The long intergenic noncoding RNA ARES modulates root architecture in Arabidopsis von Roulé, Thomas, Legascue, María Florencia, Barrios, Andana, Gaggion, Nicolás, Crespi, Martin, Ariel, Federico, Blein, Thomas

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CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images von Gaggion, Nicolás, Mosquera, Candelaria, Mansilla, Lucas, Saidman, Julia Mariel, Aineseder, Martina, Milone, Diego H., Ferrante, Enzo

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ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture von Gaggion, Nicolás, Ariel, Federico, Daric, Vladimir, Lambert, Éric, Legendre, Simon, Roulé, Thomas, Camoirano, Alejandra, Milone, Diego H, Crespi, Martin, Blein, Thomas, Ferrante, Enzo

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Unsupervised Bias Discovery in Medical Image Segmentation von Gaggion, Nicolás, Echeveste, Rodrigo, Mansilla, Lucas, Milone, Diego H., Ferrante, Enzo

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Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation von Gaggion, Nicolás, Mansilla, Lucas, Milone, Diego H., Ferrante, Enzo

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Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis von Gaggion, Nicolas, Mansilla, Lucas, Mosquera, Candelaria, Milone, Diego H., Ferrante, Enzo

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Fitting Skeletal Models via Graph-based Learning von Gaggion, Nicolás, Ferrante, Enzo, Paniagua, Beatriz, Vicory, Jared

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Multi-center anatomical segmentation with heterogeneous labels via landmark-based models von Gaggion, Nicolás, Vakalopoulou, Maria, Milone, Diego H, Ferrante, Enzo

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CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images von Gaggion, Nicolás, Mosquera, Candelaria, Mansilla, Lucas, Saidman, Julia Mariel, Aineseder, Martina, Milone, Diego H, Ferrante, Enzo

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Unsupervised bias discovery in medical image segmentation von Gaggion, Nicolás, Echeveste, Rodrigo, Mansilla, Lucas, Milone, Diego H, Ferrante, Enzo

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Hybrid graph convolutional neural networks for landmark-based anatomical segmentation von Gaggion, Nicolás, Mansilla, Lucas, Milone, Diego, Ferrante, Enzo

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Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis von Gaggion, Nicolás, Mansilla, Lucas, Mosquera, Candelaria, Milone, Diego H, Ferrante, Enzo

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Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI von Gaggion, Nicolás, Matheson, Benjamin A, Xia, Yan, Bonazzola, Rodrigo, Ravikumar, Nishant, Taylor, Zeike A, Milone, Diego H, Frangi, Alejandro F, Ferrante, Enzo

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Unsupervised bias discovery in medical image segmentation von Gaggion, Nicolás, Echeveste, Rodrigo, Mansilla, Lucas, Milone, Diego H, Ferrante, Enzo

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Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI von Gaggion, Nicolás, Matheson, Benjamin A, Xia, Yan, Bonazzola, Rodrigo, Ravikumar, Nishant, Taylor, Zeike A, Milone, Diego H, Frangi, Alejandro F, Ferrante, Enzo

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Multi-view Hybrid Graph Convolutional Network for Volume-to-mesh Reconstruction in Cardiovascular MRI von Gaggion, Nicolás, Matheson, Benjamin A, Xia, Yan, Bonazzola, Rodrigo, Ravikumar, Nishant, Taylor, Zeike A, Milone, Diego H, Frangi, Alejandro F, Ferrante, Enzo

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Supporting data for "ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture" von Nicolás, Gaggion, Federico, Ariel, Vladimir, Daric, Eric, Lambert, Simon, Legendre, Thomas, Roule, Alejandra, Camoirano, Diego, Milone H., Martin, Crespi, Thomas, Blein, Enzo, Ferrante

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