federico II

ITALY

marcello zappia

University of Molise

ITALY

Alberto Cuocolo

ITALY

Arturo Brunetti

Full Professor, Diagnostic Imaging

Università degli Studi di Napoli Federico II

ITALY

Spyridon Bakas

Kingston University

UNITED KINGDOM

How do I reach out?

Meet Kite AI