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Research Article

Diffusion-Weighted Imaging with Color-Coded Images: Towards a Reduction in Reading Time While Keeping a Similar Accuracy

Felipe Kitamura; Srhael de Medeiros Alves; Luís Antônio Tobaru Tibana; Nitamar Abdala

Research Article

The RSNA Pediatric Bone Age Machine Learning Challenge

Safwan S. Halabi; Luciano M. Prevedello; Jayashree Kalpathy–Cramer; Artem B. Mamonov; Alexander Bilbily; Mark Cicero; Ian Pan; Lucas Pereira; Rafael T. Sousa; Nitamar Abdala; Felipe Kitamura; Hans Henrik Thodberg; Leon Chen; George Shih; Katherine P. Andriole; Marc Kohli; Bradley J. Erickson; Adam E. Flanders

Research Article

The Type III Secretion System (T3SS)-Translocon of Atypical Enteropathogenic Escherichia coli (aEPEC) Can Mediate Adherence

Fernanda Fernandes Santos; Denise Yamamoto; Cecília M. Abe; Jack A. Bryant; Rodrigo T. Hernandes; Felipe Kitamura; Felipe S. Castro; Tiago Barcelos Valiatti; Roxane Maria Fontes Piazza; Waldir P. Elias; Ian R. Henderson; Tânia A. T. Gomes

Abstract

Abstract WP68: Interpretable Deep Learning-based Characterization of Intracranial Hemorrhage on Head CT

Bernardo C. Bizzo; Behrooz Hashemian; Troy McNitt; M. Travis Caton; Walter F. Wiggins; James Hillis; Neil Tenenholtz; Felipe Kitamura; Gilberto Gonzalez; Mark Michalski; Katherine P. Andriole; Stuart R. Pomerantz

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Research Article

Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets

Romane Gauriau; Christopher P. Bridge; Lina Chen; Felipe Kitamura; Neil Tenenholtz; John E. Kirsch; Katherine P. Andriole; Mark Michalski; Bernardo C. Bizzo

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Letter

Methodologic Assessment of a Deep Learning Approach Measuring Lung Opacification in COVID-19 at Chest CT

Marcelo Straus Takahashi; Matheus R. F. Mendonça; Ian Pan; Rogério Zaia Pinetti; Felipe Kitamura

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Research Article

Multiple sclerosis segmentation method in magnetic resonance imaging using fuzzy connectedness, binarization, mathematical morphology, and 3D reconstruction

André Luiz Costa de Arruda; Daniel Aparecido Vital; Felipe Kitamura; Nitamar Abdala; Matheus Cardoso Moraes

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Research Article

Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

Adam E. Flanders; Luciano M. Prevedello; George Shih; Safwan S. Halabi; Jayashree Kalpathy–Cramer; Robyn L. Ball; John Mongan; Anouk Stein; Felipe Kitamura; Matthew P. Lungren; Gagandeep Choudhary; Lesley Cala; Luiz Coelho; Monique A. Mogensen; Fanny Morón; Elka Miller; Ichiro Ikuta; Vahe M. Zohrabian; Olivia McDonnell; Christie M. Lincoln; Lubdha M. Shah; David Joyner; Amit Agarwal; Ryan K. Lee; Jaya Nath; For the RSNA-ASNR 2019 Brain Hemorrhage CT Annotators

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Letter

Reproducible Artificial Intelligence Research Requires Open Communication of Complete Source Code

Felipe Kitamura; Ian Pan; Timothy L. Kline

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Research Article

Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology

Anthony D. Yao; D. Cheng; Ian Pan; Felipe Kitamura

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Research Article

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

Edward H. Lee; Jimmy Zheng; Errol Colak; Maryam Mohammadzadeh; Golnaz Houshmand; Nicholas Bevins; Felipe Kitamura; Emre Altınmakas; Eduardo Pontes Reis; Jae-Kwang Kim; Chad Klochko; Michelle Han; Sadegh Moradian; Ali Mohammadzadeh; Hashem Sharifian; Hassan Hashemi; Kavous Firouznia; Hossien Ghanaati; Masoumeh Gity; Hakan Doğan; Hojjat Salehinejad; Henrique Alves; Jayne Seekins; Nitamar Abdala; Çetin Atasoy; Hamidreza Pouraliakbar; Majid Maleki; S.S. Wong; Kristen W. Yeom

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Research Article

Automated coronary calcium scoring using deep learning with multicenter external validation

