Peter Gemmar

发表

An Approach for Data Analysis and Forecasting with Neuro Fuzzy Systems - Demonstrated on Flood Events at River Mosel

Manfred Stüber, Peter Gemmar, P. Gemmar, 1997, Fuzzy Days.

Machine supported Development of Fuzzy - Flood Forecast Systems

Peter Gemmar, M. Stüber, M. Greving, 2000 .

Ein digitales on-line Stereokorrelationssystem

Peter Gemmar, 1979, DAGM-Symposium.

Post-operative deep brain stimulation assessment: Automatic data integration and report generation

Peter Gemmar, Jorge Goncalves, Andreas Husch, 2018, Brain Stimulation.

Ein grundlegendes Operationsmodell für die strukturierte parallele Bildverarbeitung: Entwurf und Anwendung

Peter Gemmar, 1989 .

Transitively Consistent and Unbiased Multi-Image Registration Using Numerically Stable Transformation Synchronisation

Johan Thunberg, Florian Bernard, Peter Gemmar, 2015 .

Verbesserte Hochwasservorhersage durch Korrektur von Niederschlagsvorhersagen

Manfred Stüber, Peter Gemmar, Martin Greving, 2006 .

Advanced Methods for Target Navigation using Microelectrode Recordings in Stereotactic Neurosurgery for Deep Brain Stimulation

Peter Gemmar, Frank Hertel, Oliver Gronz, 2008, 2008 21st IEEE International Symposium on Computer-Based Medical Systems.

Control of miniature proton exchange membrane fuel cells based on fuzzy logic

Jürgen Schumacher, Peter Gemmar, M. Denne, 2004 .

Mortality Prediction for COVID-19 Patients: Methods and Potential

Peter Gemmar, 2020 .

Design of an Iconic Kernel System

Peter Gemmar, G. Hofele, 1991, Comput. Graph..

Integration of sparse electrophysiological measurements with preoperative MRI using 3D surface estimation in deep brain stimulation surgery

Johan Thunberg, Peter Gemmar, Andreas Husch, 2017, Medical Imaging.

Concepts to accelerate water balance model computation

Peter Gemmar, Oliver Gronz, Markus C. Casper, 2010 .

Shape-aware 3D Interpolation using Statistical Shape Models

Johan Thunberg, Florian Bernard, Peter Gemmar, 2015 .

Anforderungen an Verarbeitungsstrukturen für die Bildverarbeitung

Peter Gemmar, Faustino Palomino, 1983, Elektron. Rechenanlagen.

Shape‐aware surface reconstruction from sparse 3D point‐clouds

Johan Thunberg, Luis Salamanca, Florian Bernard, 2016, Medical Image Anal..

Computer aided Planning and Navigation for Patient-Specific Deep Brain Stimulation

Florian Bernard, Peter Gemmar, Andreas Husch, 2013, Biomedizinische Technik. Biomedical engineering.

PaCER - A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation

Peter Gemmar, Jorge Goncalves, Andreas Husch, 2017, NeuroImage: Clinical.

Linear Shape Deformation Models with Local Support Using Graph-Based Structured Matrix Factorisation

Johan Thunberg, Florian Bernard, Peter Gemmar, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Shape-aware Surface Reconstruction from Sparse Data pdf

Johan Thunberg, Luis Salamanca, Florian Bernard, 2016, ArXiv.

Assessment of Electrode Displacement and Deformation with Respect to Pre-Operative Planning in Deep Brain Stimulation

Florian Bernard, Peter Gemmar, Jörg Lohscheller, 2015, Bildverarbeitung für die Medizin.

A solution for multi-alignment by transformation synchronisation

Johan Thunberg, Florian Bernard, Peter Gemmar, 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

MER Feature Analysis and Selection for Computer-Aided GPe/GPi Navigation

Peter Gemmar, Frank Hertel, Y. Thesen, 2010 .

Fast correspondences for statistical shape models of brain structures

Nikos Vlassis, Florian Bernard, Peter Gemmar, 2016, SPIE Medical Imaging.

An Extensible Development Environment for 3D Segmentations based on Active Shape Models

Florian Bernard, Peter Gemmar, Andreas Husch, 2014 .

Konzept für ein standardisiertes Bildverarbeitungssystem auf der Basis eines allgemeinen Operationsmodells für die Ikonik

Peter Gemmar, G. Hofele, Peter Gemmar, 1987, GI Jahrestagung.

Eyelid contour detection and tracking for startle research related eye-blink measurements from high-speed video records

Florian Bernard, Peter Gemmar, Hartmut Schächinger, 2013, Comput. Methods Programs Biomed..

Improvements on the Feasibility of Active Shape Model-based Subthalamic Nucleus Segmentation

Florian Bernard, Peter Gemmar, Andreas Husch, 2012 .

Improving the Consistency of Manual Deep Brain Structure Segmentations by Combining Variational Interpolation, Simultaneous Multi-Modality Visualisation and Histogram Equilisation

Florian Bernard, Peter Gemmar, Andreas Husch, 2014 .

MER Classification for Deep Brain Stimulation

Peter Gemmar, Frank Hertel, Oliver Gronz, 2008 .

Susceptibility-Weighted MRI for Deep Brain Stimulation: Potentials in Trajectory Planning

Florian Bernard, Peter Gemmar, Andreas Husch, 2015, Stereotactic and Functional Neurosurgery.

Fuzzy logic-based rainfall—runoff modelling using soil moisture measurements to represent system state

Manfred Stüber, Peter Gemmar, Oliver Gronz, 2007 .