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If you are a master student interested in neuroscience research and image analysis, we might have a project for you. Contact us!
Adriana Jorge, REducing SPEECH-related side-effects of deep brain stimulation in Parkinson's disease via automated speech analysis
India James-Lichter, mapping of chronic stimulation data for Parkinson's disease
Bryan Perdrizat, 2022, Tractography Modelling of Deep Brain Stimulation for Parkinson's disease
Jan Waligorski, 2022, Exploring 3D Deep Learning for Stimulation Maps for Deep Brain Stimulation
Quentin Savary, 2022, Better probabilistic stimulation maps.
Simona Leserri, 2022, Tractography Modelling of Deep Brain Stimulation for Psychiatric Disorders
Simon Nordenström, 2021, Sweet-spot-based assisted programming for DBS.
Roberto Garza, 2020, Patient-Specific Anisotropic VTA Estimation. Engineering master thesis. Accepted as full paper at the IEEE Engineering in Medicine and Biology Conference 2021 (link to follow).
Jean-Philippe Lévy, 2020, Structure-Function Relationship of the Posterior Subthalamic Area with Directional Deep Brain Stimulation for Essential Tremor. Part of MD doctoral thesis.
Martin Schober, 2020, Deep Brain Stimulation for Chronic Cluster Headache: Meta-Analysis of Individual Patient Data. Part of MD doctoral thesis.
Martin Schober, 2019, Detecting the Orientation of Deep Brain Stimulation Leads from Magnetic Resonance Images. MD master thesis.