David Anglada

Position | |
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PhD Candidate | david.anglada@upc.edu |
Office | Phone |
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D5-120 |
Journal Articles top
“Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue”, Heliyon, vol. 10, no. 7, 2024.![]() |
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“Stromal tissue segmentation in Ki67 histology images based on cytokeratin-19 stain translation”, JOURNAL OF MEDICAL IMAGING, vol. 10, no. 3, 2023.![]() |
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Conference Papers top
“Enhancing Ki-67 Cell Segmentation with Dual U-Net Models: A Step Towards Uncertainty-Informed Active Learning”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2024.![]() |
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