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Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models.

, , , , , and . MICCAI (5), volume 14224 of Lecture Notes in Computer Science, page 472-481. Springer, (2023)

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Segmentation-Consistent Probabilistic Lesion Counting., , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 1034-1056. PMLR, (2022)Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation., , , and . MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 655-663. Springer, (2018)Bayesian Classification of Multiple Sclerosis Lesions in Longitudinal MRI Using Subtraction Images., , , , and . MICCAI (2), volume 6362 of Lecture Notes in Computer Science, page 290-297. Springer, (2010)Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI., , , , and . MICCAI (3), volume 8151 of Lecture Notes in Computer Science, page 543-550. Springer, (2013)Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs., , , , , and . CoRR, (2024)CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images., , and . ISBI, page 127-130. IEEE, (2020)Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI., , , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 387-406. PMLR, (2022)Cortical Surface Analysis of Multi-contrast MR Data to Improve Detection of Cortical Pathology in Multiple Sclerosis., , , , and . MBIA, volume 8159 of Lecture Notes in Computer Science, page 138-149. Springer, (2013)Optimal Gaussian Mixture Models of Tissue Intensities in Brain MRI of Patients with Multiple-Sclerosis., , , , , and . MLMI, volume 6357 of Lecture Notes in Computer Science, page 165-173. Springer, (2010)The clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI., , and . Int. J. Imaging Syst. Technol., 23 (4): 304-313 (2013)