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Felipe Kitamura

Showing results (11-20 of 24) with videos related to

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Journal of Imaging Informatics in Medicine|November 18, 2024
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation ModelsFarhad Maleki, Linda Moy, Reza Forghani, et al.
Journal of Imaging Informatics in Medicine|October 22, 2024
Correction: Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.
Journal of Imaging Informatics in Medicine|March 14, 2024
Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.
Journal of Imaging Informatics in Medicine|June 4, 2025
Best Practices and Checklist for Reviewing Artificial Intelligence-Based Medical Imaging Papers: ClassificationTimothy L Kline, Felipe Kitamura, Daniel Warren, et al.
Frontiers in Neurology|December 29, 2023
Performance of RAPID noncontrast CT stroke platform in large vessel occlusion and intracranial hemorrhage detectionVivek Yedavalli, Jeremy Josef Heit, Seena Dehkharghani, et al.
NPJ Digital Medicine|June 2, 2021
Automated coronary calcium scoring using deep learning with multicenter external validationDavid Eng, Christopher Chute, Nishith Khandwala, et al.
Scientific Reports|January 5, 2023
Head CT deep learning model is highly accurate for early infarct estimationRomane Gauriau, Bernardo C Bizzo, Donnella S Comeau, et al.
NPJ Digital Medicine|January 30, 2021
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CTEdward H Lee, Jimmy Zheng, Errol Colak, et al.
Medical Physics|October 1, 2025
Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIMFelipe Kitamura, Timothy Kline, Daniel Warren, et al.
Journal of Imaging Informatics in Medicine|October 1, 2025
Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIMFelipe Kitamura, Timothy Kline, Daniel Warren, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Journal of Imaging Informatics in Medicine|November 18, 2024
RIDGE: Reproducibility, Integrity, Dependability, Generalizability, and Efficiency Assessment of Medical Image Segmentation ModelsFarhad Maleki, Linda Moy, Reza Forghani, et al.
Journal of Imaging Informatics in Medicine|October 22, 2024
Correction: Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.
Journal of Imaging Informatics in Medicine|March 14, 2024
Checklist for Reproducibility of Deep Learning in Medical ImagingMana Moassefi, Yashbir Singh, Gian Marco Conte, et al.
Journal of Imaging Informatics in Medicine|June 4, 2025
Best Practices and Checklist for Reviewing Artificial Intelligence-Based Medical Imaging Papers: ClassificationTimothy L Kline, Felipe Kitamura, Daniel Warren, et al.
Frontiers in Neurology|December 29, 2023
Performance of RAPID noncontrast CT stroke platform in large vessel occlusion and intracranial hemorrhage detectionVivek Yedavalli, Jeremy Josef Heit, Seena Dehkharghani, et al.
NPJ Digital Medicine|June 2, 2021
Automated coronary calcium scoring using deep learning with multicenter external validationDavid Eng, Christopher Chute, Nishith Khandwala, et al.
Scientific Reports|January 5, 2023
Head CT deep learning model is highly accurate for early infarct estimationRomane Gauriau, Bernardo C Bizzo, Donnella S Comeau, et al.
NPJ Digital Medicine|January 30, 2021
Deep COVID DeteCT: an international experience on COVID-19 lung detection and prognosis using chest CTEdward H Lee, Jimmy Zheng, Errol Colak, et al.
Medical Physics|October 1, 2025
Teaching AI for Radiology Applications: A Multisociety‑Recommended Syllabus from the AAPM, ACR, RSNA, and SIIMFelipe Kitamura, Timothy Kline, Daniel Warren, et al.
Journal of Imaging Informatics in Medicine|October 1, 2025
Teaching AI for Radiology Applications: a Multisociety-Recommended Syllabus from the AAPM, ACR, RSNA, and SIIMFelipe Kitamura, Timothy Kline, Daniel Warren, et al.
Pageof 3