Fides Regina Schwartz
Orcid: 0000-0002-3598-7082
According to our database1,
Fides Regina Schwartz
authored at least 7 papers
between 2021 and 2024.
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Bibliography
2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
A user interface to communicate interpretable AI decisions to radiologists (Erratum).
Proceedings of the Medical Imaging 2023: Image Perception, 2023
Proceedings of the Medical Imaging 2023: Image Perception, 2023
2022
Interpretable deep learning models for better clinician-AI communication in clinical mammography.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
2021
A case-based interpretable deep learning model for classification of mass lesions in digital mammography.
Nat. Mach. Intell., 2021
Interpretable Mammographic Image Classification using Cased-Based Reasoning and Deep Learning.
CoRR, 2021
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography.
CoRR, 2021