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Semi-Supervised Learning via Compact Latent Space Clustering.

, , , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2464-2473. PMLR, (2018)

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Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks., , , , , , , and . MICCAI (7), volume 12267 of Lecture Notes in Computer Science, page 710-719. Springer, (2020)Domain Generalization via Model-Agnostic Learning of Semantic Features., , , and . NeurIPS, page 6447-6458. (2019)Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty., , , , , , , and . NeurIPS, (2020)Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology., , , , , , , , , and 11 other author(s). CHI, page 444:1-444:22. ACM, (2024)Semi-Supervised Learning via Compact Latent Space Clustering., , , , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2464-2473. PMLR, (2018)Nonparametric Density Flows for MRI Intensity Normalisation., and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 206-214. Springer, (2018)Analysing the effectiveness of a generative model for semi-supervised medical image segmentation., , , , and . ML4H@NeurIPS, volume 193 of Proceedings of Machine Learning Research, page 290-310. PMLR, (2022)Bayesian Deep Learning for Accelerated MR Image Reconstruction., , , , , , , , and . MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 64-71. Springer, (2018)Causality matters in medical imaging., , and . CoRR, (2019)Deep Structural Causal Models for Tractable Counterfactual Inference., , and . NeurIPS, (2020)