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Ana Sofia Castro Verde

Showing results (1-10 of 7) with videos related to

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Insights Into Imaging|March 27, 2025
Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learningJosé Guilherme de Almeida, Ana Sofia Castro Verde, Carlos Bilreiro, et al.
Computers in Biology and Medicine|November 5, 2025
Self-supervised learning leads to improved performance in biparametric prostate MRI classificationJosé Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, et al.
Radiology. Artificial Intelligence|January 22, 2025
Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRIJosé Guilherme de Almeida, Nuno M Rodrigues, Ana Sofia Castro Verde, et al.
Scientific Reports|April 30, 2025
Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detectorNuno M Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
Radiology. Imaging Cancer|August 15, 2025
Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter StudyAna Carolina Rodrigues, José Guilherme de Almeida, Nuno Rodrigues, et al.
Computers in Biology and Medicine|March 5, 2024
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective dataNuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
Computers in Biology and Medicine|March 27, 2024
Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216]Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Insights Into Imaging|March 27, 2025
Automatic sequence identification in multicentric prostate multiparametric MRI datasets for clinical machine-learningJosé Guilherme de Almeida, Ana Sofia Castro Verde, Carlos Bilreiro, et al.
Computers in Biology and Medicine|November 5, 2025
Self-supervised learning leads to improved performance in biparametric prostate MRI classificationJosé Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, et al.
Radiology. Artificial Intelligence|January 22, 2025
Impact of Scanner Manufacturer, Endorectal Coil Use, and Clinical Variables on Deep Learning-assisted Prostate Cancer Classification Using Multiparametric MRIJosé Guilherme de Almeida, Nuno M Rodrigues, Ana Sofia Castro Verde, et al.
Scientific Reports|April 30, 2025
Effective reduction of unnecessary biopsies through a deep-learning-assisted aggressive prostate cancer detectorNuno M Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
Radiology. Imaging Cancer|August 15, 2025
Improving Clinically Significant Prostate Cancer Detection with a Multimodal Machine Learning Approach: A Large-Scale Multicenter StudyAna Carolina Rodrigues, José Guilherme de Almeida, Nuno Rodrigues, et al.
Computers in Biology and Medicine|March 5, 2024
Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective dataNuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
Computers in Biology and Medicine|March 27, 2024
Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216]Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, et al.
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