Luciano M. Prevedello
Orcid: 0000-0002-6768-6452
According to our database1,
Luciano M. Prevedello
authored at least 19 papers
between 2010 and 2023.
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Bibliography
2023
Detecting and Characterizing Inferior Vena Cava Filters on Abdominal Computed Tomography with Data-Driven Computational Frameworks.
J. Digit. Imaging, December, 2023
Prediction of model generalizability for unseen data: Methodology and case study in brain metastases detection in T1-Weighted contrast-enhanced 3D MRI.
Comput. Biol. Medicine, June, 2023
2022
Virtual CT Myelography: A Patch-Based Machine Learning Model to Improve Intraspinal Soft Tissue Visualization on Unenhanced Dual-Energy Lumbar Spine CT.
Inf., 2022
Augmented networks for faster brain metastases detection in T1-weighted contrast-enhanced 3D MRI.
Comput. Medical Imaging Graph., 2022
2021
Artificial Intelligence to Assist in Exclusion of Coronary Atherosclerosis During CCTA Evaluation of Chest Pain in the Emergency Department: Preparing an Application for Real-world Use.
J. Digit. Imaging, 2021
Advancing Brain Metastases Detection in T1-Weighted Contrast-Enhanced 3D MRI using Noisy Student-based Training.
CoRR, 2021
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR, 2021
Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021
2020
Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI.
IEEE J. Biomed. Health Informatics, 2020
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning.
J. Digit. Imaging, 2020
Deep Learning-Based Automatic Detection of Poorly Positioned Mammograms to Minimize Patient Return Visits for Repeat Imaging: A Real-World Application.
CoRR, 2020
Predicting Rate of Cognitive Decline at Baseline Using a Deep Neural Network with Multidata Analysis.
CoRR, 2020
Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network.
Comput. Medical Imaging Graph., 2020
Using Transfer Learning and Class Activation Maps Supporting Detection and Localization of Femoral Fractures on Anteroposterior Radiographs.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
Coronary Artery Classification and Weakly Supervised Abnormality Localization on Coronary CT Angiography with 3-Dimensional Convolutional Neural Networks.
CoRR, 2019
Are Quantitative Features of Lung Nodules Reproducible at Different CT Acquisition and Reconstruction Parameters?
CoRR, 2019
2018
2012
J. Digit. Imaging, 2012
2010
Business Intelligence Tools for Radiology: Creating a Prototype Model Using Open-Source Tools.
J. Digit. Imaging, 2010