David Eng; Christopher G. Chute; Nishith Khandwala; Pranav Rajpurkar; Jin Long; Sam Shleifer; Mohamed H. Khalaf; Alexander T. Sandhu; Fátima Rodríguez; David J. Maron; Saeed Seyyedi; Daniele Marin; Ilana Golub; Matthew J. Budoff; Felipe Kitamura; Marcelo Straus Takahashi; Ross W. Filice; Rajesh P. Shah; John Mongan; Kimberly Kallianos; Curtis P. Langlotz; Matthew P. Lungren; Andrew Y. Ng; Bhavik N. Patel

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Editorial

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

Paulo Eduardo de Aguiar Kuriki; Felipe Kitamura

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Review

Clinical Artificial Intelligence Applications in Radiology: Neuro

Felipe Kitamura; Ian Pan; Suely Fazio Ferraciolli; Kristen W. Yeom; Nitamar Abdala

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Research Article

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

Ittai Dayan; Holger R. Roth; Aoxiao Zhong; Ahmed Harouni; Amilcare Gentili; Anas Z. Abidin; Andy Liu; Anthony Costa; Bradford J. Wood; Chien‐Sung Tsai; Chih‐Hung Wang; Chun‐Nan Hsu; C. K. Lee; Peiying Ruan; Daguang Xu; Dufan Wu; Eddie Huang; Felipe Kitamura; Griffin Lacey; Gustavo César de Antônio Corradi; Gustavo Niño; Hao-Hsin Shin; Hirofumi Obinata; Hui Ren; Jason C. Crane; Jesse Tetreault; Jiahui Guan; John W. Garrett; Joshua Kaggie; Jung Gil Park; Keith J. Dreyer; Krishna Juluru; Kristopher Kersten; Marcio Aloísio Bezerra Cavalcanti Rockenbach; Marius George Linguraru; Masoom A. Haider; Meena AbdelMaseeh; Nicola Rieke; Pablo F. Damasceno; Pedro Mário Cruz e Silva; Po‐Chuan Wang; Sheng Xu; Shuichi Kawano; Sira Sriswasdi; Soo Young Park; Thomas M. Grist; Varun Buch; Watsamon Jantarabenjakul; Weichung Wang; Won Young Tak; Xiang Li; Xihong Lin; Young Joon Kwon; Abood Quraini; Andrew Feng; Andrew N. Priest; Barış Türkbey; Benjamin S. Glicksberg; Bernardo C. Bizzo; Byung Seok Kim; Carlos Tor-Díez; Chia‐Cheng Lee; Chia‐Jung Hsu; Chin Lin; Chiu-Ling Lai; Christopher P. Hess; Colin B. Compas; Deepeksha Bhatia; Eric K. Oermann; Evan Leibovitz; Hisashi Sasaki; Hitoshi Mori; Isaac Yang; Jae Ho Sohn; Krishna Nand Keshava Murthy; Li‐Chen Fu; Matheus R. F. Mendonça; Mike Fralick; Min Kyu Kang; Mohammad Adil; Natalie Gangai; Peerapon Vateekul; Pierre Elnajjar; Sarah Hickman; Sharmila Majumdar; Shelley McLeod; Sheridan Reed; Stefan Gräf; Stephanie A. Harmon; Tatsuya Kodama; Thanyawee Puthanakit; Tony Mazzulli; Vitor Lima de Lavor; Yothin Rakvongthai; Yu Rim Lee; Yuhong Wen; Fiona J. Gilbert; Mona G. Flores; Quanzheng Li

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Research Article

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

Felipe Kitamura; Oge Marques

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No papers match your search.

Diffusion-Weighted Imaging with Color-Coded Images: Towards a Reduction in Reading Time While Keeping a Similar Accuracy

The RSNA Pediatric Bone Age Machine Learning Challenge

The Type III Secretion System (T3SS)-Translocon of Atypical Enteropathogenic Escherichia coli (aEPEC) Can Mediate Adherence

Abstract WP68: Interpretable Deep Learning-based Characterization of Intracranial Hemorrhage on Head CT

Stay ahead in imaging

Browse all

Using DICOM Metadata for Radiological Image Series Categorization: a Feasibility Study on Large Clinical Brain MRI Datasets

Methodologic Assessment of a Deep Learning Approach Measuring Lung Opacification in COVID-19 at Chest CT

Multiple sclerosis segmentation method in magnetic resonance imaging using fuzzy connectedness, binarization, mathematical morphology, and 3D reconstruction

Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge

Reproducible Artificial Intelligence Research Requires Open Communication of Complete Source Code

Deep Learning in Neuroradiology: A Systematic Review of Current Algorithms and Approaches for the New Wave of Imaging Technology

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

Automated coronary calcium scoring using deep learning with multicenter external validation

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

Clinical Artificial Intelligence Applications in Radiology: Neuro

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

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