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Disambiguation of "López-Pérez, Miguel"

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Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification.

, , , , and . IEEE Access, (2023)

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Miguel Pérez-Ramírez

Juan Miguel Rodríguez López

Juan Miguel Rodríguez López

Carlos Miguel Pérez-Day

Juan Miguel López Amo

 

Other publications of authors with the same name

A TV-based image processing framework for blind color deconvolution and classification of histological images., , , , , , and . Digit. Signal Process., (2020)An end-to-end approach to combine attention feature extraction and Gaussian Process models for deep multiple instance learning in CT hemorrhage detection., , , , , , and . Expert Syst. Appl., (2024)Learning from crowds for automated histopathological image segmentation., , , , , , , and . Comput. Medical Imaging Graph., (2024)Classifying Prostate Histological Images Using Deep Gaussian Processes on a New Optical Density Granulometry-Based Descriptor., , , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 39-46. Springer, (2019)Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification., , , , and . IEEE Access, (2023)Deep Gaussian processes for multiple instance learning: Application to CT intracranial hemorrhage detection., , , , and . Comput. Methods Programs Biomed., (2022)A new optical density granulometry-based descriptor for the classification of prostate histological images using shallow and deep Gaussian processes., , , , , and . Comput. Methods Programs Biomed., (2019)Are you sure it's an artifact? Artifact detection and uncertainty quantification in histological images., , , , , and . Comput. Medical Imaging Graph., (2024)A Contribution to Deep Learning Approaches for Automatic Classification of Volcano-Seismic Events: Deep Gaussian Processes., , , and . IEEE Trans. Geosci. Remote. Sens., 59 (5): 3875-3890 (2021)Annotation protocol and crowdsourcing multiple instance learning classification of skin histological images: The CR-AI4SkIN dataset., , , , , , , , and . Artif. Intell. Medicine, (November 2023)