Luciano Prevedello

Ohio State University

United States

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Articles (20)

Collaborators (5)

Jayashree Kalpathy-Cramer

University of Colorado School of Medicine

UNITED STATES

Linda Moy

New York University

UNITED STATES

Savvas Nicolaou

University of British Columbia Faculty of Medicine

Tyler Richards

Assistant Professor of Neuroradiology

University of Utah Hospital

UNITED STATES

Daniel Prevedello

Ohio State University

UNITED STATES

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Luciano Prevedello

Research Interests

Explore related searches

Contact this professor

Articles (20)

Collaborators (5)

Jayashree Kalpathy-Cramer

Linda Moy

Savvas Nicolaou

Tyler Richards

Daniel Prevedello

Make your next move.

Luciano Prevedello

Research Interests

Explore related searches

Contact this professor

Articles (20)

Texts Are More than Notes, They Are Data: A Glimpse into How Machines Understand Text

External Validation of a Winning Artificial Intelligence Algorithm from the RSNA 2022 Cervical Spine Fracture Detection Challenge

RSNA 2023 Abdominal Trauma AI Challenge: Review and Outcomes

Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts

Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges

Real-time intraoperative ultrasound imaging of the posterior pituitary gland during endoscopic endonasal approach

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.

Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center

Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence

Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection Challenge

The RSNA Cervical Spine Fracture CT Dataset

Artificial Intelligence in Neuroradiology: A Review of Current Topics and Competition Challenges

Prediction of model generalizability for unseen data: Methodology and case study in brain metastases detection in T1-Weighted contrast-enhanced 3D MRI

An Artificial Intelligence Tool for Clinical Decision Support and Protocol Selection for Brain MRI

Intraoperative Prediction of Long-Term Remission in Acromegaly

Pituitary Stalk Stretch Predicts Postoperative Diabetes Insipidus After Pituitary Macroadenoma Transsphenoidal Resection

Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT

Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI Using Noisy Student-Based Training

Mortality Prediction Analysis among COVID-19 Inpatients Using Clinical Variables and Deep Learning Chest Radiography Imaging Features

Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI

Collaborators (5)

Jayashree Kalpathy-Cramer

Linda Moy

Savvas Nicolaou

Tyler Richards

Daniel Prevedello

Make your next move.