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Papers authored by Felipe C. Kitamura

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2022 Matthew D. Li

ORCID

, Nishanth T. Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P. Little, Dexter P. Mendoza, Gustavo C. A. Corradi, Marcelo S. Takahashi, Suely F. Ferraciolli, Marc D. Succi, Min Lang, Bernardo C. Bizzo, Ittai Dayan, Felipe C. Kitamura

ORCID

and 1 other authors

Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19

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D. Wu, E. Orru’, S. Ferraciolli, A. Ashok, A. Sorby-Adams, M. Guindy, D. Montes, A. Medina, G. Bianco, J. Kaggie, D. Rabina, O. Ashush, X. Han, Y. Baror, M. Patel and 8 other authors

E-107 Multi-center study of a deep learning model for intracranial aneurysm detection in computed tomography angiography

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Felipe C. Kitamura

ORCID

, Ian Pan

ORCID

Artificial Intelligence Class Activation Mapping of Bone Age

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João Pedro Mazuco Rodriguez, Rubens Rodriguez, Vitor Werneck Krauss Silva, Felipe Campos Kitamura

ORCID

, Gustavo Cesar Antônio Corradi, Ana Carolina Bertoletti de Marchi, Rafael Rieder

Artificial intelligence as a tool for diagnosis in digital pathology whole slide images: A systematic review

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T. L. Kline, F. Kitamura

ORCID

, I. Pan, A. M. Korchi, N. Tenenholtz, L. Moy, J. W. Gichoya, I. Santos, S. Blumer, M. Y. Hwang, K.-A. Git, A. Shroff, J. Stember, E. Walach, G. Shih and 1 other authors

Best practices and scoring system on reviewing A.I.-based medical imaging papers: Part 1-Classification

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2021 Paulo Eduardo de Aguiar Kuriki, Felipe Campos Kitamura

ORCID

Editorial Comment: Cost-effectiveness of brain MRI in stroke emergency patients

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Ittai Dayan, Holger R. Roth

ORCID

ORCID

, Ahmed Harouni, Amilcare Gentili, Anas Z. Abidin

ORCID

, Andrew Liu, Anthony Beardsworth Costa

ORCID

, Bradford J. Wood

ORCID

, Chien-Sung Tsai, Chih-Hung Wang

ORCID

ORCID

, C. K. Lee, Peiying Ruan, Daguang Xu and 84 other authors

Federated learning for predicting clinical outcomes in patients with COVID-19

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Felipe C. Kitamura

ORCID

, Oge Marques

Trustworthiness of Artificial Intelligence Models in Radiology and the Role of Explainability

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Walter F. Wiggins

ORCID

, Felipe Kitamura

ORCID

ORCID

, Luciano M. Prevedello

ORCID

Natural Language Processing of Radiology Text Reports: Interactive Text Classification

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This paper is made freely available by the publisher.

David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar

ORCID

, Jin Long, Sam Shleifer, Mohamed H. Khalaf

ORCID

, Alexander T. Sandhu, Fatima Rodriguez

ORCID

, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew Budoff, Felipe Kitamura

ORCID

and 9 other authors

Automated coronary calcium scoring using deep learning with multicenter external validation

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Bradley J. Erickson

ORCID

, Felipe Kitamura

ORCID

Magician’s Corner: 9. Performance Metrics for Machine Learning Models

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Felipe Kitamura

ORCID

, Flávia Paiva Proença Lobo Lopes

ORCID

The quest for reproducibility

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Emily B. Tsai

ORCID

, Scott Simpson

ORCID

, Matthew P. Lungren

ORCID

, Michelle Hershman

ORCID

, Leonid Roshkovan

ORCID

ORCID

, Bradley J. Erickson

ORCID

ORCID

ORCID

, Jayashree Kalpathy-Cramer

ORCID

ORCID

ORCID

ORCID

, Prabhakar Rajiah

ORCID

, Brian P. Pogatchnik

ORCID

and 8 other authors

The RSNA International COVID-19 Open Radiology Database (RICORD)

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Errol Colak, Felipe C. Kitamura

ORCID

, Stephen B. Hobbs, Carol C. Wu, Matthew P. Lungren, Luciano M. Prevedello, Jayashree Kalpathy-Cramer, Robyn L. Ball, George Shih, Anouk Stein, Safwan S. Halabi, Emre Altinmakas, Meng Law, Parveen Kumar, Karam A. Manzalawi and 60 other authors

The RSNA Pulmonary Embolism CT Dataset

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Flávia Paiva Proença Lobo Lopes, Felipe Campos Kitamura

ORCID

, Paulo Eduardo de Aguiar Kuriki, Gustavo Faibischew Prado, Paulo Eduardo de Aguiar Kuriki, Marcio Ricardo Taveira Garcia And, Marcio Ricardo Taveira Garcia

Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil

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Edward H. Lee

ORCID

ORCID

ORCID

, Maryam Mohammadzadeh, Golnaz Houshmand

ORCID

, Nicholas Bevins, Felipe Kitamura

ORCID

, Emre Altinmakas, Eduardo Pontes Reis, Jae-Kwang Kim

ORCID

ORCID

ORCID

, Sadegh Moradian, Ali Mohammadzadeh, Hashem Sharifian and 14 other authors

Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CT

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This paper was not found in any repository; the policy of its publisher is unknown or unclear.

F. C. Kitamura

ORCID

, I. Pan, S. F. Ferraciolli, K. W. Yeom, N. Abdala

Clinical Artificial Intelligence Applications in Radiology: Neuro

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Ujjwal Baid, Satyam Ghodasara, Suyash Mohan, Michel Bilello, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, F. C. Kitamura

ORCID

, Sarthak Pati, Luciano M. Prevedello, L. M. Prevedello, Rudie, Jeffrey D. Rudie and 124 other authors

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification

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Bradley J. Erickson

ORCID

, Felipe Kitamura

ORCID

Magician’s Corner: 8: How to Connect an Artificial Intelligence Tool to PACS

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