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A solution for multi-alignment by transformation synchronisation
The alignment of a set of objects by means of transformations plays an important role in computer vision. Whilst the case for only two objects can be solved globally, when multiple objects areExpand
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IMPLANTATION OF ELECTRODES FOR DEEP BRAIN STIMULATION OF THE SUBTHALAMIC NUCLEUS IN ADVANCED PARKINSON'S DISEASE WITH THE AID OF INTRAOPERATIVE MICRORECORDING UNDER GENERAL ANESTHESIA
OBJECTIVEDeep brain stimulation (DBS) is widely accepted in the treatment of advanced Parkinson's disease (PD) and other movement disorders. The standard implantation procedure is performed underExpand
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PaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation
Deep brain stimulation (DBS) is a neurosurgical intervention where electrodes are permanently implanted into the brain in order to modulate pathologic neural activity. The post-operativeExpand
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Fuzzy logic-based rainfall—runoff modelling using soil moisture measurements to represent system state
Abstract Initial catchment state, such as soil moisture, strongly controls rainfall—runoff transformation processes. However, due to the high spatial and temporal variability of soil moisture, pointExpand
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Qualitative and quantitative analysis of voice onset by means of a multidimensional voice analysis system (MVAS) using high-speed imaging.
High-speed filming is one of the most informative methods for assessing voice physiology data. Tracing high-speed images of the glottis provides quantitative parameters such as the glottal area andExpand
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Fast correspondences for statistical shape models of brain structures
Statistical shape models based on point distribution models are powerful tools for image segmentation or shape analysis. The most challenging part in the generation of point distribution models isExpand
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Linear Shape Deformation Models with Local Support Using Graph-Based Structured Matrix Factorisation
Representing 3D shape deformations by high-dimensional linear models has many applications in computer vision and medical imaging. Commonly, using Principal Components Analysis a low-dimensionalExpand
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Advanced Methods for Target Navigation using Microelectrode Recordings in Stereotactic Neurosurgery for Deep Brain Stimulation
This study describes novel methods for navigating and placing of electrodes into specific structures in the basal ganglia for deep brain stimulation (DBS), as it is common in the treatment ofExpand
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Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation
The post-operative validation of deep brain stimulation electrode displacement and deformation is an important task towards improved DBS targeting. In this paper a method is proposed to align modelsExpand
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Identifying State Variables in Multivariate Hydrological Time Series Using Time Series Knowledge Mining
The challenge of modeling rainfall-runoff processes is to define a suitable functional relationship between input variables representing precipitation measurements and the output runoff. Depending onExpand
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