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Author Details
Full Name
Felipe C Kitamura
Affiliation
Universidade Federal de Sao Paulo
ORCID
Career Start Year
2016
Papers
28
H Index
13
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36604467
Head CT deep learning model is highly accurate for early infarct estimation.
Sci Rep
2023
37795143
The RSNA Cervical Spine Fracture CT Dataset.
Radiol Artif Intell
2023
37407841
Reproducibility of Deep Learning Algorithms Developed for Medical Imaging Analysis: A Systematic Review.
J Digit Imaging
2023
34842954
Editorial Comment: Cost-effectiveness of brain MRI in stroke emergency patients.
Eur Radiol
2022
35866818
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.
Medicine (Baltimore)
2022
33442676
Federated Learning used for predicting outcomes in SARS-COV-2 patients.
Res Sq
2021
33854271
The quest for reproducibility.
Radiol Bras
2021
33514852
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT.
NPJ Digit Med
2021
33676912
Trustworthiness of Artificial Intelligence Models in Radiology and the Role of Explainability.
J Am Coll Radiol
2021
33524039
Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil.
PLoS One
2021
34526699
Federated learning for predicting clinical outcomes in patients with COVID-19.
Nat Med
2021
34689869
Clinical Artificial Intelligence Applications in Radiology: Neuro.
Radiol Clin North Am
2021
34350414
Natural Language Processing of Radiology Text Reports: Interactive Text Classification.
Radiol Artif Intell
2021
34350408
A Deep Learning-based Model for Detecting Abnormalities on Brain MR Images for Triaging: Preliminary Results from a Multisite Experience.
Radiol Artif Intell
2021
34075194
Automated coronary calcium scoring using deep learning with multicenter external validation.
NPJ Digit Med
2021
33937862
The RSNA Pulmonary Embolism CT Dataset.
Radiol Artif Intell
2021
33937854
Magician's Corner: 8: How to Connect an Artificial Intelligence Tool to PACS.
Radiol Artif Intell
2021
34136815
Magician's Corner: 9. Performance Metrics for Machine Learning Models.
Radiol Artif Intell
2021
33399506
The RSNA International COVID-19 Open Radiology Database (RICORD).
Radiology
2021
32995811
Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19.
medRxiv
2020
33778590
Regarding "Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach".
Radiol Cardiothorac Imaging
2020
33939782
Erratum: Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
Radiol Artif Intell
2020
33937836
Reproducible Artificial Intelligence Research Requires Open Communication of Complete Source Code.
Radiol Artif Intell
2020
33937827
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge.
Radiol Artif Intell
2020
33937816
Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology.
Radiol Artif Intell
2020
31950302
Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets.
J Digit Imaging
2020
30480490
The RSNA Pediatric Bone Age Machine Learning Challenge.
Radiology
2019
27034831
Diffusion-Weighted Imaging with Color-Coded Images: Towards a Reduction in Reading Time While Keeping a Similar Accuracy.
Radiol Res Pract
2016
1 - 28 of 28
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