Výsledky vyhledávání - "Lodygensky, Gregory"

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Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization

Autor: Beizaee, Farzad, Lodygensky, Gregory A., Adamson, Chris L., Thompso, Deanne K., Cheon, Jeanie L. Y., Anderso, Alicia J. Spittl. Peter J., Desrosier, Christian, Dolz, Jose

Lack of standardization and various intrinsic parameters for magnetic resonance (MR) image acquisition results in heterogeneous images across different sites and devices, which adversely affects the generalization of deep neural networks. To alleviat

Externí odkaz: http://arxiv.org/abs/2407.15717

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Harmonizing Flows: Unsupervised MR harmonization based on normalizing flows

Autor: Beizaee, Farzad, Desrosiers, Christian, Lodygensky, Gregory A., Dolz, Jose

In this paper, we propose an unsupervised framework based on normalizing flows that harmonizes MR images to mimic the distribution of the source domain. The proposed framework consists of three steps. First, a shallow harmonizer network is trained to

Externí odkaz: http://arxiv.org/abs/2301.11551

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On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation

Autor: Van Waerebeke, Martin, Lodygensky, Gregory, Dolz, Jose

Semi-supervised learning has emerged as an appealing strategy to train deep models with limited supervision. Most prior literature under this learning paradigm resorts to dual-based architectures, typically composed of a teacher-student duple. To dri

Externí odkaz: http://arxiv.org/abs/2203.03587

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