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Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields.

, , , , and . CIARP, volume 10657 of Lecture Notes in Computer Science, page 168-176. Springer, (2017)

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Non-stationary Generalized Wishart Processes for Enhancing Resolution over Diffusion Tensor Fields., , , , and . ISVC, volume 11241 of Lecture Notes in Computer Science, page 371-381. Springer, (2018)A probabilistic framework based on SLIC-superpixel and Gaussian processes for segmenting nerves in ultrasound images., , and . EMBC, page 4133-4136. IEEE, (2016)Discriminative Training for Convolved Multiple-Output Gaussian Processes., , , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 595-602. Springer, (2015)Automatic segmentation of nerve structures in ultrasound images using Graph Cuts and Gaussian processes., , and . EMBC, page 3089-3092. IEEE, (2015)HAPAN: Support Tool for Practicing Regional Anesthesia in Peripheral Nerves., , , , and . IWINAC (1), volume 11486 of Lecture Notes in Computer Science, page 130-137. Springer, (2019)Analysis of the Geometry and Electric Properties of Brain Tissue in Simulation Models for Deep Brain Stimulation., , and . CIARP, volume 10125 of Lecture Notes in Computer Science, page 493-501. (2016)Peripheral nerve segmentation using Nonparametric Bayesian Hierarchical Clustering., , and . EMBC, page 3101-3104. IEEE, (2015)Indian Buffet Process for Model Selection in Latent Force Models., , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 635-642. Springer, (2015)Global and Local Gaussian Process for Multioutput and Treed Data., , and . ICIAP (1), volume 9279 of Lecture Notes in Computer Science, page 161-171. Springer, (2015)Convolved Multi-output Gaussian Processes for Semi-Supervised Learning., , and . ICIAP (1), volume 9279 of Lecture Notes in Computer Science, page 109-118. Springer, (2015)