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Saliency Based Deep Neural Network for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI.

, , and . BrainLes@MICCAI (1), volume 11992 of Lecture Notes in Computer Science, page 108-118. Springer, (2019)

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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)Segmentation-Consistent Probabilistic Lesion Counting., , , and . MIDL, volume 172 of Proceedings of Machine Learning Research, page 1034-1056. PMLR, (2022)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)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)Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs., , , , , and . CoRR, (2024)Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data., , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 483-492. PMLR, (2019)No-reference quality measure in brain MRI images using binary operations, texture and set analysis., , , and . IET Image Processing, 11 (9): 672-684 (2017)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)A Generative Model for Automatic Detection of Resolving Multiple Sclerosis Lesions., , , and . BAMBI, volume 8677 of Lecture Notes in Computer Science, page 118-129. Springer, (2014)Improved Precision in the Measurement of Longitudinal Global and Regional Volumetric Changes via a Novel MRI Gradient Distortion Characterization and Correction Technique., , , , , , and . MIAR, volume 6326 of Lecture Notes in Computer Science, page 324-333. Springer, (2010)