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Alvaro Gomariz

Characterizing the Interpretability of Attention Maps in Digital Pathology

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Jul 02, 2024
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Joint semi-supervised and contrastive learning enables zero-shot domain-adaptation and multi-domain segmentation

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May 08, 2024
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Integrating multiscale topology in digital pathology with pyramidal graph convolutional networks

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Mar 22, 2024
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Aggregation Model Hyperparameters Matter in Digital Pathology

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Nov 29, 2023
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Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation

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Mar 07, 2022
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Probabilistic Spatial Analysis in Quantitative Microscopy with Uncertainty-Aware Cell Detection using Deep Bayesian Regression of Density Maps

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Feb 23, 2021
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Utilizing Uncertainty Estimation in Deep Learning Segmentation of Fluorescence Microscopy Images with Missing Markers

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Jan 27, 2021
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Modality Attention and Sampling Enables Deep Learning with Heterogeneous Marker Combinations in Fluorescence Microscopy

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Aug 27, 2020
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Siamese Networks with Location Prior for Landmark Tracking in Liver Ultrasound Sequences

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Jan 23, 2019
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