Nov 8, 2023 · We propose brainSPADE3D, a 3D generative model for brain MRI and associated segmentations, where the user can condition on specific pathological phenotypes and ...
Feb 20, 2024 · We propose brainSPADE3D, a 3D generative model for brain MRI and associated segmentations, where the user can condition on specific pathological phenotypes and ...
In this work, we propose brainSPADE3D, a 3D generative model for brain MRI and associated segmentations, where the user can condition on specific pathological ...
In this work, we propose brainSPADE3D, a 3D generative model for brain MRI and associated segmentations, where the user can condition on specific pathological ...
This work proposes a two-stage generative model capable of producing 2D and 3D semantic label maps and corresponding multi-modal images.
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Generating multi-pathological and multi-modal images and labels for ...
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This work proposes a two-stage generative model capable of producing 2D and 3D semantic label maps and corresponding multi-modal images.
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Jul 31, 2024 · We can now generate 3D synthetic label maps and associated images, while controlling for the contents of the labels, including multiple pathologies, and the ...
We introduce a generative probabilistic model for segmentation of tumors in multi-dimensional images. The model allows for different tumor boundaries in each ...
The proposed joint imaging-segmentation generative model is shown to generate high-fidelity synthetic images and associated segmentations, with the ability to ...
In this paper, we propose a method to construct a graph by learning the population- and patient-specific feature sets of multimodal magnetic resonance (MR) ...