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Acute and chronic effects of bithalamic deep brain stimulation on dopaminergic transmission.

, , , , , , , , and . NeuroImage, 52 (Supplement-1): S103 (2010)

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Acute and chronic effects of bithalamic deep brain stimulation on dopaminergic transmission., , , , , , , , and . NeuroImage, 52 (Supplement-1): S103 (2010)A brief demonstration of frontostriatal connectivity in OCD patients with intracranial electrodes., , , , , , , , , and . NeuroImage, (2020)Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis, , , and . Expert Systems with Applications, 41 (11): 5405-5415 (September 2014)ESWA IMPACT FACTOR: 1.965 (2013).Virus genomes reveal factors that spread and sustained the Ebola epidemic., , , , , , , , , and 86 other author(s). Nat., 544 (7650): 309-315 (2017)Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets., , , and . ECML/PKDD (3), volume 8726 of Lecture Notes in Computer Science, page 460-463. Springer, (2014)Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering., , , and . CBMS, page 207-212. IEEE Computer Society, (2016)Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis., , , , , , , , , and 6 other author(s). Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 12036 of SPIE Proceedings, SPIE, (2022)Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets, , , and . European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), volume 8726 of Lecture Notes in Computer Science, page 460-463. Springer Berlin Heidelberg, (2014)Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis., , , and . Expert Syst. Appl., 41 (11): 5405-5415 (2014)Subpopulation Discovery in Epidemiological Data with Subspace Clustering, , , and . Foundations of Computing and Decision Sciences (FCDS), 39 (4): 271-300 (2014)